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ST0-248 exam Dumps Source : Symantec Storage Foundation 6.1 for UNIX Technical Assessment

Test Code : ST0-248
Test designation : Symantec Storage Foundation 6.1 for UNIX Technical Assessment
Vendor designation : Symantec
: 345 existent Questions

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Symantec Symantec Storage Foundation 6.1

Symantec offering enables Datacenters to adopt SSDs while Leveraging current Storage Investments | killexams.com existent Questions and Pass4sure dumps

MOUNTAIN VIEW, CA--(Marketwired - Dec 9, 2013) -   Symantec ( NASDAQ : SYMC ) these days announced a recent edition of its Storage basis utility, enabling information centers to leverage solid status Drives (SSDs) in ways that could allow shoppers to access mission faultfinding statistics and functions four hundred % sooner than tolerable Storage locality Networks (SANs). it is likewise the handiest providing to deliver these advantages despite which storage hardware components are in location. clients because of this are free to select any storage infrastructure issuer, and agencies can compose faultfinding decisions quicker.

The boom of mission-essential records and purposes, helping real-time determination-making, is riding SSD adoption to boost efficiency in the data core. Adoption besides the fact that children has lacked the imperative management intelligence that purchasers deserve to manage their storage efficaciously and easily. Symantec's offering solves this problem while allowing purchasers to blend SSDs with latest Direct attached Storage (DAS) and SANs devoid of compromising availability. 

New feature highlights Storage foundation 6.1 functionalities and merits encompass:

  • A supplier-agnostic intuitive caching layer, enabled via Symantec's SmartIO expertise. SmartIO detects vital utility workloads and caches most efficacious the sizzling records on aboriginal SSDs, which may result in up to 400 % greater performance over natural secondary storage.
  • flexible Storage Sharing (FSS) technology makes it workable for servers to entry far flung records as if it occupy been from local storage. This enables companies to reduce storage charges by route of up to 80 percent the usage of commoditized storage hardware, whereas helping to compose inevitable that each and every records is replicated, blanketed, and purchasable.
  • accomplice and analyst prices: Intel, NetApp, Mellanox, IDC "IT agencies are challenged to maneuver huge statistics growth and enrich efficiency without enormously increasing costs or complexity. Intel's statistics seat family of strong-State Drives complement Symantec's newest Storage groundwork product to deliver quickly, professional and consistent efficiency that leverages present infrastructures for handy deployment and superior cost-efficiency." Pete Hazen, director of marketing, non-risky reminiscence solutions group, Intel

    "Symantec and NetApp are long evade companions with a historical past of supplying inventive options to remedy customers' most imperative statistics management challenges. The mixed strengths of NetApp storage and the brand recent Storage basis 6.1 application helps their mutual consumers ease the adoption of latest storage technologies reminiscent of glance whereas enhancing effectivity, efficiency and simplified administration of enterprise vital purposes dote Oracle, SAP and Microsoft change." Joel Reich, senior vp and established supervisor, NetApp

    "The exponential enlarge of statistics is difficult datacenter architects aiding actual-time enterprise analytics. Adopting advanced allotted information processing know-how permits businesses to deal with this facts growth and profit a competitive competencies by using making faultfinding company choices in existent time. The combination of stout status Drives, Mellanox's FDR 56Gb/s InfiniBand interconnect and Symantec Storage foundation 6.1 eliminates IO bottlenecks and makes it workable for corporations to achieve their company ambitions over the finest records core infrastructure." Kevin Deierling, vice president of marketing, Mellanox technologies

    "Symantec's newest providing is designed to support consumers leverage the subsequent era of storage. In modern tips-centric world, groups requisite each increased efficiency and value savings -- and it would not compose fiscal feel to rend and substitute latest storage to install recent applied sciences dote flash. however, with Storage groundwork 6.1, shoppers can ease into the adoption of recent technologies, while mixing and matching excessive-end options with ordinary hardware, with out sacrificing existing carrier stages." Ashish Nadkarni, analysis director, Storage systems, IDC

    extra substances

    comply with Symantec on sociable Media

    About Symantec Symantec protects the realm's tips, and is a world leader in safety, backup and availability solutions. Their imaginitive products and functions protect americans and counsel in any atmosphere -- from the smallest cellular machine, to the commercial enterprise data core, to cloud-primarily based systems. Their world-famous competencies in conserving facts, identities and interactions offers their purchasers aplomb in a connected world. greater counsel is purchasable at www.symantec.com or by means of connecting with Symantec at: go.symantec.com/socialmedia.

    note TO EDITORS: if you'd dote more information on Symantec supplier and its items, gratify consult with the Symantec advice Room.

    Symantec, the Symantec logo, and the Checkmark emblem are emblems or registered emblems of Symantec agency or its affiliates within the U.S. and other international locations. different names may breathe emblems of their respective owners.


    Symantec gives three-year-old Storage basis a style of flashy cache | killexams.com existent Questions and Pass4sure dumps

    Symantec has updated its lengthy-lived Storage foundation utility to utilize a server’s SSDs and pace up app and records access times through up to four hundred per cent.

    Storage groundwork, as soon as the Veritas groundwork Suite, provides on-line storage management and comprises a file gadget, deduplication, compression, thin provisioning, and storage tiering. It’s a storage abstraction layer - account DataCore with Symantec bells and whistles - and its clients will definitely profit if it could cache disk facts on flash.

    With this v6.1 update Symantec says consumers can combine SSDs with existing Direct connected Storage (DAS) and SANs with out compromising availability. Symantec says it has:

  • supplier-agnostic caching layer.
  • flexible Storage Sharing (FSS) technology permits servers to entry faraway statistics as if it were from local storage.
  • The caching utility is known as SmartIO and it “detects crucial application workloads and caches handiest the scorching records on aboriginal SSDs.”

    through the exhaust of it “software architects, server directors, and database administrators can circulation reads and writes internal the server.” relatively par for the direction at the present time.

    SmartIO “enables storage QoS for mission-vital purposes on Linux.” Its springy Storage Sharing potential can “combine shared and direct-connected storage (DAS) on Linux platforms.” each may well breathe supported on different server operating techniques in the future.

    We imagine Storage groundwork clients had been asking for this caching addition for a while and will breathe smartly pleased with the glance data dash they could now savor. read a Storage groundwork datasheet birthright here (pdf). ®


    Symantec pronounces Veritas Storage basis 5.0 HA for windows | killexams.com existent Questions and Pass4sure dumps

    Standardises Storage management, Clustering and catastrophe recovery for windows facts centers

    AUSTRALIA, Sydney – 18 January 2007 – Symantec Corp. (Nasdaq: SYMC) nowadays introduced Veritas Storage basis 5.0 inordinate Availability (HA) for home windows, a finished solution that gives you facts and software availability for Microsoft windows environments. It combines two business-main options—Storage basis for windows and Veritas Cluster Server—along with superior usability outfit to simplify storage administration, inordinate availability and catastrophe restoration for mission-critical windows purposes equivalent to Microsoft trade, SQL Server, and SharePoint Portal Server.

    "shoppers are putting extra of their mission vital purposes on the home windows platform. They want storage management solutions that supply higher availability and superior catastrophe recovery than ever before," mentioned Laura DuBois, research director, Storage utility at IDC. "Storage foundation HA for windows offers agencies entertaining capabilities in non-disruptive storage operations, scalable elevated availability, and catastrophe healing solutions—together with centralised storage visibility and wield which are must-have necessities for home windows environments."

    software Infrastructure Standardisation for the facts center

    Veritas Storage basis helps manage explosive records increase, optimise storage hardware investments, provide unparalleled utility availability and drive down operational costs by the exhaust of a set of typical tools for home windows, Linux, and UNIX environments. Storage groundwork for home windows introduces recent capabilities to aid clients standardise their storage and elevated availability utility infrastructure.

    New to this liberate is Veritas Storage basis simple for home windows, a free edition of Storage basis for home windows, designed for edge-tier and infrastructure workloads, enabling customers to leverage Storage foundation for home windows and capitalise on the merits of a common infrastructure solution throughout every server of their records centre. Storage basis fundamental for home windows comprises Dynamic Multi-pathing (DMP) and runs on physical and virtual servers with outfit configurations that Do not exceed 4 volumes or 2 actual processors in a single physical equipment. Storage groundwork fundamental for home windows is obtainable for down load at www.symantec.com/sfbasic . valued clientele standardising on Storage foundation for windows and DMP can leverage the broadest storage array support of any multi-pathing solution—together with assist for main array families from EMC, HP, HDS, IBM, community appliance, and sun—to achieve essentially the most agility and highest revert on their storage hardware investments. shoppers even occupy the pliability to select the storage network infrastructure that most closely fits their wants. Symantec is the simplest seller fully certified with Microsoft’s MPIO framework for each Fibre Channel HBA StorPort and Microsoft iSCSI utility. additionally, Storage basis for home windows introduces advanced iSCSI SAN administration capabilities together with computerized discovery, management, and configuration of IP-based mostly SANs.

    "Standardisation on Storage groundwork HA for home windows permits shoppers to occupy extra flexibility of their storage hardware decisions and drives down operational fees via enabling them to exhaust a single tool," referred to Rob Soderbery, senior vice president of Symantec’s Storage basis group. "This unlock has furthered the ROI of standardisation via cutting back the pervade of deploying Storage groundwork on each server and enabling purchasers to occupy visibility and centralised control of storage management, inordinate availability, and catastrophe healing capabilities across their entire facts centre."

    more suitable Storage Manageability and performance

    Storage basis for windows makes it workable for valued clientele to pressure down operational cost while improving mission crucial utility carrier smooth agreements by introducing a group of recent capabilities for making improvements to manageability and efficiency. Symantec will add profit for Storage groundwork administration Server, which provides comprehensive visibility and manage each and every through the information centre infrastructure. This multi-host administration capacity allows IT establishments to centrally control their software, server, and storage environments, leading to quick vicissitude resolution, simplified information migrations, higher provider stages, and reduced possibility of human error. Storage foundation administration Server will aid Storage groundwork for windows four.x and 5.0, Veritas extent Replicator alternative, and Storage foundation for windows primary, which capacity shoppers can view and manage each and every such instances of Storage groundwork across their complete records centre via a single, unified tool.

    Administration charges are likewise decreased by means of a collection of latest configuration wizards which compose storage, cluster, and replication installation set up instances greater than 50 % sooner and permit administrators to exhaust a simple GUI to schedule aspect-in-time copies when the exhaust of the FlashSnap alternative.

    To breathe positive that consumers can recognise the optimum stages of performance, Storage basis for windows provides a collection of recent software performance bettering capabilities together with:

    * Dynamic optimisation of storage volume design improves performance through as much as 40 p.c with its automated song aligned extent capacity;

    * four recent load-balancing algorithms for DMP permit granular efficiency tuning for Microsoft exchange and SQL Server purposes; and

    * Veritas FlashSnap option offers up to 60 p.c enhanced photo performance

    "Ease-of-use is essential when settings up clusters, taking element-in-time copies, recovering disk house and ensuring proper server configurations," mentioned Jerry Craft, coadjutant vp and supervisor of network capabilities, Farmers and merchants bank of long beach, California . "The wizards delivered in Veritas Storage groundwork 5.0 HA for windows will aid my group reclaim time and crop back blunders, whereas taking the guesswork out of historically resource-intensive, yet vital storage administration tasks."

    Simplified Clustering with Veritas Cluster Server

    Veritas Cluster Server, essentially the most subtle inordinate availability and disaster recuperation retort for windows environments, additionally introduces recent points designed to enhance manageability and reduce administration tribulation of providing elevated availability. Cluster Server’s comfy, net-primarily based Cluster administration Console simplifies the assignment of managing, monitoring, and configuring dissimilar clusters for windows, Linux, and Unix, running in varied information centres. Cluster Server greatly reduces operational expenses by offering the same comprehensive insurance policy across physical and digital server environments together with home windows, VMware, and Microsoft virtual Server.

    Cluster Server likewise includes fire Drill, which enables corporations to constantly check catastrophe recovery eventualities with out exposing construction functions to casual and downtime. the recent step-by means of-step wizard-pushed workflow simplifies the chore of configuring fire Drill, records replication, and inordinate availability/disaster recovery options for change, SQL Server, Oracle, and other functions. It likewise reduces casual to the commerce with the aid of preemptively and proactively picking out odds configuration concerns earlier than they ensue by using monitoring any configuration proceed with the stream among cluster nodes.

    For mission-essential functions that require coordination of application clustering and faraway facts coverage, the Veritas extent Replicator (VVR) selection has added the capacity to coordinate snapshots at each the fundamental and/or a faraway secondary dwelling for consistent backup or disk-based mostly catastrophe restoration options. moreover, with the brand recent bunker replication feature of the VVR alternative, organisations can opt for an information replication manner of replicating information over any distance with out losing a single transaction—a restoration aspect purpose of zero over any distance. Symantec is the handiest enterprise proposing this degree of insurance policy for heterogeneous server and storage environments.

    About Symantec

    Symantec is a global chief in infrastructure utility, enabling businesses and buyers to believe in a related world. The enterprise helps consumers protect their infrastructure, guidance, and interactions by route of delivering application and services that wield dangers to security, availability, compliance, and performance. Headquartered in Cupertino, Calif., Symantec has operations in 40 nations. greater counsel is available at www.symantec.com .

    ###

    observe TO EDITORS: if you would dote more information on Symantec enterprise and its items, gratify visit the Symantec advice elbowroom at http://www.symantec.com/news . each and every prices celebrated are in U.S. bucks and are legitimate only within the u.s..

    Symantec and the Symantec brand are logos or registered emblems of Symantec service provider or its associates within the U.S. and different nations. other names may breathe trademarks of their respective homeowners.

    Contact:

    Debbie Sassine

    Symantec

    +sixty one 2 8879 1110

    Debbie_sassine@symantec.com

    Angela Coombes

    Max Australia

    +sixty one 2 9954 3492

    Angela.coombes@maxaustralia.com.au


    ST0-248 Symantec Storage Foundation 6.1 for UNIX Technical Assessment

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    ST0-248 exam Dumps Source : Symantec Storage Foundation 6.1 for UNIX Technical Assessment

    Test Code : ST0-248
    Test designation : Symantec Storage Foundation 6.1 for UNIX Technical Assessment
    Vendor designation : Symantec
    : 345 existent Questions

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    Justify CMDB ROI with these strategies | killexams.com existent questions and Pass4sure dumps

    Editor's note: This story, originally published Dec. 12, 2007, was updated for clarity on May 12, 2017.

    Change is a constant in data centers -- and a constant problem, at that. Change one thing on a server here and something may demolish on a server there, often in surprising ways.

    Configuration management databases (CMDBs) covenant to compose faultfinding configuration dependencies more obvious, lay the foundation for methodical change and eradicate unpleasant surprises caused by changes to the IT estate.

    But data seat managers face a tough prospect when making the commerce case for a CMDB implementation: The true value of CMDBs and other initiatives designed to better IT service management -- such as the IT Infrastructure Library (ITIL) -- strain traditional revert on investment (ROI) calculations. In the pains to gain approval for a CMDB implementation, IT managers occupy three basic strategic approach options.

  • Short-term CMDB ROI: Fix immediate problems, such as having too many servers, to relent cost savings.
  • Midterm CMDB ROI. Improve overall service delivery via configuration control.
  • Long-term CMDB ROI. Ensure IT alignment with commerce goals via optimal management. This approach necessitates a CMDB or similar tooling to breathe combined with associated processes.
  • CMDB ROI challenges emanate from the very nature of a CMDB itself. In essence, a CMDB is just a repository of data about stuff -- in ITIL parlance, configuration items (CIs) -- on the network and in the environment. As a storehouse of information, a CMDB will pay off only when the information within one is both accurate and actionable. Consequently, without associated tools, such as discovery, inventory and application dependency mapping technologies that enable data seat teams to monitor the environments in existent time or proximate to it, the value of a CMDB is limited.

    "There's a whole ecosystem of technologies that organizations requisite to leverage other than just configuration tools," said Dennis Drogseth, a vice president and senior analyst at Enterprise Management Associates (EMA), an analyst and consulting firm.

    In many cases, an organization will already occupy several of these tools, such as asset management software or inventory and discovery systems. A CMDB links islands of data together and provides organizations with a universal view of a data seat environment.

    However, there is a potential pitfall to CMDB implementations: Organizations struggle to articulate the ROI on the time, money and pains needed to evade the project and maintain accurate CMDB data.

    One of the mammoth benefits of [CMDBs] is revert on avoided outages, but that's tough to calculate. Jay Longformer manager of IT service management, Forsythe Technology

    To compose CMDB ROI apparent, IT teams must develop process standards for change management. Combined with the discipline of change management, a CMDB supports improvements in IT service delivery, which can generate cost savings.

    All told, a large enterprise may occupy to disburse several million dollars and up to three years to win a CMDB fully functional, according to EMA.

    "Determining an ROI around CMDBs and ITIL is difficult because we're talking about productivity gains," said Jay Long, former manager of IT service management at Forsythe Technology Inc., an IT consulting company based in Chicago. "One of the mammoth benefits of [CMDBs] is revert on avoided outages, but that's tough to cipher because there's no empirical evidence available." 

    CMDB ROI: Where you can save 

    IT managers who occupy deployed CMDBs cite several additional areas of savings, from the capacity to reduce or eradicate servers and other hardware to better license and maintenance constrict management, as well as labor savings and tighter outsourcing agreement oversight.

    Server reduction. By storing centralized information about CIs -- from servers to license information to network devices -- a CMDB can provide insight into the entire IT environment. That insight can inform decisions that lead to more efficient operations. Perhaps only 75% of servers are used at elevated capacity, for example.

    By having a centralized CMDB that points to utilization rates for each and every servers, an organization can institute a universal route of tracking and documenting assets. In that case, a company can either consolidate servers using virtualization or ditch underutilized machines, both of which reclaim money.

    "Companies can discern the ROI from virtualization because servers are pulled off of the data seat floor," said Mike Tainter, senior principal advisor at Forsythe Technology. 

    Licensing and maintenance savings. Software licenses and maintenance contracts are likewise issues that organizations can streamline based on information collected in a CMDB. Companies that track their licenses and know where they are installed may learn that they own twice as many licenses than are being used, and can nix the unnecessary software.

    "Many organizations buy maintenance contracts in a piecemeal fashion, so they expire at different times," Tainter said. "If you can negotiate coterminous contracts, you can win volume discounts."

    Outsourcing savings. For Simon Gilhooly, former global head of technical systems at Linklaters, a London-based, multinational law firm, CMDB ROI has compass in the contour of reduced maintenance costs.

    "We exhaust their inventory information to manage their hardware maintenance outsourcing deals," Gilhooly said. "For servers that they are no longer using, they terminate the maintenance deals so they are not wasting money on them."

    At Linklaters, a CMDB from BMC Software Inc. was complemented with application dependency mapping software from Tideway Systems, which enabled the difficult to determine relationships among applications and CIs dispersed among four data centers worldwide. According to Gilhooly, the company's key judgement for implementing a CMDB and the associated infrastructure tools initially revolved around preserving Linklaters' investment in a disaster recovery (DR) plan.

    "One of the biggest challenges for disaster recovery is making positive that the procedure keeps up with changes to the infrastructure," Gilhooly said. "The CMDB can profit by highlighting change requests that occupy a potential repercussion on the DR plan."

    As for downtime-related savings, Gilhooly doesn't occupy precise figures, but believes, nonetheless, that the CMDB more than pays off.

    "Downtime cost is quite variable for us because lawyers can often travail around petite outages," Gilhooly said.

    However, based on some initial calculations, Gilhooly estimated that a complete outage affecting a single data seat would cost Linklaters about $715,000 per hour, while downtime for a single attorney would cost about $408 per hour.

    "Once the DR procedure is broken, the cost of repair would breathe quite high, so it's best not to win into that position," he added.

    Labor savings. Matt Giblin, former manager of the enterprise systems management team at Mercy Health Services, a 650-physician hospital system in Baltimore, implemented a CMDB from Altiris, which is now piece of Symantec.

    "The only focus was converting their profit desk from a homegrown system to Remedy," Giblin said. Remedy is profit desk software from BMC Software. "We wanted a centralized CMDB so that the profit desk could tie into it."

    Initially, charity Health used the CMDB to inventory the workstation environment. When the hospital undertook a data seat redesign, touching to an HP BladeSystem server architecture, Giblin opted to expand the CMDB to comprise server information.

    Mercy Health's CMDB server information encompasses patch management, inventory, provisioning, software delivery and constrict management.

    "In terms of server management, their costs are primarily in resource time and manpower," Giblin said.

    The CMDB includes information on the hospital's 100 physical servers, such as names of host bus adapters.

    "We don't occupy to proceed out and physically palpate the machines anymore," he added. "This takes their server management up a notch."

    And charity Health hasn't stopped with servers. The hospital uses its CMDB to track clinical assets, including outfit such as respirators and IV pumps.

    "These things are non-discoverable on the network, so they import the information into the CMDB from a third-party database," Giblin said.

    To facilitate the discovery process, charity Health is considering radio frequency identification chips or bar codes on the equipment. Needless to say, this is not how Altiris intended its CMDB to work, but it's a route for charity Health to derive more revert on its investment.

    The major CMDB payoff 

    CMDB instrument vendors, such as BMC, CA Technologies, Hewlett Packard Enterprise, IBM and Managed Objects, are often quick to note the operational savings that result from a CMDB, but the biggest benefits are much harder to quantify.

    "The existent value of CMDBs comes from service excellence and fostering a service-oriented culture," Long said. "Service resolution time, commerce alignment, customer satisfaction -- that's what we're talking about at the respite of the day."

    But the biggest CMDB ROI comes when organizations exhaust it to gain visibility into configuration information to compose better decisions about change management processes.

    From a purely operational perspective, Ronni Colville, a managing vice president in Gartner's IT operations management group, said that a view of CIs can result in improved risk assessment and root-cause analysis. In turn, those capabilities can result in more accountable change management processes and, ultimately, lead IT teams to manage commerce services.

    One of the best ways to frame the ROI argument (at least in terms near and dear to a financial analyst) is to spy at repair times, according to Drogseth.

    "The preeminent metric for financial types is reducing the stand for time to repair," Colville said.

    EMA's Drogseth described one company that quantified a CMDB in terms of downtime.

    "The company figured that it cost $1 million per minute of downtime," he said. They reduced downtime by 70% by getting a cohesive view of the environment and reconciling existing infrastructure.

    According to Drogseth, a 70% reduction in stand for time to repair or in downtime overall is not an extravagant goal for most organizations looking to better IT's operational performance, but getting to that point may require significant time and effort.

    "It may require months or more than a year of process and organizational planning, as well as technology adoption," he said. "Don't forget the core problem here is really the siloed nature of how IT professionals occupy typically used tools ... This is first and foremost a political problem."

    That said, however, Drogseth maintained that CMDBs enable most organizations to achieve significant benefits.

    "Getting a cohesive, non-redundant and integrated set of trusted sources to support service performance in a disciplined CMDB system can and should bear melodramatic value over time," he said.

    Still, most organizations don't occupy the extravagance of investing in a CMDB and implementing it purely on the faith that the instrument will lead to service management nirvana -- and thereby deliver a solid ROI. IT managers should spy carefully at the immediate, midterm and long-term benefits it can deliver and determine if there's enough there to build a case for a CMDB project.


    Industrial Convergence 2018-2023: 5G, IIoT, 3D Printing, mammoth Data, and Streaming IoT Data Analytics | killexams.com existent questions and Pass4sure dumps

    DUBLIN, July 13, 2018 /PRNewswire/ --

    The "Industrial Convergence: 5G, IIoT, 3D Printing, mammoth Data, and Streaming IoT Data Analytics 2018 - 2023" report has been added to ResearchAndMarkets.com's offering.

    Research and Markets Logo

    More

    The industrial sector is rapidly integrating Internet of Things (IoT) with other key technologies including 3D Printing, mammoth Data and Streaming Analytics. This convergence will occupy a profound sequel on industrial processes as well as create opportunities for product and service transformation. In some cases, entirely recent commerce models will result from integration with broadband wireless and cloud technologies as the as a service model transforms many existing products into services. Looking beyond command and control of machinery and processes, IoT data itself will become extremely valuable as an agent of change for product development as well as identification of supply gaps and realization of unmet demands.

    This research evaluates the status and prospects for 5G as well as supporting technologies such as Mobile Edge Computing. This research likewise evaluates IIoT technologies, companies, applications, services, and solutions. Report forecasts comprise overall global and regional IIoT outlook as well as IIoT by industry vertical, software, hardware, and services for the era 2018 to 2023.

    This research includes an examination of the 3D market from multiple facets including hardware manufacturers, service providers, application providers, software providers, raw material providers, and communities. The report likewise assesses the market repercussion and provides forecasts across each and every verticals globally and regionally for 2018 to 2023.

    This research likewise provides an in-depth assessment of the global mammoth Data market, including a study of the commerce case, application exhaust cases, vendor landscape, value chain analysis, case studies and a quantitative assessment of the industry with forecasting from 2017 to 2022.

    Finally, it evaluates the technologies, companies, and solutions for real-time IoT data processing and analytics. The report assesses challenges and opportunities associated with realizing commerce value from real-time analytics. The report provides detailed forecasts globally, regionally, and across industry verticals and solution categories for 2018 to 2023.

    Key Topics Covered

    5G Planning, Strategy, and Market for Next Generation Apps and Services

    1. Introduction1.1 5G Technologies1.2 Mobile Spectrum Evolution1.2.1 1G - 2G - 3G - 4G1.2.2 4G - 4.5G - 4.5G Pro - 4.9G - 5G1.3 5G Spectrum Options and Utilization via Low Bands, Mid Bands, and elevated Bands1.4 5G Ecosystem Architecture and Planning1.5 5G Ecosystem Planning: Societal vs. Technology Considerations

    2. 5G Network Planning, Implementation, and Applications2.1 5G Network Planning and Strategic Considerations2.1.1 LTE Foundation, Device Ecosystem, LAA, and 5G Readiness2.1.2 Spectrum Sharing and Utilization2.1.3 Narrowband 5G for Massive IoT2.1.4 Multi Connectivity Architecture with petite Cell Deployment2.1.5 Relevance of Mobile IoT Technology: NB-IoT & eMTC2.1.6 OSS/BSS Architecture for 5G Service Operation2.1.7 Multi-Antenna and Beamforming Impact2.1.8 respite to respite Network Slicing with NFV and SDN2.1.9 LTE Continuation in 5G Era2.1.10 Service Design, ROI and 5G Network2.2 5G Technology Requirements and Network Impact2.2.1 Network Coverage and Efficiency2.2.2 Network Spectrum Efficiency2.2.3 Data Throughput2.2.4 Connection Density2.2.5 UR-LLC (Ultra-Reliable Low Latency Communication)2.2.6 Network Energy Usage2.2.7 Improved Battery Life2.2.8 Improved Flexibility in Air Interface and Versatility2.2.9 Massive MIMO2.2.10 mmWave Technology2.2.11 Integration of Access and Backhaul2.2.12 D2D Communication2.2.13 springy Duplex: FDD and TDD2.2.14 Multi-Antenna Transmission Scenario2.2.15 Decoupling User Data from Control System2.3 5G Technology and Network Architecture2.3.1 Massive MIMO and Beamforming2.3.2 Cloud RAN2.3.3 Broadband Spectrum and Satellite2.3.4 5G recent Radio (NR)2.3.5 Software Defined Air Interface2.3.6 Network role Virtualization (NFV)2.3.7 Self Organizing Network (SON) and Self-Healing Network (SHN)2.3.8 HetNet and H-CRAN2.3.9 Large-Scale Cooperative Spatial Signal Processing (LS-CSSP)2.3.10 Software Defined Radio (SDR)2.3.11 Visible Light Communications (VLCs)2.3.12 Cross Layer Controller2.3.13 Cognitive Radios (CRs) and Transmission Technologies2.3.14 Scalable OFDM and Subcarrier Spacing2.4 5G Network Implementation2.4.1 groundwork Stations2.4.2 petite Cells2.4.3 Macro Cells2.4.4 Baseband Units and RF Units2.4.5 Mobile Core2.4.6 Remote Radio Heads2.4.7 Front-haul and Backhaul Networks2.5 Strategic Relevance of 4.5G, 4.5G Pro, and 4.9G2.5.1 Mobile IoT and M2M Communication2.5.2 Broadcast Services and Immersive Entertainment2.5.3 Vehicular Communication2.5.4 Public Safety Network 12.5.5 Smart City Applications2.5.6 Private Enterprise Network

    3. 5G Initiatives, R&D, and bailiwick Trials3.1 5G Strategic Initiatives in Region3.1.1 Asia3.1.1.1 China3.1.1.1.1 IMT-2020 Promotion Group3.1.1.1.2 China National Key Project on 5G3.1.1.2 South Korea3.1.1.3 Japan3.1.2 Europe3.1.2.1 European Union Framework Project 7 (FP7)3.1.2.2 European Union Framework Project 8 (FP8) /Horizon 20203.1.2.3 Celtic Plus3.1.2.4 EIT and Other projects3.1.3 America3.2 5G Standardization Initiatives and Development3.2.1 3GPP3.2.2 5G Americas3.2.3 ATIS3.2.4 GSMA3.2.5 IEEE3.2.6 ITU3.2.7 NGMN3.2.8 TIA3.2.9 FCC TAC3.3 5G visitation by Mobile Operators3.4 5G Spectrum Aspects3.4.1 WRC - 15 and 193.4.2 FCC3.4.3 5G Americas3.4.4 CITEL3.4.5 ITU3.4.6 GSMA3.4.7 GSA

    4. Market Outlook and Forecasts for Next Generation 5G Apps4.1 5G Industrial Automation Global Forecasts 2020 - 20254.1.1 IIoT 5G Automation Market Value4.1.1.1 Market by Segment4.1.1.1.1 Hardware and outfit Market by Types of Device4.1.1.2 Market by Industry Verticals4.1.1.3 Market by Technology Application4.1.2 Wireless IIoT 5G Device Deployments4.1.2.1 Deployment by Device Type4.1.2.2 Deployment by Industry Vertical4.2 5G Industrial Automation Regional Forecasts 2020 - 20254.2.1 Market Value by Region4.2.2 Market Value by Leading Countries4.2.3 Deployment by Region4.2.4 Deployment by Leading Countries4.2.5 Europe Market Forecasts4.2.5.1 Market Value by Segment, Devices, Industry Vertical, and Technology Application4.2.5.2 Deployment groundwork by Devices and Industry Vertical4.2.6 North America Market Forecasts4.2.6.1 Market Value by Segment, Devices, Industry perpendicular and Technology Application4.2.6.2 Deployment groundwork by Devices and Industry Vertical4.2.7 APAC Market Forecasts4.2.7.1 Market Value by Segment, Devices, Industry perpendicular and Technology Application4.2.7.2 Deployment groundwork by Devices and Industry Vertical4.3 5G Robotics Global Market Revenue4.3.1 Autonomous Robot Market4.3.2 5G Enabled Autonomous Robot Market4.3.3 5G Enabled Autonomous Robot Market by Categories4.4 5G Robotics Regional Forecasts4.4.1 5G Enabled Autonomous Robot by Region4.4.2 North America 5G Enabled Autonomous Robot Market by Categories4.4.3 Europe 5G Enabled Autonomous Robot Market by Categories4.4.4 APAC 5G Enabled Autonomous Robot Market by Categories4.5 Global 5G Enabled Virtual Reality Market4.5.1 Combined Market Revenue 2021 - 20264.5.2 Combined Unit Shipment 2021 - 20264.5.3 Combined vigorous User 2021 - 20264.6 5G Accelerated VR Uptake Market4.6.1 Market by Segments 2021 - 20264.6.1.1 Hardware Market4.6.1.1.1 replete Feature Device including Haptic and Eyewear Devices4.6.1.1.2 Hardware Components including Haptic Sensors and Semiconductor Components4.6.1.2 Software and Application Market4.6.1.3 Professional Service Market 24.6.2 VR Shipment Units 2021 - 20264.6.3 VR vigorous Users 2021 - 20264.6.4 5G VR Market by Region 2021 - 20264.6.4.1 North America Market4.6.4.2 APAC Market4.6.4.3 Europe Market4.6.5 5G Consumer VR Application Market 2021 - 20264.6.6 Gaming4.6.6.1 Pokemon proceed Market Learning4.6.7 Live Events4.6.8 Video Entertainment4.7 5G VR Enterprise Application Market 2021 - 20264.7.1 Retail Sector4.7.2 existent Estate4.7.3 Healthcare4.7.4 Education4.8 5G VR Industrial Application Market 2021 - 20264.8.1 Military4.8.2 Engineering4.8.3 Civil Aviation4.8.4 Medical Industry4.8.5 Agriculture4.8.6 Government and Public Sector

    5. Conclusions and Recommendations

    Industrial Internet of Things (IIoT) Technologies, Solutions, and Services 2018 - 20231 Introduction1.1 Scope of Research1.2 Target Audience1.3 Key Findings in Report1.4 Companies in Report

    2 Executive Summary2.1 IIoT Markets by Region 2018 - 20232.2 IIoT Global Markets by Products 2018 - 2023

    3 Overview3.1 Defining Industrial Internet of Things3.1.1 People, Processes, and Technology3.1.2 IIoT and People3.1.3 IIoT and Processes3.1.4 IIoT and Technologies3.2 faultfinding Focal Areas for IIoT Execution3.3 IIoT Application Areas3.3.1 Process Optimization3.3.2 Enhance, Integrate and Scale existing Corporate IT Systems3.3.3 Leverage Potential of Existing Infrastructure3.4 Forming a Foundation for IIoT3.4.1 Industrial Internet Consortium3.4.2 Industry Leading Companies set the Pace3.4.3 Industry Test Beds for IIoT3.4.4 Industrial Internet Reference Architecture3.5 Evaluating the Future Potential of IIoT3.5.1 Cyber-security is a faultfinding Concern with IIoT3.5.2 IIoT is Facilitating a Drive in Industrial Automation3.5.3 Early IIoT Deployments to profit Existing Industries3.5.4 IIoT will travail in Collaboration to achieve Success3.5.5 IIoT and the Fourth Industry Revolution3.5.6 IIoT to Facilitate Transition to Smart Factories3.5.7 Connected Factory: recent Roles for Suppliers and Customers3.5.8 IIoT and Product Transformation to an as a Service Economy3.5.9 quick-witted Manufacturing: From Smart Factories to Smarter Factories3.5.10 Teleoperation and Tele-robotics3.5.11 IIoT and Fifth Generation (5G) Wireless

    4 IIoT Technologies4.1 Hardware Technologies4.1.1 Hardware development Platforms4.1.2 Smart Sensors4.2 Software Technologies4.2.1 Connectivity Platforms4.2.2 Data Storage Platforms4.2.3 Data Analytics and Visualization Platforms4.2.4 IoT Protocols4.2.4.1 ZigBee4.2.4.2 Message Queuing Telemetry Transport (MQTT)4.2.4.3 XMPP Accelerates IoT4.2.4.4 AMQP is Provides moneyed Capabilities for Distributed Systems4.2.4.5 DDS enables Network Interoperability in IoT4.2.4.6 Thread4.2.5 Next Generation existent Time Operating Systems (RTOS)4.3 IIoT and Manufacturing Execution Systems (MES)4.3.1 Role and significance with IIoT4.3.2 MES and Cyber-Physical Systems4.3.3 MES in the Cloud and other Convergence4.3.4 Future of IIoT Enabled MES4.4 Network Technologies in IIoT4.4.1 Wireless Local locality Network4.4.2 Wireless Personal locality Network4.4.3 Wireless Sensor Network

    5 IIoT Global Market Analysis and Forecasts 2018 - 20235.1 IIoT Markets by Region 2018 - 20235.2 IIoT Global Markets by Products Offered 2018 - 20235.2.1 IIoT in Hardware in 2018 - 20235.2.1.1 Connectivity platforms5.2.1.2 Sensor Infrastructures5.2.1.3 Hardware development Platforms5.2.2 IIoT in Software in 2018 - 20235.2.2.1 Data Storage5.2.2.2 Software development Platforms and Apps5.2.2.3 Data Analytics Platform5.2.2.4 Cyber-security Solutions5.2.3 IIoT in Services 2018 - 20235.2.3.1 Cloud based Services5.2.3.2 Management and Consulting Services5.3 IIoT Global Markets by Industry Sector 2018 - 20235.3.1 IIoT Deployments in Manufacturing Sector 2018 - 20235.3.2 Healthcare in IIoT 2018 - 20235.3.3 Automotive Industry in IIoT 2017 - 20025.3.4 Retail Industry in IIoT 2018 - 20235.3.5 Oil and Gas Industry in IIoT 2018 - 20235.3.6 IIoT in Cargo and Logistic Sector 2018 - 20235.3.7 IIoT in Utilities Sector 2018 - 20235.3.8 IIoT in Hospitality Sector 2018 - 20235.4 Market for Teleoperation and Tele-robotics in IIoT5.4.1 IIoT Teleoperation and Tele-robotics Solutions by Segment5.4.2 IIoT Teleoperation and Tele-robotics Solutions by Region5.4.3 IIoT Teleoperation and Tele-robotics Solutions by Tech and App5.4.4 IIoT Teleoperation and Tele-robotics Solution by Industry Vertical5.4.5 artificial Intelligence in IIoT Teleoperation and Tele-robotics Solutions

    6 Company Analysis6.1 AGT International6.2 ARM Holdings6.3 AT&T Inc.6.3.1 AT&T Machine to Machine Solutions6.3.2 AT&T M2X6.4 B+B SmartWorx6.5 Bayshore Networks6.6 Bosch6.6.1 Bosch Connected Devices and Solutions GmbH6.6.2 Bosch Software Innovations: Bosch IoT Suite6.7 Cisco System Inc.6.7.1 Cisco Industrial Networks6.7.2 Cisco Embedded Networks6.7.3 Management and Application Enablement6.7.4 Physical and Cyber Cyber-security6.7.5 Cisco IIoT Solutions6.8 Contiki6.9 Digi International6.10 Echelon Corporation6.10.1 Echelon's IzoT Platform6.11 Elecsys Corporation6.12 universal Electric6.12.1 GE Predicitvity Solution6.12.2 GE Predix Platform6.13 Jasper Technologies Inc. (Cisco)6.14 Lynx Software Technologies, Inc.6.15 protest Management Group (OMG)6.15.1 Data Distribution Service (DDS)6.15.2 Dependability Assurance Framework for Safety-Sensitive Consumer Devices6.15.3 Threat Modelling6.15.4 Structured Assurance Case Meta-model (SACM)6.15.5 Unified Component Model for Distributed, Real-Time and Embedded Systems (UCM)6.15.6 Automated Source Code CWE-SANS Top 25-Based Cyber-security Measure6.15.7 Oil and Gas Risk Management6.16 OneM2M Partners6.17 ParStream (Cisco)6.18 RIOT6.19 existent Time Innovation (RTI)6.19.1 RTI Connext DDS6.19.2 RTI Industrial IoT FastTrax Program6.20 Sensata Technologies6.21 Symantec6.22 Unisys Corporation6.23 Wind River6.24 Worldsensing6.25 Wovyn LLC

    3D Printing Market Outlook and Forecasts 2018 - 2023

    1 Introduction1.1 3D Printing or Additive Manufacturing1.2 Traditional Manufacturing vs. Additive Manufacturing1.3 3D Printing Process1.4 3D Printing commerce Benefits1.4.1 Creation of knotty Design1.4.2 elevated smooth of Customization1.4.3 hold Fixed Costs Low following single instrument Process1.4.4 Prototyping Process Much Faster and enlarge Time of Market1.4.5 profit Businesses Reduce Waste1.4.6 Enterprise Usage Benefits1.5 3D Printing commerce Drivers1.5.1 Personalization in Manufacturing1.5.2 Collaborative Design and Development1.5.3 Sustainability in Manufacturing Process1.6 3D Printing SWOT Analysis1.6.1 Strengths and Opportunities1.6.2 Weakness and Threats1.7 3D Printing Investment Trend Analysis1.7.1 Regional Investment Trend1.7.2 Corporate Investment Trend1.7.3 Government Investment Trend1.7.4 Emerging Investment Opportunity1.7.5 3D Printing Risk Exposure Analysis1.7.6 Merger and Acquisition Analysis1.7.7 Industry Funding Analysis1.8 Patent Analysis

    2 Technology and Market Analysis2.1 3D Printing Technology2.1.1 Powder Bed Fusion2.1.2 Fused Deposition Modelling2.1.3 Stereo Lithography2.1.4 Jetting Technology2.1.5 Digital Light Processing2.1.6 Continuous Liquid Interface Production2.1.7 Fusion Jet2.1.8 Selective Deposition Lamination2.1.9 Laminated protest Manufacturing2.1.10 Fused Filament Fabrication2.1.11 Inkjet Printing2.1.12 Laser Metal Deposition2.2 Industrial vs. Desktop 3D Printer2.3 3D Printer Pricing and Order Value Analysis2.4 3D Printing Raw Material2.4.1 Polymer2.4.2 Metals and Alloy2.4.3 Ceramics2.4.4 Other Materials2.5 3D Printing Software and Service2.5.1 Embedded AI Software2.6 3D Printing Online Service2.7 3D Printing Commercial vs. Personal Use

    3 Ecosystem and Value Chain Analysis3.1 3D Printing Value Chain and Elements3.1.1 Multi-material vs. Mesostructure Material3.2 Emerging 3D Printing Ecosystem3.2.1 protest Distribution3.2.2 Printer Control Systems3.2.3 Printer Access Networks3.2.4 IoT and artificial Intelligence3.3 3D Printing Competitive Landscape3.3.1 3D Printer Manufacturers3.3.2 3D Printing Service Providers3.3.3 3D Printing Marketplace Providers3.3.4 3D Printing Application Providers3.3.5 3D Scanner Manufacturers3.3.6 3D Printing CAD Software Providers3.3.7 3D Printing Raw Material providers3.3.8 3D Printing Network Providers3.3.9 3D Printing Communities3.4 3D Printing Vendor Market Share

    4 Applications, exhaust Cases, and Market Outlook4.1 3D Printing Application4.2 3D Printing Process4.3 3D Printing respite User Industry4.4 3D Printing exhaust Case4.4.1 Power, Energy, and Engineering Sector4.4.2 Automotive Sector4.4.3 Consumer, Retail, and fashion Sector4.5 3D Printing Future Market4.5.1 Accelerate Industry 4.04.5.2 Multi-Material and Cheaper 3D Printer4.5.3 3D Community Modeling4.5.4 3D PrinTable Consumer Things

    5 3D Printing Market Analysis and Forecasts5.1 Global 3D Printing Market Forecasts 2018 - 20235.1.1 Combined 3D Printing Market5.1.2 3D Printing Market by Segment5.1.3 3D Printing Market by Technology5.1.4 3D Printing Market by Use5.1.5 3D Printing Market by Application Type5.1.6 3D Printing Market by Process Type5.1.7 3D Printing Market by Industry Vertical5.2 Regional 3D Printing Market Forecasts 2018 - 20235.2.1 3D Printing Market by Region5.2.2 North America 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, sort of Use, Application Type, Process Type, Industry Vertical, and Leading Countries5.2.3 Europe 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, sort of Use, Application Type, Process Type, Industry Vertical, and Leading Countries5.2.4 APAC 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, sort of Use, Application Type, Process Type, Industry Vertical, and Leading Countries5.2.5 MEA 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, sort of Use, Application Type, Process Type, Industry Vertical, and Leading Countries5.2.6 Latin America 3D Printing Market by Hardware, Raw Material, Embedded AI Software, Service, Online Printing Service, Connectivity Technology, Printing Technology, sort of Use, Application Type, Process Type, Industry Vertical, and Leading Countries5.3 3D Printer Unit Shipment Forecasts 2018 - 20235.3.1 Combined 3D Printer Unit Shipment5.3.2 3D Printer Unit Shipment by Printer Type5.3.3 3D Printer Unit Shipment by Use5.3.4 3D Printer Unit Shipment by Industry Vertical5.3.5 3D Printer Unit Shipment by Region5.4 3D Printing Raw Materials Supply Forecasts 2018 - 20235.4.1 Combined 3D Printing Raw Material Supply5.4.2 3D Printing Raw Material Supply by Type5.4.3 3D Printing Raw Material Supply by Form5.4.4 3D Printing Raw Material Supply by Printer Type5.4.5 3D Printing Raw Material Supply by Industry Vertical5.4.6 3D Printing Raw Material Supply by Region

    6 Company and Solution Analysis6.1 3D Systems Inc.6.2 Arcam AB6.3 Stratasys Ltd.6.4 Autodesk Inc.6.5 Hoganas AB6.6 Organovo Holdings Inc.6.7 MCOR Technologies Ltd6.8 Voxeljet AG6.9 EnvisionTEC Inc.6.10 EOS GmbH Electro Optical Systems6.11 ExOne Company6.12 Ultimaker BV6.13 Concept Laser GmbH6.14 Canon Inc.6.15 Dassault Systemes6.16 GE Additive6.17 Hewlett-Packard development Company L.P.6.18 Optomec Inc.6.19 SLM Solutions Group AG6.20 Solidscape Inc.

    7 Conclusions and Recommendations7.1 3D Printer and Material Providers7.2 artificial Intelligence Providers7.3 Broadband Infrastructure Providers7.4 Communication Service Providers7.5 Computing Companies7.6 Data Analytics Providers7.7 Networking outfit Providers7.8 Networking Security Providers7.9 Semiconductor Companies7.10 IoT Suppliers and Service Providers7.11 Software and Platform Providers7.12 Automotive Companies

    The mammoth Data Market: commerce Case, Market Analysis and Forecasts 2018 - 2023

    1 Executive Summary

    2 Introduction2.1 mammoth Data Overview2.1.1 Defining mammoth Data2.1.2 mammoth Data Ecosystem2.1.3 Key Characteristics of mammoth Data2.2 Research Background2.2.1 Scope2.2.2 Coverage2.2.3 Company Focus

    3 mammoth Data Challenges and Opportunities3.1 Securing mammoth Data Infrastructure3.1.1 mammoth Data Infrastructure3.1.2 Infrastructure Challenges3.1.3 mammoth Data Infrastructure Opportunities3.2 Unstructured Data and the Internet of Things3.2.1 recent Protocols, Platforms, Streaming and Parsing, Software and Analytical Tools3.2.2 mammoth Data in IoT will require Lightweight Data Interchange Format3.2.3 mammoth Data in IoT will exhaust Lightweight Protocols3.2.4 mammoth Data in IoT will requisite Protocol for Network Interoperability3.2.5 mammoth Data in IoT Demands Data Processing on arrogate Scale

    4 mammoth Data Technology and commerce Case4.1 mammoth Data Technology4.1.1 Hadoop4.1.2 NoSQL4.1.3 MPP Databases4.1.4 Others and Emerging Technologies4.2 Emerging Technologies,Tools, and Techniques4.2.1 Streaming Analytics4.2.2 Cloud Technology4.2.3 Google Search4.2.4 Customize Analytical Tools4.2.5 Internet Keywords4.2.6 Gamification4.3 mammoth Data Roadmap4.4 Market Drivers4.4.1 Data Volume & Variety4.4.2 Increasing Adoption of mammoth Data by Enterprises and Telecom4.4.3 Maturation of mammoth Data Software4.4.4 Continued Investments in mammoth Data by Web Giants4.4.5 commerce Drivers4.5 Market Barriers4.5.1 Privacy and Security: The Big' Barrier4.5.2 Workforce Re-skilling and Organizational Resistance4.5.3 lack of lucid mammoth Data Strategies4.5.4 Technical Challenges: Scalability & Maintenance4.5.5 mammoth Data development Expertise

    5 Key Sectors for mammoth Data5.1 Industrial Internet and Machine-to-Machine5.1.1 mammoth Data in M2M5.1.2 perpendicular Opportunities5.2 Retail and Hospitality5.2.1 Improving Accuracy of Forecasts and Stock Management5.2.2 Determining Buying Patterns5.2.3 Hospitality exhaust Cases5.2.4 Personalized Marketing5.3 Media5.3.1 sociable Media5.3.2 sociable Gaming Analytics5.3.3 Usage of sociable Media Analytics by Other Verticals5.3.4 Internet Keyword Search5.4 Utilities5.4.1 Analysis of Operational Data5.4.2 Application Areas for the Future5.5 financial Services5.5.1 Fraud Analysis, Mitigation & Risk Profiling5.5.2 Merchant-Funded Reward Programs5.5.3 Customer Segmentation5.5.4 Customer Retention & Personalized Product Offering5.5.5 Insurance Companies5.6 Healthcare and Pharmaceutical5.6.1 Drug Development5.6.2 Medical Data Analytics5.6.3 Case Study: Identifying Heartbeat Patterns5.7 Telecommunications5.7.1 Telco Analytics: Customer/Usage Profiling and Service Optimization5.7.2 mammoth Data Analytic Tools5.7.3 Speech Analytics5.7.4 recent Products and Services5.8 Government and Homeland Security5.8.1 mammoth Data Research5.8.2 Statistical Analysis5.8.3 Language Translation5.8.4 Developing recent Applications for the Public5.8.5 Tracking Crime5.8.6 Intelligence Gathering5.8.7 Fraud Detection and Revenue Generation5.9 Other Sectors5.9.1 Aviation5.9.2 Transportation and Logistics: Optimizing Fleet Usage5.9.3 Real-Time Processing of Sports Statistics5.9.4 Education5.9.5 Manufacturing

    6 The mammoth Data Value Chain6.1 Fragmentation in the mammoth Data Value6.2 Data Acquisitioning and Provisioning6.3 Data Warehousing and commerce Intelligence6.4 Analytics and Visualization6.5 Actioning and commerce Process Management6.6 Data Governance

    7 mammoth Data Analytics7.1 The Role and significance of mammoth Data Analytics7.2 mammoth Data Analytics Processes7.3 Reactive vs. Proactive Analytics7.4 Technology and Implementation Approaches7.4.1 Grid Computing7.4.2 In-Database processing7.4.3 In-Memory Analytics7.4.4 Data Mining7.4.5 Predictive Analytics7.4.6 Natural Language Processing7.4.7 Text Analytics7.4.8 Visual Analytics7.4.9 Association Rule Learning7.4.10Classification Tree Analysis7.4.11Machine Learning7.4.12Neural Networks7.4.13Multilayer Perceptron (MLP)7.4.14Radial Basis Functions7.4.15Geospatial Predictive Modelling7.4.16Regression Analysis7.4.17Social Network Analysis

    8 Standardization and Regulatory Initiatives8.1 Cloud Standards Customer Council8.2 National Institute of Standards and Technology8.3 OASIS8.4 Open Data Foundation8.5 Open Data seat Alliance8.6 Cloud Security Alliance8.7 International Telecommunications Union8.8 International Organization for Standardization

    9 Global Markets and Forecasts for mammoth Data9.1 Global mammoth Data Markets 2018 - 20239.2 Regional Markets for mammoth Data 2018 - 20239.3 Leading Countries in mammoth Data9.3.1 United States9.3.2 China9.4 mammoth Data Revenue by Product Segment 2018 - 20239.4.1 Database Management Systems9.4.2 mammoth Data Integration Tools9.4.3 Application Infrastructure and Middleware9.4.4 commerce Intelligence Tools and Analytics Platforms9.4.5 mammoth Data in Professional Services

    10 Key mammoth Data Players10.1 Vendor Assessment Matrix10.2 1010Data (Advance Communication Corp.)10.3 Accenture10.4 Actian Corporation10.5 Alteryx10.6 Amazon10.7 Anova Data10.8 Apache Software Foundation10.9 APTEAN (Formerly CDC Software)10.10 Booz Allen Hamilton10.11 Bosch Software Innovations: Bosch IoT Suite10.12 Capgemini10.13 Cisco Systems10.14 Cloudera10.15 CRAY Inc.10.16 Computer Science Corporation (CSC)10.17 DataDirect Network10.18 Dell EMC10.19 Deloitte10.20 Facebook10.21 Fujitsu10.22 universal Electric (GE)10.23 GoodData Corporation10.24 Google10.25 Guavus10.26 HP Enterprise10.27 Hitachi Data Systems10.28 Hortonworks10.29 IBM10.30 Informatica10.31 Intel10.32 Jasper (Cisco Jasper)10.33 Juniper Networks10.34 Longview10.35 Marklogic10.36 Microsoft10.37 Microstrategy10.38 MongoDB (Formerly 10Gen)10.39 MU Sigma10.40 Netapp10.41 NTT Data10.42 Open Text (Actuate Corporation)10.43 Opera Solutions10.44 Oracle10.45 Pentaho (Hitachi)10.46 Qlik Tech10.47 Quantum10.48 Rackspace10.49 Revolution Analytics10.50 Salesforce10.51 SAP10.52 SAS Institute10.53 Sisense10.54 Software AG/Terracotta10.55 Splunk10.56 Sqrrl10.57 Supermicro10.58 Tableau Software10.59 Tata Consultancy Services10.60 Teradata10.61 account mammoth Analytics10.62 TIBCO10.63 Verint Systems10.64 VMware (Part of EMC)10.65 Wipro10.66 Workday (Platfora)

    11 Appendix: mammoth Data support of Streaming IoT Data11.1 mammoth Data Technology Market Outlook for Streaming IoT Data11.1.1 IoT Data Management is a Ubiquitous opportunity across Enterprise11.1.2 IoT Data becomes a mammoth Data Revenue Opportunity11.1.3 Real-time Streaming IoT Data Analytics becoming a Substantial commerce Opportunity11.2 Global Streaming IoT Data Analytics Revenue11.2.1 Overall Streaming Data Analytics Revenue for IoT11.2.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services11.2.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals11.3 Regional Streaming IoT Data Analytics Revenue11.3.1 Revenue in Region11.3.2 APAC Market Revenue11.3.3 Europe Market Revenue11.3.4 North America Market Revenue11.3.5 Latin America Market Revenue11.3.6 ME&A Market Revenue11.4 Streaming IoT Data Analytics Revenue by Country11.4.1 Revenue by APAC Countries11.4.2 Revenue by Europe Countries11.4.3 Revenue by North America Countries11.4.4 Revenue by Latin America Countries11.4.5 Revenue by ME&A Countries

    Streaming IoT Data Market Outlook and Forecasts 2018 - 2023

    1 Introduction1.1 Research Background1.2 Research Scope1.3 Target Audience1.4 Companies Covered

    2 Executive Summary

    3 Overview3.1 Understanding IoT Data3.1.1 IoT Data vs. other Unstructured Data3.1.2 Key IoT Data Characteristics3.1.2.1 IoT Data is existent Time3.1.2.2 Massive Volumes of IoT Data3.1.2.3 IoT Data Generates Useful Insights3.2 IoT Data Management Operations3.2.1 Basic Data Implementation and Operational Challenges3.2.1.1 IoT Data Scalability3.2.1.2 IoT Data Integration3.2.2 Data Management and Processing Raw Data3.2.3 Centralized Storage and Decentralized Processing3.2.4 Accessing and Exchanging IoT Data via APIs3.2.5 Data Security and Personal Information Privacy3.4 Market Outlook for IoT Data Analytics3.4.1 IoT Data Management is a Ubiquitous opportunity across Enterprise3.4.2 IoT Data becomes a mammoth Revenue Opportunity3.4.3 Organizations increasing Adopt Predictive Analytics with IoT Data3.5 Real-time Streaming IoT Data Analytics becoming a Substantial commerce Opportunity

    4 Vendor Analysis4.1 Accenture4.2 AGT International4.3 Bosch Software Innovations4.4 Capgemini4.5 Cisco Systems, Inc.4.6 GE Digital4.7 Google4.8 Intel Corporation4.9 Lynx Software Technologies, Inc.4.10 Maana, Inc.4.11 Microsoft Corporation4.12 MongoDB Inc.4.13 ParStream (Cisco)4.14 PTC4.15 RIOT4.16 SAP SE4.17 SQLstream, Inc.4.18 Tellient4.19 Teradata Corporation4.20 Wind River

    5 Streaming IoT Data Analytics Revenue 2018 - 20235.1 Global Streaming Data Analytics Revenue for IoT5.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services5.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals5.3.1 Streaming IoT Data Analytics Revenue in Retail5.3.1.1 Streaming IoT Data Analytics Revenue by Retail Segment5.3.1.2 Streaming IoT Data Analytics Retail Revenue by App, Software, and Service5.3.2 Streaming IoT Data Analytics Revenue in Telecom and IT5.3.2.1 Streaming IoT Data Analytics Revenue by Telecom and IT Segment5.3.2.2 Streaming IoT Data Analytics Revenue by Telecom & IT App, Software, and Service5.3.3 Streaming IoT Data Analytics Revenue in Energy and Utility5.3.3.1 Streaming IoT Data Analytics Revenue by Energy and Utility Segment5.3.3.2 Streaming IoT Data Analytics Energy and Utilities Revenue by App, Software, and Service5.3.4 Streaming IoT Data Analytics Revenue in Government5.3.4.1 Streaming IoT Data Analytics Revenue by Government Segment5.3.4.2 Streaming IoT Data Analytics Government Revenue by App, Software, and Service5.3.5 Streaming IoT Data Analytics Revenue in Healthcare and Life Science5.3.5.1 Streaming IoT Data Analytics Revenue by Healthcare Segment5.3.6 Streaming IoT Data Analytics Revenue in Manufacturing5.3.6.1 Streaming IoT Data Analytics Revenue by Manufacturing Segment5.3.6.2 Streaming IoT Data Analytics Manufacturing Revenue by App, Software, and Service5.3.7 Streaming IoT Data Analytics Revenue in Transportation & Logistics5.3.7.1 Streaming IoT Data Analytics Revenue by Transportation & Logistics Segment5.3.7.2 Streaming IoT Data Analytics Transportation & Logistics Revenue by App, Software, and Service5.3.8 Streaming IoT Data Analytics Revenue in Banking and Finance5.3.8.1 Streaming IoT Data Analytics Revenue by Banking and Finance Segment5.3.8.2 Streaming IoT Data Analytics Revenue by Banking & Finance App, Software, and Service5.3.9 Streaming IoT Data Analytics Revenue in Smart Cities5.3.9.1 Streaming IoT Data Analytics Revenue by Smart City Segment5.3.9.2 Streaming IoT Data Analytics Revenue by Smart City App, Software, and Service5.3.10 Streaming IoT Data Analytics Revenue in Automotive5.3.10.1 Streaming IoT Data Analytics Revenue by Automobile Industry Segment5.3.10.2 Streaming IoT Data Analytics Revenue by Automotive Industry App, Software, and Service5.3.11 Streaming IoT Data Analytics Revenue in Education5.3.11.1 Streaming IoT Data Analytics Revenue by Education Industry Segment5.3.11.2 Streaming IoT Data Analytics Revenue by Education Industry App, Software, and Service5.3.12 Streaming IoT Data Analytics Revenue in Outsourcing Services5.3.12.1 Streaming IoT Data Analytics Revenue by Outsourcing Segment5.3.12.2 Streaming IoT Data Analytics Revenue by Outsourcing Industry App, Software, and Service5.4 Streaming IoT Data Analytics Revenue by Leading Vendor Platform5.4.1 Global Investment in IoT Data by Industry Sector 2018 - 2023

    6 Appendix6.1 Regional Streaming IoT Data Analytics Revenue 2018 - 20236.1.1 Revenue in Region6.1.2 APAC Market Revenue6.1.3 Europe Market Revenue6.1.4 North America Market Revenue6.1.5 Latin America Market Revenue6.1.6 ME&A Market Revenue6.2 Streaming IoT Data Analytics Revenue by Country 2018 - 20236.2.1 Revenue by APAC Countries6.2.1.1 Leading Countries6.2.1.2 Japan Market Revenue6.2.1.3 China Market Revenue6.2.1.4 India Market Revenue6.2.1.5 Australia Market Revenue6.2.2 Revenue by Europe Countries6.2.2.1 Leading Countries6.2.2.2 Germany Market Revenue6.2.2.3 UK Market Revenue6.2.2.4 France Market Revenue6.2.3 Revenue by North America Countries6.2.3.1 Leading Countries6.2.3.2 US Market Revenue6.2.3.3 Canada Market Revenue6.2.4 Revenue by Latin America Countries6.2.4.1 Leading Countries6.2.4.2 Brazil Market Revenue6.2.4.3 Mexico Market Revenue6.2.5 Revenue by ME&A Countries6.2.5.1 Leading Countries6.2.5.2 South Africa Market Revenue6.2.5.3 UAE Market Revenue

    Story Continues



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    References :


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