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ROCKSET: Design and Implementation of an information device for low latency queries for Search and Analytics | Real Questions and Pass4sure dumps

Dhruba Borthakur is co-founder and CTO at Rockset. Rockset builds utility for enabling information powered applications.

Dhruba changed into the founding engineer of the open supply RocksDB database at facebook and one of the vital founding engineers of the Hadoop File device at Yahoo Inc. Dhruba become an early contributor to the open source Apache HBase assignment. prior, he was a Senior Engineer at Veritas utility and become responsible for the development of VxFS and Veritas SanPointDirect Storage device. ahead of Veritas, he was the co-founder at, an e-commerce startup based mostly in Sunnyvale. before that, he become a Senior Engineer at IBM-Transarc Labs the place he contributed to the building of Andrew File device (AFS), part of IBM’s e-commerce initiative, WebSphere. Dhruba has an M.S. in laptop Science from the college of Wisconsin, Madison and a B.S. in laptop Science BITS, Pilani, India. He has 25 issued patents.

previous, he was a Senior Lead Engineer at Veritas software (now obtained by way of Symantec) and become chargeable for the design and construction of utility for the Veritas San File device. He turned into the team Lead for constructing the Mendocino continuous statistics insurance plan utility equipment at a startup named Mendocino application.earlier than Mendocino application, he was the chief Architect at, an e-commerce startup based mostly in Sunnyvale, California. previous, he changed into a Senior Engineer at IBM-Transarc Labs the place he was chargeable for the building of Andrew File gadget (AFS) which is a part of IBM’s e-commerce initiative WebSphere. in advance of his adventure within the united states, Dhruba developed name processing software for Digital Switching programs at C-DOT Delhi.

Dhruba has an M.S. in laptop Science from the tuition of Wisconsin, Madison and a B.S. in computer Science from the Birla Institute of know-how and Science (BITS), Pilani, India.

He has 9 issued patents and 12 patents pending.

Veritas Solidifies AWS accomplice community status, Attains AWS Storage Competency for Veritas NetBackup, Veritas Backup Exec | Real Questions and Pass4sure dumps

No effect discovered, are attempting new key phrase!SANTA CLARA, Calif., Feb. 6, 2019 /PRNewswire/ -- Veritas technologies, a world chief in commercial enterprise information coverage and utility-defined storage, announced that its flagship items, Veritas web...

statistics insurance policy Market is decided to touch US$ 158 Billion by 2024 | Real Questions and Pass4sure dumps

Feb 07, 2019 (Heraldkeeper by means of COMTEX) -- big apple, February 07, 2019: The statistics insurance policy Market is segmented on the lines of its component, Deployment mannequin, firm size, Vertical and regional. in accordance with part it covers answer and functions. in response to answer it covers information Backup and healing, data Archiving and Ediscovery, catastrophe recovery, Encryption, Tokenization, information Loss Prevention, identity and access management and Compliance management. in response to functions it covers skilled features and managed capabilities. in line with organization dimension it covers giant organisations and SMEs. according to deployment it covers Cloud and On-premises. in line with vertical it covers IT & Telecommunication, Media & leisure, Banking, financial services & coverage (BFSI), E-commerce, Retail & consumer items, Public Sector, Manufacturing & car, Healthcare & Pharmaceutical, travel & Hospitality and Others (training and electrical energy & Utility). The information insurance plan Market on geographic segmentation covers a variety of regions reminiscent of North the usa, Europe, Asia Pacific, Latin the usa, center East and Africa. each and every geographic market is extra segmented to deliver market salary for choose countries such because the U.S., Canada, U.okay. Germany, China, Japan, India, Brazil, and GCC countries.

The data insurance plan Market is anticipated to exceed greater than US$ 158 Billion by way of 2024 at a CAGR of 15% in the given forecast period.

Browse Full file: policy-market

statistics protection is the technique of conserving information and includes the connection between the assortment and dissemination of information and know-how, the general public notion and expectation of privacy and the political and criminal underpinnings surrounding that statistics. It goals to strike a steadiness between individual privateness rights while still allowing facts to be used for company purposes.

The scope of the report contains an in depth examine of facts protection Market with the reasons given for adaptations in the growth of the business in certain areas.

The facts coverage Market has been segmented as below:

The information insurance plan Market is segmented on the basis of part class, Vertical type, corporation dimension type, Deployment Mode classification and Regional evaluation.

via part Typethis market is segmented on the foundation ofSolutions, data Backup and recuperation, information Archiving and Ediscovery, disaster healing, Encryption, Tokenization, facts Loss Prevention, id and entry administration, Compliance administration, services, professional features, risk evaluation and Consulting services, Implementation and Integration features, guide and maintenance services, practising and education features and Managed functions. with the aid of Vertical Typethis market is segmented on the foundation ofGovernment and defense sector, Banking, monetary features, and insurance (BFSI) sector, Healthcare sector, IT and telecom sector, purchaser items and retail sector, training sector, Media and leisure sector, Manufacturing sector and Others (hospitality, transport and logistics, and energy and utilities).

by means of company dimension Typethis market is segmented on the foundation ofLarge organizations and SMEs. by means of Deployment Mode Typethis market is segmented on the foundation ofCloud and On-premises. through Regional Analysisthis market is segmented on the foundation ofNorth the us, Europe, Asia-Pacific and relaxation of the realm.

The report covers distinct competitive outlook including the market share and company profiles of the key participants working within the world market. Key avid gamers profiled within the record encompass IBM, HPE, Symantec, CA technologies, MacAfee, Oracle, Quest application, Netapp, Veeam and Acronis. company profile contains assign equivalent to company summary, monetary abstract, company method and planning, SWOT analysis and present tendencies.

This record provides:

1) an outline of the global marketplace for information coverage Market and related technologies.2) Analyses of international market developments, with records from 2015, estimates for 2016 and 2017, and projections of compound annual increase costs (CAGRs) via 2024.3) Identifications of new market alternatives and targeted promotional plans for facts protection Market

4) dialogue of analysis and development, and the demand for brand new products and new purposes.5) complete business profiles of fundamental avid gamers in the trade.

Request pattern document from right here: policy-market

desk of Contents

1. Introduction

2. file abstract

3. Market Overview

four. records insurance plan Market analysis, by means of component

5. information protection Market analysis, by way of corporation size

6. information coverage Market evaluation, by using Vertical

7. information coverage Market analysis, by means of Deployment Mode

8. information insurance plan Market evaluation, by region

9. competitive Overview

10. enterprise Profiles10.1 IBM10.2 HPE10.3 Symantec10.four CA Technologies10.5 Mcafee10.6 Oracle10.7 Quest Software10.8 Netapp10.9 Veeam10.10 Acronis

different linked Market analysis experiences:

DDoS coverage Market is decided to the touch USD$ 2.00 Billion via 2022

Digital Assurance Market dimension is Projected to be round US$ four Billion by way of 2023

Media Contact

business name: Market analysis Engine

Contact person: John Bay

e mail:

cell: +1-855-984-1862

nation: united states

web page:

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Data Protection Implementation for Windows using NetBackup

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Quest Joins Veeam Alliance Partner Program | real questions and Pass4sure dumps


Quest Software, a global systems management, data protection and security software provider, today announced its participation in the VeeamⓇ Alliance Partner Program. Additionally, Quest QoreStor, the company’s software-defined secondary storage platform with enterprise-class deduplication technology, has been verified as a Veeam Ready Repository. Using QoreStor, organizations can accelerate their Veeam backups by more than 300 percent, reduce backup storage requirements by more than 95 percent, and help customers more efficiently and safely leverage the cloud.

Most IT teams today are working with limited budgets while trying to keep up with the fast pace at which data is growing and the need to back up that information. Now with QoreStor, IT teams using Veeam Backup & Replication can speed up backups through protocol accelerators and significantly reduce storage through content-aware, variable block deduplication and compression. Companies can also shorten replication time and overcome inconsistent WAN connections, while leveraging the cloud for disaster recovery and archiving, through its resilient replication technology.

“With today’s growth in data, it is critically important to ensure all data is safely stored and backed up to not only meet regulatory requirements, but to ensure business continuity,” said Mark D’Apice, Executive Director of R&D and Product Management, Quest Data Protection. “With QoreStor, IT organizations can lower data protection costs and maximize ROI by leveraging practically any storage hardware, backup software, virtualization platform and cloud provider. Now verified for Veeam, it perfectly complements any Veeam environment and helps IT teams complete backups faster, reduce storage costs and replicate to the cloud in a quick and safe manner.”

As a software-defined secondary storage platform, QoreStor is simple to deploy and easy to manage, enabling organizations to shrink replication time, improve data security and address compliance requirements. QoreStor Rapid Data Access (RDA) drivers, installable on Veeam backup servers and Veeam backup proxies, features support for Windows and Linux that enable source side deduplication, encryption and WAN resiliency. A part of the all-inclusive QoreStor license, RDA is critical to a high performing Veeam QoreStor Repository implementation.

About Quest Software

Quest ( provides software solutions for the rapidly-changing world of enterprise IT that help simplify the challenges caused by data explosion, cloud expansion, hybrid datacenters, security threats and regulatory requirements. The company is a global provider to 130,000 companies across 100 countries, including 95% of the Fortune 500 and 90% of the Global 1000. Since 1987, Quest has built a portfolio of solutions which now includes database management, data protection, identity and access management, Microsoft platform management and unified endpoint management. With Quest, organizations spend less time on IT administration and more time on business innovation.

Preventing Data Breaches With App-Centric Security | real questions and Pass4sure dumps

The volume and sophistication of cyber attacks, along with extensive losses from successful exploits being covered in the media, have made security a top priority for IT leadership. No business wants to make the headlines because of a security breach.

Taking a look at the details that have surrounded the recent public breaches, there are some common themes.

One of the more prevalent themes is that the attacks were not directly on the data repositories. In most accounts, attackers found a single small weakness — a single unpatched server or remote IT service. This weakness allowed the attacker to set up a base of operations inside the target environment, establishing the first challenge: organizations have been using network segmentation and firewalls for many years. These techniques are very effective at the macro level, but once an attacker is inside those perimeters, those safeguards are rendered ineffective.

A Modern Approach Is Required

The reason perimeter defenses are ineffective is that there is little ability for such methods to restrict or police network traffic between applications or virtual machines (VM). So once an attacker is inside the perimeter, they can set up a base of operations and look for other targets — ones of higher value. This method of attack propagation is typically described as a lateral movement.

“The data economy renders today's network, perimeter-based security, useless. As businesses monetize information and insights across a complex business ecosystem, the idea of a corporate perimeter becomes quaint—even dangerous.” - Forrester

The obvious thought is: how do they restrict malicious lateral movement in the DC? One way is to keep making smaller and smaller perimeters — using more virtual networks (VLANs) or additional hardware firewalls. The problem with this approach is a combination of cost and complexity. Such an implementation requires more or larger security devices with fairly complex configurations. The approach would provide “better” security, but the cost would probably prohibit most organizations from considering the option.

Microsegmentation and Zero-Trust Model

For some time now, security experts have considered using microsegmentation, or a philosophy called the Zero-Trust model. Microsegmentation is essentially reducing security perimeters down to individual VMs. Zero Trust is a policy that only allows traffic that is required between applications and users. IT operators have had the base technology to implement microsegmentation for quite some time. Most server operating systems have shipped with built-in local firewalls that can be used to block traffic for many years.

This brings me to my next question: there is a known security model and the technology has existed for many years, yet why is it that most large enterprises have not implemented microsegmentation or adopted a Zero-Trust security model?

The answer is quite simple — and it consists of complexity in two major areas: policy management and policy creation. I'll start with management. Anyone that has tried to manage Windows firewalls with Microsoft Group Policy or any tool to manage iptables in Linux will tell you that it's a daunting task. Success here requires that rules be pushed consistently and with a guarantee of application. Adding in variations in functionality across OS versions or configurations makes this task much more complex.

Static Vs. Dynamic

The proliferation of virtualization combined with the rise in software-defined networking provides the tools required to minimize this burden. Network security policy is typically defined based on network endpoints and identifiers. Details like hardware address (MAC), a network address (IP), or VLAN ID are combined with application protocol information to describe network traffic to apply the policy to. The challenge with a policy written this way is that as applications become more distributed (on-prem + cloud + SaaS) or more dynamic (easy scale up or out); in which case, static identifiers are not desirable.

Virtualization can help resolve this conflict of security defined statically versus the desire to allow more automation as part of application management. The hypervisor is aware of all the virtual endpoint identification elements. It knows how many interfaces a VM has — along with the MAC and IP, and along with the virtual network connections. Based on this, it only makes sense to remove the need for manual enumeration and allow a more dynamic security policy that gets that information from the hypervisor and can adapt automatically should there be a change. Policy can thus be simplified to knowing basic details about the endpoint (e.g., which VMs are in the application) and the far less dynamic application protocol details (e.g., TCP port 443 for SSL-based web traffic).

Visibility and Understanding Are Key

The larger issue with policy is knowing how applications communicate. In older security models, firewall administrators would use a model called blacklisting. In this model, known “bad things” are restricted from the network. This list would be curated and updated based on security vulnerability reports or general IT best practice. In the Zero-Trust model, this concept is reversed and commonly called “whitelisting.” The policy should allow only required network traffic, which is the root of the problem — most operators don't have a solid idea of what that list of “good” traffic is. Though much more secure, this approach has a much higher risk of impacting application operation due to an improper blocking of necessary communication.

With the complex interactions between homegrown, third-party, and SaaS applications, understanding how each component communicates is a fairly large undertaking that must be constantly watched an updated. Again, this is an area where virtualization and SDN enable the creation of software to discover VMs and services that comprise an application.

The modern approach must provide operators the tools needed to discover and visualize applications along with their respective traffic patterns. With this level of detail, admins and operators have a solid foundation for understanding “good” traffic and creating a whitelist-based policy.

Tying It All Together

Attacks are on the rise, and traditional data center security methods are no longer sufficient to prevent or limit the impact of a data breach. Taking an application-centric approach can improve your security posture and help prevent your company from data breaches. See how to get started in the application-centric security eBook.


security ,data breach ,data ,microsegmentation ,application ,zero trust ,network security ,cyber attack ,virtualization ,firewall

Failover clustering in the Azure cloud: Understanding the options | real questions and Pass4sure dumps

Cloud access

A number of options are available for providing high availability protection for applications running in the Azure cloud. Some of these options are cloud-based services. Some are in the operating system or application software. And some are purpose-built by third-parties. The numerous permutations and combinations available can make it extraordinarily difficult to choose the best and most cost-effective solution for each application.

In general, failover clusters are the best option for assuring high availability. Historically, failover clusters were relatively easy to configure and test in the enterprise datacenter using shared storage and standard features built into Windows Server. But in the Azure and other public clouds, there is no shared storage. This creates a need to find other options for running mission-critical applications in a public or hybrid cloud environment. This article examines the options available for providing high availability (HA) for applications running within the Azure cloud. Special emphasis is given to SQL Server as a particularly popular application for Azure.

Options within the Azure Cloud

The Azure cloud offers redundancy within datacenters, within regions and across multiple regions. Within datacenters, redundancy is provided by Availability Sets that distribute servers across different Fault Domains in different racks to protect against failures at the rack level. Availability Sets afford redundancy for some hardware failures, but provide no redundancy for a datacenter-wide failure, such as the one that occurred in Azure’s South Central US Region in September 2018. Azure offers a 99.95 percent Service Level Agreement for Availability Sets, but the SLA defines downtime as when no server in the Availability Set has external connectivity.

For protection from single datacenter-wide failures, Azure is rolling out Availability Zones (AZs). Regions that support AZs have at least three datacenters that are networked with sufficiently high bandwidth and low latency to accommodate synchronous replication. Azure provides a 99.99 percent SLA for configurations using AZs, but again, the SLA only guarantees that at least one server will have external connectivity.

To protect against major disasters, Azure offers Region Pairs, where every region gets paired with another within the same geography, such as the US, Europe or Asia. The pairs are separated by at least 300 miles and are strategically chosen to enable rapid recovery during widespread network or power outages, or major natural disasters. Pairing also enables Microsoft to perform planned maintenance with minimal downtime .

While Azure certainly offers the infrastructure needed to deliver high service levels, it is incumbent upon the customer to leverage that infrastructure to ensure high availability at the application level.

Options in Windows Server and SQL Server

Windows Server Failover Clustering (WSFC) comes standard in the operating system. For this reason, many applications leverage this proven and powerful feature in high availability configurations in enterprise datacenters. But WSFC requires shared storage, and with no shared storage available in the Azure cloud, additional provisions are needed.

In the Datacenter edition of Windows Server 2016, Microsoft addressed this problem with the introduction of Storage Spaces Direct (S2D), which is software-defined storage that creates a virtual storage area network using locally-attached storage. S2D requires that the servers reside within a single datacenter, however, making it incompatible with Availability Zones. This makes S2D a viable choice only for a single-site HA configuration. More robust, multi-site HA/DR protection will require the use more flexible data replication and HA solutions.

Like many commercial and open source software offerings, SQL Server has two of its own HA/DR features: Failover Cluster Instances and Always On Availability Groups. The use of FCIs (available since SQL Server 7) affords two major advantages: it is available in SQL Server Standard Edition; and it protects the entire SQL Server instance, including system databases. A major disadvantage has been its need for cluster-aware shared storage, but that changed in SQL Server 2016 with its support for S2D.

Always On Availability Groups is SQL Server’s most capable offering for both HA and DR. This option can deliver a recovery time of 5-10 seconds and a recovery point of seconds or less. It also offers readable secondaries for querying the databases (with appropriate licensing), and places no restrictions on the size of the database or the number of secondary instances. Among its disadvantages are the need to license the more expensive Enterprise Edition, which is cost-prohibitive for many applications, and its lack of protection for the entire SQL instance.

A notable disadvantage with all application-specific options is the need for administrators to implement different HA and DR provisions for different applications. The use of multiple HA/DR solutions can substantially increase complexity and costs (for licensing, training, implementation and ongoing operations), making this another reason why organizations increasingly prefer using application-agnostic third-party solutions.

Third-party Failover Clustering Software

With its application- and platform-agnostic design, purpose-built failover clustering software can provide a complete HA/DR solution for virtually all Windows and Linux applications in private, public and hybrid cloud environments.

Being application-agnostic eliminates the need to have different HA/DR provisions for different applications. Being platform-agnostic makes it possible to leverage, while not depending on, various capabilities and services in the Azure cloud.

These complete solutions include, at a minimum, real-time data replication, continuous monitoring capable of detecting failures at the application level, and configurable policies for failover and failback. Most failover clusters are able to satisfy mission-critical recovery time and recovery point objectives, and most also offer a variety of value-added capabilities.

Here is a comparison of three HA/DR configurations commonly used in the Azure cloud.

Clustering with Confidence

All of these options, whether implemented individually or in various combinations, can have a role to play in making HA and DR protections more effective and affordable for the full spectrum of enterprise applications -- from those able to tolerate some data loss and downtime, to those that demand five-9’s of uptime with minimal or no data loss. Just be sure that the option(s) you choose provide protection at the application level for all foreseeable failure scenarios.

Image Credit: Chaiyapop Bhumiwat / Shutterstock

David Bermingham is Technical Evangelist at SIOS Technology. He is recognized within the technology community as a high-availability expert and has been honored to be elected a Microsoft MVP for the past 8 years: 6 years as a Cluster MVP and 2 years as a Cloud and Datacenter Management MVP. David holds numerous technical certifications and has more than thirty years of IT experience, including in finance, healthcare and education.

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