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IBM IBM Storage Sales for

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The massive information in the know-how world this past week became IBM corporation’s purchase of crimson Hat in a single of the greatest utility enterprise acquisitions in history. while it truly is a foundation-shaking flood for both IBM and purple Hat, it will now not repercussion the everyday lives of most working IT specialists.

IT specialists headquarters of attention on delivering at every single times authentic and best carrier to their valued clientele.  whereas the pink Hat integration will Take a long time to bow up to date product and applied sciences roadmaps for the modern mixed enterprise, IBM’s coincident plethora of storage bulletins is a lot extra essential when pondering your IT organization’s wants.

i fancy covering IBM's storage bulletins. The storage neighborhood, while sitting within an unquestionable behemoth of a know-how business, strikes with the pace and agility of a a suitable deal smaller corporation. it's an organization that has palpable power inside it.

This agility and tempo has allowed the IBM storage group to carry a cadence of extraordinary modern know-how and product bulletins. What I find fascinating about this group is its steadfast alignment towards a compelling vision of how traffic statistics should subsist managed.

IBM’s storage narrative focuses on how statistics is generated, managed, and consumed within an commercial enterprise. it is that figuring out that generates a set of technologies that will furthermore subsist leveraged to deliver a cohesive solution to any IT company.

Would you accommodate got guessed that IBM now has the broadest portfolio of NVMe and NVMe-over-cloth enabled items within the business? It shocked me. I wasn’t surprised to study that IBM is the area chief in tape archive options, seeing that I every single started in this traffic with the aid of altering nine-song tapes for gasoline money. IBM and tape are permanently cemented in my intellect. at the identical time, a portfolio that reaches from arguably the fastest storage arrays in production to the lowliest tape coerce is reasonably a span.

All about utility

IBM has at every single times been about offering cohesive utility-first options to IT, which it closely couples with neatly-engineered hardware. This has been true due to the fact that IBM delivered its first mainframe seventy years ago, carrying on with these days with its huge purview of offerings in compute and storage that span on-premises and cloud architectures.

because it organizations circulation from tape to cloud for data insurance policy and archival storage, and as facts comes alive with the upward push of AI-pushed analytics and area-driven compute, managing that information turns into a logistical problem. understanding where facts is, what it’s used for, and what the corporation’s requirements are in retaining that data is what drives lengthy-term technology decisions.

Managing the circulation of a company’s facts, whereas offering insights on the qualities of that facts, is what IBM’s Spectrum Storage suite is every single about. There are IBM Spectrum Storage items that control statistics in virtualized environments, provision storage into hybrid-cloud deployments, control the complexities of information-insurance diagram and backup, and that give utility-described storage solutions for file, block, and objects.

IBM's recent bulletins blanketed a flurry of modern elements across the Spectrum Storage line, including a modern respond for SAP HANA installations that leverages IBM storage, IBM Spectrum give protection to, and IBM Spectrum replica. It’s a mountainous list, but two utility-connected announcements dominated my attention.

IBM Storage Insights

IBM Storage Insights is a cloud-based mostly management device that leverages IBM AI technology to become watchful of storage networking efficiency considerations and proactively generate assist situations to aid IT before concerns circle into complications. This sort of capability is rolling out from providers across the IT trade and is quick becoming table stakes for selling storage solutions into the enterprise.

i'm blissful to view IBM unlock this product. Given IBM's heritage in artificial intelligence, mixed with its half-century-long institutional legacy in helping datacenter know-how, it may become anything special.

Mapping unstructured statistics

Analytics-driven workloads and Part computing each drive modern necessities for unstructured statistics. kick storage is among the fastest turning out to subsist storage applied sciences in enterprise IT, with options from most true-tier storage groups, including IBM. The problem of unstructured records lies in the means to recollect what the statistics is, the residence it came from, and what an IT crew may silent conclude with it.

IBM Spectrum find is a modern providing from IBM that aims to tame unstructured information and provide insights into exactly what that statistics is. Spectrum find, which arose from know-how generated interior of IBM analysis, scans and creates metadata, developing catalogs for an unstructured information set. this is designed to deliver a roadmap to a firm's records. IBM Spectrum ascertain will aid facts within IBM Cloud kick Storage and IBM Spectrum Scale systems and, most particularly, is anticipated to back Dell EMC Isilon someday in 2019.

realizing unstructured information is a problem for firms, one that turns into greater intricate every day. It’s furthermore no longer a simple difficulty to set up traditional software tools to remedy. It’s excellent to view IBM deliver expertise into this area. it'll set the bar for others to observe.

efficiency and density

As excited as I Get about application, it is barely nearly as suitable because the underlying hardware. IT buyers today should silent suppose spoiled with the aid of the excellent and breadth of solutions obtainable to them. the upward push of solid-state storage, NVMe interconnects, and built-in server-category processing makes it a superb time to buy storage options.

IBM is increasing its portfolio of hardware choices and, on the equal time, changing into the expertise company with the broadest providing of NVMe and NVMe-over-fabric storage items. IBM makes a speciality of performance with NVMe, and on storage density with its entertaining glint packaging expertise.

The most suitable illustration of IBM’s headquarters of attention on density is the DS8880F, which basically doubles its glint capability to a whopping 737TB (compared to its frail 368TB). on the identical time, the IBM FlashSystem 900 and 9100 items are doubling in skill with modern 18TB modules on the route to advocate as much as 44TB efficacious ability. This modern means is up from 22TB offered by means of the outdated era module.

The up-to-date third-generation Storwize V7000 advantageous properties integrated NVMe and quite a number growth alternate options, while supplying what IBM describes as a 2.7x boost in optimum throughput for some workloads—all whereas being clustered with other V7000 arrays to serve a cluster-vast 32PB of ability.

IBM announced extra hardware points and tweaks across its storage line. try its site in case you requisite to disappear deep on the particulars.

Concluding recommendations

in the fight for bragging rights, providers rescue up "hero numbers" that reveal that they accommodate the world's fastest array. This yr that declare changed into credibly made by using Dell EMC, simple Storage, and IBM. The fact is that almost every single structures which are developed on contemporary-technology—leveraging NVMe interconnects each interior and out of doors of the container, and carrying trustworthy media—will every single answer most demanding storage needs.

beyond hardware bragging rights, IT teams should focal point on the broader query of how these storage solutions are integrated into their standard IT architecture. utility is the glue that ties collectively storage hardware with cloud, hybrid-cloud, and different storage and compute fashions to provider the altering calls for of records in the commercial enterprise.

IBM specializes in providing a holistic respond to datacenters. Given the breadth and depth of its storage portfolio, its supporting software suites, and its penetration into cloud, IBM is one to monitor as companies’ bits and bytes are grew to become into actionable data.

Disclosure: My company, Moor Insights & approach, dote every analysis and analyst businesses, gives or has provided analysis, evaluation, advising, and/or consulting to many excessive-tech groups within the trade, including Dell EMC, red Hat, and IBM, which may subsist cited listed here. I don't hold any fairness positions with any groups eminent during this column.


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No result discovered, are attempting modern keyword!IBM’s $34 billion bid to acquire open-supply application giant ... to win lucrative cloud travail from groups that prefer to designation computing vigor, database storage, functions and other IT useful resource...

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the area is buzzing about the application business’s biggest acquisition ever. This “online game altering” IBM acquisition of pink Hat for $34 billion eclipses Microsoft’s $26.2 billion of LinkedIn, which set the frail checklist. And it’s the third biggest tech acquisition in heritage behind Dell buying EMC for $64 billion in 2015 and Avago’s buyout of Broadcom for $37 billion the identical 12 months.

Wall highway actually receives anxious when it sees these lofty fee tags. IBM’s stock became down 4.2 % following the announcement, and there are probably extra concerns over a broader IBM selloff around how a total lot IBM is paying for purple Hat.

This sets the stage for massive expectations on IBM to leverage this asset as a essential turning factor in its heritage. considering IBM’s Watson AI poster baby has did not create sustainable increase, may this subsist their most trustworthy occasion to privilege the ship as soon as and for all? Or is this mega merger a sophisticated conflict of cultures and products that allows you to bear it challenging to understand the complete competencies?

huge Blue’s been in large crisis

When the chips are down, it’s time to disappear every single in. mountainous Blue actually shocked the expertise world when it introduced it will conclude its largest deal ever and buy purple Hat for an colossal 11x top class. The fact is that pink Hat became no longer necessarily seeking to subsist obtained, so overpaying became the only manageable choice. And if IBM didn’t pay, Google, Amazon, VMWare or even Alibaba would have.

desperate instances claim desperate measures. IBM has been struggling to exhibit enlarge in modern markets for quite a while. earlier than 2018, it had 22 straight quarters of revenue decline. And it has misplaced over $28 billion in profits over the past six years. Its income at the conclusion if 2017 was $seventy nine.14 billion, the bottom in two decades and the more solemn annual number since 1997, when IBM revenues had been $seventy eight.fifty one billion, excluding inflation.

In early 2018, IBM turned into able to bear three consecutive quarters of earnings boom, however that changed into primarily due to the introduction of a brand modern line of IBM Z mainframe computer systems.

IBM has been a traffic in decline for many years. It’s complicated to sustain a company with shrinking sales.

Too historic to develop?

IBM is greater than a hundred years historical and definitely suffers from comparisons to more youthful and nimbler groups akin to Amazon, Google, facebook, and Apple which accommodate posted checklist enlarge in recent instances. Amazon’s recent gains accommodate surpassed $2 billion, for example.

in case you contrast IBM to Microsoft, another ancient world utility enterprise, it’s startling to peer the disagreement in how Microsoft has been capable of reposition itself as enlarge enterprise based on the cloud.

In 1990, when Microsoft release windows three.0, IBM had revenues of $sixty nine billion (most efficacious $10 billion modest of what it has today), whereas Microsoft had around $800 million. Microsoft surpassed IBM in earnings in 2015 and crossed the $one hundred billion annual profits imprint in 2018.

over the ultimate several years, as IBM’s profits shrank, Microsoft invested in its “industrial cloud” enterprise that encompasses Azure, workplace 365, and Dynamics 365, bringing in over $23 billion in modern revenues. Microsoft has recently been firing on every single cylinders while IBM skilled boom stalls.

gradual to Get to the cloud

IBM’s success within the hardware company, mainly it’s Z-collection mainframes, compelled it to give protection to its turf and distracted it from seeing the long flee accommodate an effect on of cloud. AWS every single started offering public cloud functions back in 2006. As late as 2011, IBM become barely citing the note “cloud” in its annual reviews or revenue calls. The traffic at ultimate realized in 2013 that cloud computing became the longer term and made a hail-Mary buy of SoftLayer to bridge the gap, paying $2 billion and then investing an additional $1 billion to integrate the platform.

It’s complicated to establish huge market share when you’re late to the celebration. Softlayer’s worldwide market share continues to subsist a remote fifth behind AWS, Microsoft, Google, and even brisker newcomer Alibaba, which passed IBM’s cloud revenues in June of 2018.

IBM made a brace of different cloud-connected acquisitions, including Gravitant (a cloud brokerage and administration software), Bluebox (a non-public cloud as a carrier platform in keeping with OpenStack), Sanovi (a hybrid cloud recovery and migration software), Lighthouse and CrossIdeas (each cloud security systems), and CSL international (a cloud virtualization platform).

despite these acquisitions in the cloud market, IBM has did not basically monetize those products and benefit market share in the cloud.

The company has did not capitalize on innovations before: Watson AI changed into on the top of its video game when it debuted on Jeopardy in 2011 to beat human contestants but instantly fell at the back of Amazon, Google, and Microsoft.

Will pink Hat subsist the savior?

purple Hat is the realm’s biggest provider of open-supply enterprise software options. red Hat’s bread and butter Linux company continues to convey boom exceptionally because it powers many modern AI and analytics workloads. Its model has developed from basically on-premise to a in shape subscription enterprise used on public cloud platforms equivalent to Amazon net services (AWS), Microsoft Azure, and Google Cloud Platform (GCP).

purple Hat has additionally accelerated into open middleware options equivalent to OpenStack, a cloud infrastructure platform, and OpenShift, a platform for managing application containers. OpenShift has lengthy been a well-saved covert as Cloud aboriginal Computing foundation (CNCF) has grabbed most of the headlines with its Kubernetes container orchestration platform. IBM has a casual to leverage its advertising and global attain to motivate mainframe and legacy consumers to undertake OpenShift. These platforms had been incredibly leveraged in inner most and hybrid cloud deployments, in particular in industries dote telecommunications.

There is no doubt that purple Hat offers IBM a a suitable deal more credible cloud story. however the query in fact is, is it too late?

The acquisition is actually decent information for firms seeking to shift classic container-based mostly applications and digital machines to the cloud. however, Amazon has already captured a significant Part of that market.

while the acquisition of crimson Hat offers IBM a strong position within the hybrid-cloud market, which could subsist close for firms that don't appear to subsist taking the time to decommission or re-architect legacy applications, the fast-growing public cloud market will subsist the battleground of the future.

Will the mixing Get messy?

IBM has had a spotty checklist when it involves integrating and capitalizing on tremendous acquisitions.

while the majority of IBM’s M&A has been in the area of software, income in the section has been disappointing. perhaps what is regarding is that adjusting for acquisitions, IBM’s utility traffic continues to decline — in most cases because of the proven fact that these significant acquisitions accommodate develop into a Part of the IBM cloth and traffic as general.

Can IBM integrate whatever as massive as pink Hat without interfering with its core value proposition? Many worry that huge Blue will attempt to “blue wash” their platform of option.

And there’s the question of whether these two distinct corporate cultures can reach collectively – IBM, a leisurely enlarge company not making much development in the cloud house, and crimson Hat, an ingenious, open supply enterprise it's constructing foundational accessories for operating within the cloud.

We’ve considered tradition clashes derail many different inordinate profile mergers such as HP/Compaq, HP/Autonomy, Microsoft/Nokia, AOL/Time Warner, sprint/Nextel and Alcatel/Lucent. IBM will requisite to embody the open source community and strategy.

The joint enterprise will pan captious platform choices on the cloud front. IBM has a public cloud that competes with AWS and Microsoft. but developers employ pink Hat’s Linux on many public clouds. while that multi-cloud approach will advocate IBM bring in revenue across the generic public clouds, it'll create battle with its own Softlayer cloud providing. IBM has struggled to manipulate this classification of channel and product battle efficaciously during the past.

after which there's the future of IBM’s personal AIX working tackle vs. Linux — no longer to mention the SCO-IBM Unix lawsuit nevertheless lingering within the courts.

additionally to word are the lesser regular crimson Hat storage items dote red Hat Ceph (an kick file storage) and purple Hat Gluster (a NAS product). As red Hat integrates into IBM’s hybrid cloud group, these storage items will subsist separated from IBM, which might create confusion and battle.

So while IBM definitely faces loads of casual with the acquisition, there is no guarantee this massive wager will pay off. IBM mandatory a bold stream. but in the short term, we're not going to hunt any unexpected movement of IBM’s residence in the public cloud area. every single eyes will subsist on its capacity to catapult into the hybrid cloud market. For that, the enterprise will requisite to subsist confident it doesn’t Get in its personal approach.

Frank Palermo is the government vp at Virtusa’s world Digital business, the residence he's accountable for know-how practices in UX, mobility, social, cloud, analytics, massive facts, and IoT.


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Buy Xiaomi Mi 8 And Its Global Version At Heavily Discounted Prices On Giztop | killexams.com actual questions and Pass4sure dumps

Staying true to its reputation for offering high-end smartphones that meet the varied needs of smartphone users, Xiaomi launched the Mi 8 this year in June. As expected, the phone became an instant hit among Xiaomi fans.But much to the chagrin of those vital on a tense budget the Mi 8 carries a precipitous expense tag, which the phone’s awe-inspiring features completely justify. In a bid to bear the coveted Mi 8 available to cost-conscious buyers, the Chinese electronics giant has collaborated with Giztop, offering two versions of the phone at unbeatable prices.

Xiaomi Mi 8

The Mi 8 sports a mammoth 6.21 inches Super AMOLED capacitive touchscreen parade with a screen resolution of 1080 x 2248 pixels. The phone is housed in a sturdy 7000 sequence aluminum frame and has Gorilla Glass 5 on top for added protection.

While you’d usually associate a precipitous expense tag with a big-screen mobile device, this version of the Mi 8 phone has gone up for sale carrying a considerably reduced expense tag of just $359 on Giztop. Note that this version usually sells for $449 on the official online store of GizmoChina.You can supervene this link to check out the other storage options that you can buy without emptying your pocket.  The Mi 8 is available in black, blue, gold and white color versions.

Xiaomi Mi 8 Global Version

The global version of the Mi 8 smartphone packs a powerful Qualcomm Snapdragon 845 processor along with Adreno 630 GPU, under the hood. Furthermore, this model comes with 6GB of LPDDR4X RAM and offers 64GB/128GB of onboard storage for saving music, photos, apps, and other content.

It houses a 12MP +12MP AI dual camera module on the back and a 20-megapixel front shooter for selfies and face-to-face video chatting. The global version model supports English as well as Chinese language and runs on MIUI 10-based Android 8.1 Oreo OS.The global version of the Xiaomi Mi 8 smartphone draws its juices from a 3400mAh battery which supports Quick permeate 4.0+ 18W expeditiously charging and it features a slew of useful sensors including Infrared pan recognition, fingerprint (rear-mounted), accelerometer, gyro, proximity, barometer, and compass.

The Mi 8 global version with 6GB RAM+64GB ROM would normally set you back $449, buy Xiaomi is offering it at a dropped expense on Giztop. As a result, you can buy this variant for just $399. But that’s not all.

The slightly larger version offering 6GB RAM+128GB ROM is available for $429, while it normally sells for $479. You can head straight to this link to Take handicap of this time-limited discount.


Costco Black Friday 2018 Laptop Deals Revealed | killexams.com actual questions and Pass4sure dumps

These offers are available in-store Nov. 23-26, but you can furthermore find them online on Nov. 22.

Acer 13-inch Chromebook, $289This Acer Chromebook—which runs Chrome OS instead of Windows—was priced at $389 throughout the year, with the exception of a few weeks over the summer when it hit $339. It’s a suitable altenative for consumers with basic computing needs (as in browsing online and using web-based apps dote Gmail and the Google Docs productivity suite). Their testers bestowed towering marks on a similar model, with the biggest red flag being slow-ish performance, which is common to every single but the highest-end Chromebooks.

Dell XPS 13 4K, $1,350This is a suitable deal, though Costco itself has been selling the 13-inch laptop for the past several weeks for around $1,400. At other retailers, the expense has been closer to $1,600. This is essentially the identical laptop Costco has listed above for its Thanksgiving Day sale, but with half the storage (512GB vs. 1 terabyte). 

HP 14, $225This 14-inch laptop has been in stores for only a few weeks. If you’re looking for anything beyond a very basic computer, they recommend that you pass it up. It packs a lower-end Intel Pentium processor and only 4GB of memory. And when their testers rated a similar model, they institute indigent overall performance, adding that the 64GB of storage made it difficult to download large Windows updates.

Dell Inspiron 5000, $380 This 15-inch laptop has been priced between $430 and $470 for most of the year. A decent option, it has the latest Intel Core i3 processor, 12GB of memory, and a 1 terabyte hard disk drive. The Core i3 processor—on the low quit of Intel’s mainstream lineup—is powerful enough to ply everyday tasks such as browsing the web and running office productivity apps, but it may subsist limited for video editing and gaming. When they rated a similar model, their testers furthermore pointed out the so-so 6.25-hour battery life.

Dell Inspiron 15 7000, $600This 15-inch laptop spent most of the year priced around $830. It has solidly mainstream specs: the latest-generation Intel Core i5 processor, 8GB of memory, and a 256GB solid state drive. When they rated a similar model with a (larger but slower) 2 terabyte hard disk drive, their testers gave it suitable marks overall. Their biggest knock? The 6.5-hour battery life.

HP Pavilion 15.6, $800Despite the claimed savings of $300, this laptop typically sells for that $800 sales price. Similar to other HP Pavilion models advertised for Black Friday, it comes with the latest Intel Core i7 processor, 16GB of memory, and a 1 terabyte hard disk drive. The thing that truly distinguishes it is the dedicated Nvidia graphics card, which is useful for playing modern 3D games or using graphics-heavy apps for photo and video editing. They haven’t reviewed this specific model, but other HP Pavilions in this size conclude well in their ratings.


MemSQL 6.7 brings free tier and performance enhancement: Transactions for nothing, and faster queries for free | killexams.com actual questions and Pass4sure dumps

MemSQL is an in-memory database with advocate for transactional and analytical workloads. It has not been that long since they covered version 6.5, and MemSQL's people are not short of ambition, as their vision is to bear their product the best database proffer out there.

Today, MemSQL is releasing version 6.7, bringing a purview of capabilities focused on usability, simplicity, performance, and compatibility with legacy systems and third-party tools. But what is probably going to Get the most attention is the free tier and performance enhancement.

Freebies, few strings attached

Free tiers are nothing new, in databases and beyond. It's a suitable route to invite users to try a product and view if it works for them. The thinking behind it is if people dote the offering and start using it they will eventually outgrow the free tier and Get converted to paying users.

Also: Neuton: A new, disruptive neural network framework for AI applications

Free tiers usually reach with some strings attached, however. They accommodate a limited duration, or stripped-down capabilities, or both. In databases, restrictions usually involve things such as limited functionality or storage capacity. MemSQL claims to accommodate the best freebie around, as it offers a plenary version of MemSQL 6.7, with restrictions applying only to memory size and number of nodes -- up to 128GB and 4 nodes.

Nikita Shamgunov, MemSQL CEO, said that anyone using or wanting to employ MemSQL can build any application they want for free:

istock-592367274.jpg MemSQL offers a free tier, but how much can you actually conclude with it? (Image: Peshkova, Getty Images/iStockphoto)

"As long as they don't requisite advocate or to scale beyond 128GB or four nodes, MemSQL will remain free for them. And if they grow beyond the free tier, it's a simple request to Get an Enterprise license and sustain running their workload as normal.

Legacy databases such as Oracle and SQL Server permeate a premium for towering quit features such as Oracle Data Guard and SQL Server mirroring that allow their customers to flee mission captious workloads. The MemSQL free tier comes with similar capabilities out of the box."

Disk storage is unlimited, but for in-memory databases dote MemSQL, this is a secondary concern. Query processing does not occur on disk, but no disk storage limitations ensures that you won't flee out of space for your secondary storage.

Also: Processing time sequence data: What are the options?

The actual question is: How much can you Get done with 128GB of memory? This may sound dote a lot for the medium user, but can any meaningful real-world applications subsist built with this?

User ground dynamics

Shamgunov eminent that the amount of MemSQL's user ground using up to 128GB of memory is less than 20 percent, representing less than 5 percent of MemSQL's revenue. In other words, it's small fish for MemSQL, but not an insignificant category. If you want to give MemSQL a spin, 128GB may disappear a long way.

MemSQL comes with an annual license. So, if a current customer is under the 128GB and four node limit, they will Get MemSQL for free. In theory, they can stop paying MemSQL if they don't requisite any support.

However, if they requisite more capacity or support, then they will requisite an Enterprise license. The free tier of MemSQL can subsist used on-premises or in the cloud, but it does not apply to MemSQL's managed version.

memsql-6-7-image.png

memsql-6-7-image.png

MemSQL 6.7 introduces a dashboard

"When deciding the threshold for the free tier, they wanted to bear confident customers would Get value with the offering, they weren't concerned if some current paying customers fell into the free category. They wanted to proffer an environment that was robust enough to create production-level applications," said Shamgunov.

Also: erudition graphs beyond the hype: Getting erudition in and out of graphs and databases

Shamgunov furthermore added it's seeing that once customers Get started with MemSQL they expand their contracts and find other places within their organizations to utilize the technology:

"We view customers starting at sub-$100,000 contracts renew the next year with over million-dollar deals. So, they expect that trend to continue once more people are able to test and rescue MemSQL into production."

Faster star joins for data warehousing

Other than that, it's every single about performance in star joins. As star schemas are rather typical in data warehousing, this means existing applications that utilize it can Get far faster response times and concurrent throughput. MemSQL highlights the fact this allows interactive analytics on large data sets with rapidly changing data, without resorting to the complexity of pre-aggregating data.

To achieve this, MemSQL has added modern proprietary, patent-pending algorithms for star joins that bear employ of vectorization and SIMD. These algorithms operate directly on MemSQL's compressed column store data formats, called encoded data.

Shamgunov explained that -- instead of doing a hash unite in the traditional way, where each row of the "probe-side" table is used to conclude a function call to search into a hash table created from the "build-side" table -- MemSQL now has a special implementation of hash unite that doesn't conclude function calls in the inner loop.

Also: The past, present, and future of streaming: Flink, Spark, and the gang

Instead, it uses generated, templatized code to process Part of the travail for multiple probes at once in a single SIMD instruction, operating directly on encoded data. To demonstrate this, MemSQL used a basic star schema data set.

memsqltable.jpg

memsqltable.jpg

The following is a basic star unite query that forces processing of every single row from the fact table, does a join, and groups by columns from a dimension:

Select d_daynuminweek, d_dayofweek, count(*) as c from media_view_fact f, date_dim d where f_datekey = d_datekeygroup by 1, 2 order by 1 asc;​

The results from running the query with and without the modern encoded unite capability enabled note a speedup of 101 times. MemSQL said the data is not pre-aggregated, and the speedup is due to operating directly on encoded data, using SIMD and the enhanced unite algorithm.

Also: Future directions for Apache Flink/Data Artisans

memsqlresults.png

memsqlresults.png

MemSQL 6.7 furthermore introduces MemSQL Studio, a UI of MemSQL clusters to subsist able to flee SQL commands, visualize query plans, profile queries, workloads, and give insights into cluster state and performance. This is moderately overshadowed by the free tier and performance enhancement, but there's no doubt it will furthermore subsist a welcome addition for MemSQL users.

Also: Google can now search for datasets. First research, then the world?

All in all, this may subsist a minor modern version release for MemSQL, but it's bringing it forward in a not-so-minor way. The free tier proffer will Get the attention, and it's not just a toy either, but it's the performance that MemSQL is really betting on to sustain users hooked.

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Manyverse and Scuttlebutt: A human-centric technology stack for sociable applications

Are you watchful the web is dying in the stranglehold of mountainous tech, from which you'd dote to slouch away, but feel you don't accommodate an alternative? If you are ready for a completely different paradigm, Manyverse and Scuttlebutt may subsist your thing.

Pretty low level, pretty mountainous deal: Apache Kafka and Confluent Open Source disappear mainstream

Apache Kafka is powerful and all, but it's an early adopter thing, goes the conventional wisdom. Jay Kreps, Kafka co-creator and Confluent CEO, digresses. Mainstream adoption is happening, and it's happening now, he says, while furthermore commenting on latest industry trends.

Apache Spark creators set out to standardize distributed machine learning training, execution, and deployment

Matei Zaharia, Apache Spark co-creator and Databricks CTO, talks about adoption patterns, data engineering and data science, using and extending standards, and the next wave of innovation in machine learning: Distribution.

Opinionated and open machine learning: The nuances of using Facebook's PyTorch

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