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IBM IBM Storage Sales for

IBM Raises The Bar For Storage, once more | killexams.com actual Questions and Pass4sure dumps

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

IT specialists heart of attention on delivering at complete times authentic and best carrier to their valued clientele.  whereas the pink Hat integration will lift a long time to yield up to date product and applied sciences roadmaps for the current mixed enterprise, IBM’s concomitant plethora of storage bulletins is a lot extra essential when pondering your IT organization’s wants.

i admire 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 edifying 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 current know-how and product bulletins. What I find fascinating about this group is its steadfast alignment towards a compelling vision of how trade statistics should breathe managed.

IBM’s storage myth 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 breathe leveraged to deliver a cohesive solution to any IT company.

Would you acquire 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 complete started in this trade 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 force is reasonably a span.

All about utility

IBM has at complete times been about offering cohesive utility-first options to IT, which it closely couples with neatly-engineered hardware. This has been exact due to the fact that IBM delivered its first mainframe seventy years ago, carrying on with these days with its huge sweep 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 shove 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 complete 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 design and backup, and that give utility-described storage solutions for file, block, and objects.

IBM's recent bulletins blanketed a flurry of current elements across the Spectrum Storage line, including a current retort for SAP HANA installations that leverages IBM storage, IBM Spectrum give protection to, and IBM Spectrum replica. It’s a Big 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 cognizant of storage networking efficiency considerations and proactively generate assist situations to aid IT before concerns swirl into complications. This kind 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 perceive 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 section computing each drive current necessities for unstructured statistics. protest storage is among the fastest turning out to breathe 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 recall what the statistics is, the spot it came from, and what an IT crew may still execute with it.

IBM Spectrum find is a current 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 protest Storage and IBM Spectrum Scale systems and, most particularly, is anticipated to wait on 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 rigor to set up traditional software tools to remedy. It’s excellent to perceive IBM deliver expertise into this area. it'll set the bar for others to observe.

efficiency and density

As excited as I win about application, it is barely nearly as edifying because the underlying hardware. IT buyers today should still suppose spoiled with the aid of the excellent and breadth of solutions obtainable to them. the upward shove 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 glance packaging expertise.

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

The up-to-date third-generation Storwize V7000 beneficial 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 necessity to disappear profound on the particulars.

Concluding recommendations

in the fight for bragging rights, providers set up "hero numbers" that expose that they acquire the world's fastest array. This yr that declare changed into credibly made by using Dell EMC, sheer Storage, and IBM. The fact is that almost complete structures which are developed on contemporary-technology—leveraging NVMe interconnects each interior and out of doors of the container, and carrying trustworthy media—will complete satisfy 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 retort 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, fancy 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 breathe cited listed here. I don't hold any fairness positions with any groups noted during this column.


What IBM's bid for purple Hat says about the federal market | killexams.com actual Questions and Pass4sure dumps

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

Cloudy weather ahead for IBM and crimson Hat? | killexams.com actual Questions and Pass4sure dumps

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 ancient 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 entire 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 breathe their most trustworthy occasion to prerogative the ship as soon as and for all? Or is this mega merger a sophisticated affray of cultures and products that allows you to get it challenging to understand the complete competencies?

huge Blue’s been in big crisis

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

desperate instances exact desperate measures. IBM has been struggling to exhibit augment in current 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 staid 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 current line of IBM Z mainframe computer systems.

IBM has been a trade 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 acquire posted checklist augment in recent instances. Amazon’s recent gains acquire surpassed $2 billion, for example.

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

In 1990, when Microsoft release windows three.0, IBM had revenues of $sixty nine billion (most efficient $10 billion shy 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 trail in 2018.

over the last 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 current revenues. Microsoft has recently been firing on complete cylinders while IBM skilled boom stalls.

gradual to win 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 Run acquire an outcome on of cloud. AWS complete 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 trade at last 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 participate when you’re late to the celebration. Softlayer’s worldwide market participate continues to breathe a distant fifth behind AWS, Microsoft, Google, and even brisker newcomer Alibaba, which passed IBM’s cloud revenues in June of 2018.

IBM made a couple 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 participate 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 breathe 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 endemic Computing foundation (CNCF) has grabbed most of the headlines with its Kubernetes container orchestration platform. IBM has a haphazard 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 fancy telecommunications.

There is no doubt that purple Hat offers IBM a a edifying 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 section of that market.

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

Will the mixing win 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 trade continues to decline — in most cases because of the proven fact that these significant acquisitions acquire develop into a section of the IBM cloth and trade 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 several corporate cultures can compass collectively – IBM, a gradual augment company not making much evolution 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 immoderate profile mergers such as HP/Compaq, HP/Autonomy, Microsoft/Nokia, AOL/Time Warner, sprint/Nextel and Alcatel/Lucent. IBM will necessity to embody the open source community and strategy.

The joint enterprise will visage faultfinding platform choices on the cloud front. IBM has a public cloud that competes with AWS and Microsoft. but developers exercise pink Hat’s Linux on many public clouds. while that multi-cloud approach will support IBM bring in revenue across the common 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 gear 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 fancy red Hat Ceph (an protest file storage) and purple Hat Gluster (a NAS product). As red Hat integrates into IBM’s hybrid cloud group, these storage items will breathe separated from IBM, which might create confusion and battle.

So while IBM definitely faces loads of haphazard 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 ogle any unexpected movement of IBM’s spot in the public cloud area. complete eyes will breathe on its capacity to catapult into the hybrid cloud market. For that, the enterprise will necessity to breathe positive it doesn’t win in its personal approach.

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




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000-961 exam Dumps Source : Storage Sales for High-End Disk Version 1

Test Code : 000-961
Test name : Storage Sales for High-End Disk Version 1
Vendor name : IBM
: 110 actual Questions

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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 exact 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 animate on a taut budget the Mi 8 carries a precipitous expense tag, which the phone’s awe-inspiring features completely justify. In a bid to get 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 chain 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 follow 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 imbue 4.0+ 18W fleet charging and it features a slew of useful sensors including Infrared visage 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 lift advantage 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 edifying altenative for consumers with basic computing needs (as in browsing online and using web-based apps fancy Gmail and the Google Docs productivity suite). Their testers bestowed elevated marks on a similar model, with the biggest red flag being slow-ish performance, which is common to complete but the highest-end Chromebooks.

Dell XPS 13 4K, $1,350This is a edifying 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 same 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 organize poor overall performance, adding that the 64GB of storage made it difficult to download big 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 arduous disk drive. The Core i3 processor—on the low finish of Intel’s mainstream lineup—is powerful enough to handle everyday tasks such as browsing the web and running office productivity apps, but it may breathe 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 status drive. When they rated a similar model with a (larger but slower) 2 terabyte arduous disk drive, their testers gave it edifying 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 arduous disk drive. The thing that truly distinguishes it is the dedicated Nvidia graphics card, which is useful for playing current 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 execute 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 support 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 get their product the best database present out there.

Today, MemSQL is releasing version 6.7, bringing a sweep of capabilities focused on usability, simplicity, performance, and compatibility with legacy systems and third-party tools. But what is probably going to win 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 edifying artery to invite users to try a product and perceive if it works for them. The thinking behind it is if people fancy the offering and start using it they will eventually outgrow the free tier and win converted to paying users.

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

Free tiers usually compass with some strings attached, however. They acquire 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 acquire the best freebie around, as it offers a complete version of MemSQL 6.7, with restrictions applying only to reminiscence size and number of nodes -- up to 128GB and 4 nodes.

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

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

"As long as they don't necessity support 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 win an Enterprise license and hold running their workload as normal.

Legacy databases such as Oracle and SQL Server imbue a premium for elevated finish features such as Oracle Data Guard and SQL Server mirroring that allow their customers to Run mission faultfinding workloads. The MemSQL free tier comes with similar capabilities out of the box."

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

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

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

User base dynamics

Shamgunov noted that the amount of MemSQL's user base using up to 128GB of reminiscence is less than 20 percent, representing less than 5 percent of MemSQL's revenue. In other words, it's diminutive 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 win MemSQL for free. In theory, they can desist paying MemSQL if they don't necessity any support.

However, if they necessity more capacity or support, then they will necessity an Enterprise license. The free tier of MemSQL can breathe 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 get positive customers would win value with the offering, they weren't concerned if some current paying customers fell into the free category. They wanted to present an environment that was robust enough to create production-level applications," said Shamgunov.

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

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

"We perceive 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 set MemSQL into production."

Faster star joins for data warehousing

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

To achieve this, MemSQL has added current proprietary, patent-pending algorithms for star joins that get exercise 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 connect in the traditional way, where each row of the "probe-side" table is used to execute a role summon to search into a hash table created from the "build-side" table -- MemSQL now has a special implementation of hash connect that doesn't execute role 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 section of the toil for multiple probes at once in a unique 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 connect query that forces processing of every unique 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 current encoded connect capability enabled prove 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 connect 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 breathe able to Run SQL commands, visualize query plans, profile queries, workloads, and give insights into cluster status and performance. This is Somewhat overshadowed by the free tier and performance enhancement, but there's no doubt it will furthermore breathe a welcome addition for MemSQL users.

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

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

PREVIOUS AND RELATED COVERAGE:

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

Are you cognizant the web is dying in the stranglehold of Big tech, from which you'd fancy to straggle away, but feel you don't acquire an alternative? If you are ready for a completely different paradigm, Manyverse and Scuttlebutt may breathe your thing.

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

Apache Kafka is Great 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

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning frameworks for research and production in PyTorch, and Chintala explains how and why.



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