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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 lone of the greatest utility enterprise acquisitions in history. while it truly is a foundation-shaking current for both IBM and purple Hat, it will now not repercussion the everyday lives of most working IT specialists.

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

i treasure 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 trustworthy 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 new know-how and product bulletins. What I find fascinating about this group is its steadfast alignment towards a compelling vision of how commerce statistics should breathe managed.

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

Would you own 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 bit of started in this commerce 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 oblige is reasonably a span.

All about utility

IBM has at every bit of times been about offering cohesive utility-first options to IT, which it closely couples with neatly-engineered hardware. This has been precise 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 bit of 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 route and backup, and that give utility-described storage solutions for file, block, and objects.

IBM's recent bulletins blanketed a flurry of new elements across the Spectrum Storage line, including a new respond for SAP HANA installations that leverages IBM storage, IBM Spectrum give protection to, and IBM Spectrum replica. It’s a stout 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 vigilant of storage networking efficiency considerations and proactively generate assist situations to aid IT before concerns circle 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 view IBM unlock this product. Given IBM's inheritance 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 share computing each drive new necessities for unstructured statistics. expostulate 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 remember what the statistics is, the location it came from, and what an IT crew may noiseless accomplish with it.

IBM Spectrum find is a new 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 expostulate Storage and IBM Spectrum Scale systems and, most particularly, is anticipated to assist Dell EMC Isilon someday in 2019.

realizing unstructured information is a problem for firms, one that turns into greater intricate every day. It’s also 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 bag about application, it is barely nearly as trustworthy because the underlying hardware. IT buyers today should noiseless 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 glance packaging expertise.

The most suitable illustration of IBM’s seat of attention on density is the DS8880F, which basically doubles its glance capability to a whopping 737TB (compared to its ragged 368TB). on the identical time, the IBM FlashSystem 900 and 9100 items are doubling in skill with new 18TB modules on the route to champion as much as 44TB effective ability. This new 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 retract profound on the particulars.

Concluding recommendations

in the fight for bragging rights, providers set up "hero numbers" that divulge that they own 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 every bit of structures which are developed on contemporary-technology—leveraging NVMe interconnects each interior and out of doors of the container, and carrying dependable media—will every bit of 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 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, 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 notable during this column.


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

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

Cloudy weather ahead for IBM and crimson Hat? | killexams.com true 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 ragged checklist. And it’s the third biggest tech acquisition in inheritance 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 gross 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 dependable chance to prerogative the ship as soon as and for all? Or is this mega merger a sophisticated contest of cultures and products that allows you to obtain it challenging to understand the complete competencies?

huge Blue’s been in large crisis

When the chips are down, it’s time to retract every bit of in. stout Blue actually shocked the expertise world when it introduced it will accomplish its largest deal ever and buy purple Hat for an gigantic 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 require desperate measures. IBM has been struggling to exhibit expand in new 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 sober annual number since 1997, when IBM revenues had been $seventy eight.fifty one billion, excluding inflation.

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

IBM has been a commerce 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 own posted checklist expand in recent instances. Amazon’s recent gains own surpassed $2 billion, for example.

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

In 1990, when Microsoft release windows three.0, IBM had revenues of $sixty nine billion (most effective $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 impress in 2018.

over the final 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 new revenues. Microsoft has recently been firing on every bit of cylinders while IBM skilled boom stalls.

gradual to bag 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 sprint own an outcome on of cloud. AWS every bit of 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 commerce at final 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 breathe 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 yoke 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 profit 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 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 furtive as Cloud endemic Computing foundation (CNCF) has grabbed most of the headlines with its Kubernetes container orchestration platform. IBM has a random 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 trustworthy 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 share of that market.

while the acquisition of crimson Hat offers IBM a stalwart position within the hybrid-cloud market, which could breathe confidential for firms that don't appear 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 bag 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 commerce continues to decline — in most cases because of the proven fact that these significant acquisitions own develop into a share of the IBM cloth and commerce 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 separate corporate cultures can approach collectively – IBM, a tedious expand 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 extreme 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 faultfinding platform choices on the cloud front. IBM has a public cloud that competes with AWS and Microsoft. but developers utilize pink Hat’s Linux on many public clouds. while that multi-cloud approach will champion IBM bring in revenue across the universal public clouds, it'll create battle with its own Softlayer cloud providing. IBM has struggled to exploit this classification of channel and product battle efficaciously during the past.

after which there's the future of IBM’s personal AIX working outfit 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 expostulate 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 random 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 study any unexpected movement of IBM’s location in the public cloud area. every bit of eyes will breathe on its capacity to catapult into the hybrid cloud market. For that, the enterprise will requisite to breathe confident it doesn’t bag in its personal approach.

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


000-961 Storage Sales for High-End Disk Version 1

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: 110 true Questions

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

Staying precise 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 live on a taut budget the Mi 8 carries a precipitous charge tag, which the phone’s awe-inspiring features completely justify. In a bid to obtain 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 pomp 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 charge tag with a big-screen mobile device, this version of the Mi 8 phone has gone up for sale carrying a considerably reduced charge 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 saturate 4.0+ 18W posthaste 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 charge 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 win handicap of this time-limited discount.


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

These offers are available in-store Nov. 23-26, but you can also 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 trustworthy preference 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 lofty marks on a similar model, with the biggest red flag being slow-ish performance, which is common to every bit of but the highest-end Chromebooks.

Dell XPS 13 4K, $1,350This is a trustworthy deal, though Costco itself has been selling the 13-inch laptop for the past several weeks for around $1,400. At other retailers, the charge has been closer to $1,600. This is essentially the very 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 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 difficult disk drive. The Core i3 processor—on the low terminate of Intel’s mainstream lineup—is powerful enough to exploit 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 also 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 difficult disk drive, their testers gave it trustworthy 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 difficult disk drive. The thing that truly distinguishes it is the dedicated Nvidia graphics card, which is useful for playing new 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 accomplish well in their ratings.


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

MemSQL is an in-memory database with champion 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 obtain their product the best database offer 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 bag 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 trustworthy route to invite users to try a product and view 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 bag converted to paying users.

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

Free tiers usually approach with some strings attached, however. They own 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 own 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 utilize MemSQL can build any application they want for free:

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

"As long as they don't requisite champion 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 bag an Enterprise license and champion running their workload as normal.

Legacy databases such as Oracle and SQL Server saturate a premium for lofty terminate features such as Oracle Data Guard and SQL Server mirroring that allow their customers to sprint 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 sprint out of space for your secondary storage.

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

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

User basis dynamics

Shamgunov notable that the amount of MemSQL's user basis 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 minute fish for MemSQL, but not an insignificant category. If you want to give MemSQL a spin, 128GB may retract a long way.

MemSQL comes with an annual license. So, if a current customer is under the 128GB and four node limit, they will bag MemSQL for free. In theory, they can discontinue 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 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 obtain confident customers would bag value with the offering, they weren't concerned if some current paying customers fell into the free category. They wanted to offer an environment that was robust enough to create production-level applications," said Shamgunov.

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

Shamgunov also added it's seeing that once customers bag 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 set MemSQL into production."

Faster star joins for data warehousing

Other than that, it's every bit of about performance in star joins. As star schemas are rather typical in data warehousing, this means existing applications that utilize it can bag 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 new proprietary, patent-pending algorithms for star joins that obtain utilize 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 accomplish a duty convene to search into a hash table created from the "build-side" table -- MemSQL now has a special implementation of hash connect that doesn't accomplish duty 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 share of the labor for multiple probes at once in a lone 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 lone 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 new encoded connect 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 connect algorithm.

Also: Future directions for Apache Flink/Data Artisans

memsqlresults.png

memsqlresults.png

MemSQL 6.7 also introduces MemSQL Studio, a UI of MemSQL clusters to breathe able to sprint SQL commands, visualize query plans, profile queries, workloads, and give insights into cluster status and performance. This is by a long shot overshadowed by the free tier and performance enhancement, but there's no doubt it will also 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 new version release for MemSQL, but it's bringing it forward in a not-so-minor way. The free tier offer will bag the attention, and it's not just a toy either, but it's the performance that MemSQL is really betting on to champion users hooked.

PREVIOUS AND RELATED COVERAGE:

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

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

Pretty low level, pretty stout deal: Apache Kafka and Confluent Open Source retract mainstream

Apache Kafka is distinguished 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 also 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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MORGAN Studio

is specialized in Architectural visualization , Industrial visualization , 3D Modeling ,3D Animation , Entertainment and Visual Effects .