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000-M226 IBM Smart Analytics Sales Mastery Test(R) v1

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000-M226 exam Dumps Source : IBM Smart Analytics Sales Mastery Test(R) v1

Test Code : 000-M226
Test Name : IBM Smart Analytics Sales Mastery Test(R) v1
Vendor Name : IBM
Q&A : 34 Real Questions

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IBM IBM Smart Analytics Sales

IBM Furthers investment In company Analytics With sensible Analytics Cloud | killexams.com Real Questions and Pass4sure dumps

all over IBM’s Q3 income call a couple of weeks in the past, IBM CFO Mark Loughridge highlighted company analytics as a sector where large Blue is investing colossal quantities of cash. The company lately received information analytics business SPSS for $1.2 billion and enterprise analytics firm RedPill. Tonight, IBM is unveiling a new interior analytics product that the company is touting as the “largest inner most cloud computing ambiance for enterprise analytics on earth,” which launches internally with more than a petabyte of suggestions. together with this inside product, IBM will launch a companion product for valued clientele to construct upon this cloud-based mostly architecture, called IBM sensible Analytics Cloud.

The internal product, dubbed Blue insight, will give 200,000 employees in IBM’s income and development department with the means to extract records and counsel to make decisions and profit extra insight on the element of sale. Blue insight will gather tips from well-nigh a hundred distinctive advice warehouses and records retailers, presenting analytics on more than a petabyte (1,000 terabytes or 1,000,000 gigabytes) of statistics. as an instance, earnings professionals can also use customizable queries of actual time records to bear in mind income opportunities and the way many revenue of their location are closing to help enhance prediction. Or a manufacturing system engineer can consider precise-time records on the plant floor to identify tendencies and information to improve yield and in the reduction of cargo delivery times.

IBM smart Analytics Cloud offering for purchasers will in a similar way carry powerful enterprise intelligence by means of the scalable, deepest cloud. The product will lets the customer import facts and than seriously change this assistance into insights to boost options and selections. The carrier sill present the potential to create studies, analysis, dashboards, and scorecards to computer screen enterprise efficiency and measure consequences.

IBM has been moving its center of attention against utility and services as antagonistic to hardware and big Blue’s potent salary are a demonstration that this method is paying off in a large means. It’s now not surpising that business is continuing to invest in R&D in cloud computing and enterprise analytics, which seems to be the longer term for both huge Blue and different business-focused tech giants like Oracle.


united states : sensible energy Water and IBM signal Multi-year contract to velocity Innovation on the Cloud | killexams.com Real Questions and Pass4sure dumps

Feb 11, 2019 (Euclid Infotech Ltd by means of COMTEX) -- smart energy Water (SEW), a world power and water cloud platform company serving over a hundred and fifty+ utilities global, has signed a multi-million greenback settlement with IBM IBM, +1.14% to leverage the IBM Cloud for SEW platform global deployment over the subsequent 5 years.

through the new agreement, SEW will entry the flexibility and scalability of the IBM Cloud to give a standard international infrastructure for his or her business internet and cell functions. These workloads include customer engagement and cell team of workers engagement functions, online bill processing, energy effectivity and demand response applications, reward classes as well as equipment for precise-time records assortment and administration in the container. for example, a large scale energy business may flip to sew to installation its full digital consumer and body of workers engagement platform with IBM Cloud. SEW can now scale its capabilities faster, greater without difficulty and at international scale to help the business meet the fluctuating demand of its shoppers.

This contract comes as SEW appears to grow its enterprise and tap into advanced offerings like analytics, artificial Intelligence (AI), computing device gaining knowledge of and information superhighway of issues (IoT). by means of hosting these workloads on the IBM Cloud, SEW can profit extra value from its statistics and accelerate the building of recent tools that can aid increase efficiency and interact customers in new and personalized techniques.

The energy and utilities business is grappling with an growing old infrastructure, transforming into customer demand for cost effective, reliable and environmentally sustainable electricity, in addition to stringent govt mandates on power effectivity and water conservation. These challenges, coupled with the growing to be expectations of state-of-the-art tech-savvy patrons, have pushed a rapid want for exchange and are forcing many utilities to create new company structures and tap new technologies to solidify a aggressive advantage.

"buyers are open to new approaches of enticing with their utility," pointed out Harman Sandhu, President wise energy Water. "together with IBM, we are able to deliver solutions at enormous scale that assist utilities decrease the cost-to-serve by way of relocating valued clientele from the call middle to decrease-cost digital channels, customise provider to raise standard consumer delight, and target valued clientele for the appropriate alternatives for value-delivered classes and capabilities."

The SEW and IBM contract additionally gives a platform to collectively extend accretive and complementary go-to-market efforts globally.

"smart power Water is waiting for the important affect connected technologies can have on their purchasers company," referred to Brad Gammons, world managing director, IBM energy, atmosphere and Utilities. "with the aid of investing in information, their people can do their job more desirable than ever earlier than and shoppers could have entry to self-provider capabilities that can aid enrich client provider."

From managing renewables' fluctuating power ranges to bringing new efficiency tools to patrons, utility providers are more and more turning to hybrid multicloud solutions to help meet the demands of a extra sustainability-focused, digital society. TenneT power, Ista UK, and Hydro Ottawa have lately grew to become to the IBM Cloud to support them construct new consumer features, shop cash, and generate profits.


IBM Helps organizations display screen Their employees' safety with Watson IoT | killexams.com Real Questions and Pass4sure dumps

IBM Works with Garmin, Guardhat, Mitsufuji and SmartCone to identify potential hazards within the place of work

SAN FRANCISCO, Feb. 13, 2019 /PRNewswire/ -- IBM suppose -- IBM (NYSE: IBM) today announced foremost collaborations with Garmin health, Guardhat, Mitsufuji and SmartCone to video display worker protection in hazardous environments, together with these working in development, mining and factories, using IoT applied sciences, built-in into wearables. IBM's Maximo employee Insights will monitor biometric and environmental statistics to help identify even if employees are experiencing dangers or risk. information could be gathered in near real-time from wearables, wise contraptions and environmental sensors to assist corporations straight away respond to complications or react to changing environmental conditions.

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nowadays IBM introduced collaborations with Garmin, Guardhat, Mitsufuji and SmartCone to help agencies display screen their people’ protection with Watson IoT. source: IBM

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employees working in unexpectedly changing environments face moving conditions, even if on the factory ground, on the forklift, atop a cellphone tower or drilling into the earth. utilizing IoT to understand what people are doing within the context of the dynamic environment around them – together with heat, height, climate and fuel degrees – enables organizations to implement near true-time and prescriptive defense practices to support protect the health of people and which should aid them retain reduce assurance prices. 

For personnel, this new offering screens knowledge environmental threats to their protection and security as they work on the entrance lines.  For employers, the solution is designed to help them identify and respond to expertise dangers as a way to hold their body of workers safe. Nonfatal place of work accidents account for near $60 billion in laborers' compensation prices in the U.S. although protection controls and personal protecting gadget are obligatory in most hazardous jobs, this answer is designed to help organizations to identify and respond to issues or react to changing environmental circumstances. in fact, based on the Bureau of Labor statistics, nearly three million nonfatal occupational injuries had been recorded in 2017.

"employee protection is a important precedence for all organisations and this collaboration is a tremendous milestone in dramatically improving the style organizations identify and dispose of dangers within the office," noted Kareem Yusuf Ph.D., widespread supervisor, IBM Watson IoT. "we are thrilled to work with Garmin, Guardhat, Mitsufuji and SmartCone, and leverage their respective leadership and dedication to assist improve safeguard in the place of work," continued Dr. Yusuf.

"Garmin health is worked up to work with IBM Watson to modernize employee protection," noted Travis Johnson, global Product Lead, Garmin fitness. "Combining the powerful analytic capabilities of the IBM Watson IoT answer with the amazing sensor information and long battery life of Garmin contraptions creates an outstanding answer for remotely monitoring laborers with minimal person burden."

"The implementation of smart shielding equipment permits us to improved analyze office information and supply essential security insights in near true-time," said Saikat Dey, Guardhat Co-Founder and CEO. "via working with IBM, we're able to leverage Maximo worker Insights to carry smart security to scale within the development, manufacturing and refining industries."

"IBM Maximo employee Insights grants the near real-time insight that our clients deserve to tackle the defense of their workers," observed Ayumu Mitera, CEO, Mitsufuji. "we are excited to work with each IBM and our customers to advance the hamon answer extra. We see IBM as a helpful member of our group, no longer best providing potent web of things applied sciences, but additionally helping us identify new market alternatives around the globe."

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"we're delighted to work with a worldwide leader akin to IBM and combine IBM Maximo employee insight expertise into our platform," referred to Tenille Houston, VP Communications and marketing, SmartCone. "With the ever-evolving office, SmartCones' complete conclusion-to-conclusion solution combined with IBM's IoT expertise and advanced analytics provides the premier pairing to most beneficial meet trade wants."

Garmin health accomplice SDKGarmin, a global chief in wearable expertise, is teaming up with IBM to present companies who install the IBM Maximo worker Insights platform to acquire alerts in accordance with near precise-time sensor statistics from worker's wearing Garmin exercise trackers. by means of embedding the Garmin health partner SDK in the IBM Maximo worker Insights platform, supervisors and defense officers can acquire near true-time notifications for prime heart cost and man down scenarios, as well as evaluation historic analytics in line with the biometric signals from Garmin wearables.

Guardhat and its smart challenging hatsGuardhat's KYRA IoT platform integrates and enhances the IBM worker Insights answer to supply close true-time situational awareness to people and company operations by utilizing sensible PPE wearables. businesses can profit deeper realizing of the box condition and lift recognition within the corporation, to verify most excellent practices and techniques for possibility mitigation thereby managing or holding lower coverage charges.

Mitsufuji and its hamon® wearable shirtMitsufuji, a wearable platformer in Japan, has launched a brand new wearable "shirt" called hamon® to track IoT sensor records from employee's biometrics to support be certain protection and productiveness in excessive environments. The hamon® shirt, crafted from silver conductive fibers, collects a wearer's biometric information, including heart expense, body temperature and site, as well as environmental statistics reminiscent of humidity, temperature, noise and toxic gas degrees, together with using IBM Maximo employee Insights. by means of connecting to the IBM Maximo employee Insights solution on the IBM Cloud, this statistics can also be analyzed in close true-time, with indicators and alarms signaled on mobile gadgets to take a smash, change places, and so on., before overexertion or damage take place.

SmartCone and its totally portable systemSmartCone, a company of wise, IoT-based defense and monitoring solutions for securing susceptible and unsafe zones, gigantic and small, is working with IBM and integrating Maximo worker Insights into its incredibly moveable device to monitor employee safeguard within the utilities trade, neighborhood site visitors, construction, mining and industrial environments with moving or unhealthy no-go zones. utilising multi-sensors, audio/video, communication capabilities, computing and aspect gateway capabilities, TheSmartCone™ system combines with IBM Maximo worker Insights to give supervisors and defense officers with near real-time notification and old analytics on hazards concerning falls, "man-downs," no-go zones, excessive temperatures and greater. 

About IBM think  At feel 2019, IBM will define new offerings, client engagements, partnerships, technology breakthroughs and developer equipment that underscore how IBM and partners are changing the way the world works.  For greater assistance, seek advice from the IBM believe 2019 Newsroom: https://newsroom.ibm.com/believe. comply with the conference on Twitter at #think2019 and @ibmlive, and go to https://www.ibm.com/pursuits/suppose/ for the complete agenda and are living streaming agenda.

 

 

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Guardhat, this is no commonplace challenging hat

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hamon®-the extremely connective AGposs fiber collects biometric records from the wearer.

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CEO, Jason Lee, suggests just how portable theSmartCone™ will also be. (picture through Mark Holleron)

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IBM company logo. (PRNewsfoto/IBM)

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View normal content material to download multimedia:http://www.prnewswire.com/information-releases/ibm-helps-organizations-monitor-their-workers-safety-with-watson-iot-300794986.html


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IBM Smart Analytics Sales Mastery Test(R) v1

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Proposal – IBM blockchain to manage marijuana supply chain in British Columbia | killexams.com real questions and Pass4sure dumps

Bob Marley marijuanaProbably not a headline you ever thought you’d read on diginomica, but the times they are a changin’.  The idea is probably not as big a pot-pipe dream as it sounds.

Canada is in the process of legalizing marijuana by July 2018, fulfilling one of the key campaign promises of Prime Minister Justin Trudeau. Ottawa is leaving it up to provincial governments to regulate its legal sale and distribution.

When the government of British Columbia asked for feedback on the best way to manage its legal marijuana market, IBM quickly proffered a regulatory filing, arguing that the province should use the distributed ledger technology called blockchain to manage its legal marijuana market.

In the filing, the Armonk, NY-based software giant said:

IBM suggests Blockchain is an ideal mechanism in which BC can transparently capture the history of cannabis through the entire supply chain, ultimately ensuring consumer safety while exerting regulatory control – from seed to sale.

Blockchain is rapidly becoming a world leading technology enabling the assured exchange of value in both digital and tangible assets, while protecting privacy and eliminating fraud.  Blockchain offers a shared ledger that is updated and validated in real time with each network participant. It enables equal visibility of activities and reveals where an asset is at any point in time, who owns it and what condition it’s in.

As every schoolboy now knows, blockchains were originally conceived as a public, shared ledger that keeps track of payments in the Bitcoin network.

Bitcoin’s volatility has scared off a lot of potential mainstream adoption of blockchain as a payment network.

But companies quickly realized that the core concept of the blockchain could be repurposed for many other chains of custody applications, ranging from diamonds and tomatoes to global supply chains. Or, as in this case, the growth, distribution, sale, regulation, and taxing of your next favorite pastime substance.

Basically, a blockchain is nothing more than a distributed database that’s maintained by a peer-to-peer network of companies involved in almost any shared marketplace. Every company manages and maintains its own copy of the shared ledger.

In the case of British Columbia’s pot initiative, “each party in the business network” (growers, processors, distributors, retail locations, and regulators) would get its own ledger copy showing all transactions. The shared ledger would be accessible for anyone with the right credentials to see, allowing regulators to conduct spot audits of every marijuana transaction in the province.

Retailers could identify which farm a particular batch of marijuana came from and what safety inspections were conducted along the way. Reads the IBM pitch:

The Blockchain shared ledger is updated and validated in real time with each network participant. This enables equal visibility of activities and reveals where an asset/product is at any point in time, who owns it and what condition or state it is in. This type of transparency would bring a new level of visibility and control to the provincial regulators and provide assurance to the multitude of cautious stakeholders regarding the way the management of a cannabis supply chain is rolled out within British Columbia.

IBM’s brief proposal to the government of British Columbia identifies key benefits for each of the parties in a possible blockchain agreement:

BC Government: Blockchain can help the Provincial Government take control of sourcing, selling and pricing of products, therefore can reduce or eliminate black market sales completely.

Producers: Blockchain can assist producers with real-time inventory management, greater projections of supply and demand, and also elicit trends of consumption through data analytics.

Retailers: Although the Government of BC hasn’t confirmed what end-user distribution model will be used, we anticipate that it is likely that government itself will play a role in that process. An interconnected Blockchain network can assist retailers identify supply/demand gaps ways to mitigate those gaps, providing feedback mechanisms to producers, and use data to create predictive insights.

IBM has been promoting blockchain aggressively in recent months.  In March, the company released IBM Blockchain, which it says is the first enterprise-ready blockchain service based on the Linux Foundation’s open source Hyperledger project.

IBM’s blockchain services are designed to help developers create, deploy and manage blockchain networks on the IBM Cloud and a number of clients have already done so, ranging from the startup Everledger, which bills itself as the digital vault of the future, to financial services leaders like Bank of Tokyo-Mitsubishi UFJ, Postal Savings Bank of China and Northern Trust.

A blockchain approach to supply chain management has a number of useful business advantages. Transactions can be asynchronous—individual buyers and sellers can deal directly with each other.

The Hyperledger stack has cryptographic features that can limit one vendor from spying on another vendor’s transactions.  Hyperledger can also be combined with Internet-of-things technology, attaching a tracking device to products in transit and automatically generating data about their progress as they move through the supply chain.

Using its Watson IoT Platform, IBM makes it possible to use information from devices such as RFID-based locations, barcode-scan events, or device-reported data with IBM’s Blockchain. Devices will be able to communicate to blockchain-based ledgers to update or validate smart contracts.

Built to scale to thousands of users quickly, IBM says its cloud will allow production blockchain networks to be deployed in minutes, running signed, certified and tested Docker images with dashboards and analytics as well as support.

A blockchain is only as good as the security of its infrastructure and IBM has spent millions of dollars on teams of security experts, cryptographers, hardware experts, and researchers to make certain its blockchain and cloud services are tamper-resistant and free of back door vulnerabilities that allow unauthorized access.

With so much buzz about blockchain and so many projects underway at the moment, we’re about to find out whether the technology is the real thing or, in the case of BC, one toke over the line. I’m becoming a believer.

This just leaves me with two BIG questions – what would Bob Marley have said? Who gets to test the supply chain in the real world? Somehow I can’t see the Big Blue consultants out in the field, so to speak. 🙂

Image credit - public images


Exadata storage expansion frees bottlenecks, for a big cost | killexams.com real questions and Pass4sure dumps

The new Oracle Exadata storage expansion racks are aimed at reducing performance bottlenecks at the storage level, but one user says that adding all those storage cells could be a “pretty expensive proposition.”

Oracle announced the expansion racks today, which come in three configurations:

  • Full rack with 18 Oracle Exadata storage servers, up to 6.75 TB of Oracle Exadata Smart Flash cache, 432 TB of disk storage and 216 CPU cores for SQL processing in storage
  • Half rack with 9 storage servers, 3.4 TB of cache, 216 TB of disk and 108 CPUs
  • Quarter rack with 4 storage servers, 1.5 TB of cache, 96 TB of disk and 48 CPUs
  • “My first reaction is that I’d be concerned about the balance between compute nodes and storage nodes,” said the user, who runs two Exadata machines. He asked not to be named before he knew more about the product. “It seems most useful for folks who are storing large amounts of historical data or other data that can be easily partitioned, but the Exadata storage licenses make that a pretty expensive proposition.”

    The Oracle Exadata price list puts a full expansion rack at $750,000. That doesn’t include various premier support packages or storage server software licenses, which if included could bump the list price (before discounts) into seven figures just for the expansion rack alone.

    Alex Gorbachev, CTO of Oracle consulting firm The Pythian Group, sees the expansion pack as one way to improve storage-based performance bottlenecks.

    Exadata sales are big, big software deals that roll more and more perpetual maintenance fees into Oracle’s vast piles of cash.

    Oracle consultant

    “In the past you could have done this similarly by stacking more Exadata racks and throwing away the database servers in them, but you would have to pay for that hardware,” he said.

    Gorbachev said that as Exadata has evolved, first from V1 with Hewlett-Packard and then to Exadata V2 with x2-2 and then x2-8, CPU performance has increased at a much faster pace than storage. Since Exadata offloads a lot of processing to the storage level, storage performance is important, and so this expansion rack can help.

    Another Oracle consultant, who asked not to be named, said it seems Oracle is expanding the storage tier of Exadata primarily to compete more effectively with SAN mirroring as a disaster recovery (DR) option. Gorbachev didn’t see the DR improvements in this announcement as being that significant.

    The consultant added that customers should take a detailed look at the cost of adding Exadata storage, and he questioned whether the storage server software is worth the cost. He said customers may be able to add a mix of non-Oracle hardware, including InfiniBand and solid state drives, for “dimes on the dollar.”

    “Exadata sales are big, big software deals that roll more and more perpetual maintenance fees into Oracle’s vast piles of cash,” he said.


    OASIS: Refreshment for dehydrated secondary storage users? | killexams.com real questions and Pass4sure dumps

    Comment Cohesity has launched its all-embracing secondary storage offering on what looks like an embedded hyper-converged infrastructure appliance platform.

    We first learned about this startup's technology in June.

    The intent is to provide a kind of super-secondary storage repository covering the many different secondary storage use cases for which customers typically use several different systems. Cohesity says it saves customers CAPEX and OPEX costs associated with having different systems by converging them all onto its single system and avoiding capacity-based licensing.

    The Cohesity Data Platform uses a scale-out cluster architecture of from 4 to 40 nodes or blocks. Each block has four clustered servers in a 2U chassis with direct-attached disk and PCIe flash drives.

    There are two models in a C2000 product line. The C2300 offers 48TB of raw disk capacity and 3.2TB of PCIe flash storage (12TB and 800GB respectively per node). A C2500 has 96TB of disk and 6.4TB of flash (24TB and 1.6TB per node).

    A 40-node C2500 system would have 3.84PB of raw capacity and need at least two racks

    The operating system is OASIS, meaning Open Architecture for Scalable Intelligent Storage. OASIS data services include:

  • Data protection (backup and recovery) for virtualised environments through unlimited snapshots and thin cloning
  • DevOps support via clones from backup data
  • File services wth NFS and SMB support
  • Deduplication which is global and policy-driven
  • Analytics - built-in and programmable
  • Native analytics capabilities provide real-time metrics and forecasting
  • A Programmable Analytics Workbench runs custom queries against datasets
  • Analytics run in-place on the Cohesity cluster
  • Analytics are based on MapReduce
  • Cohesity C2000

    C2000 hardware blocks

    Analytics clearly need CPU cycles to run, when they run, and not when they don't. So what are those CPU cycles doing when analytics are not running? Unless Cohesity says otherwise they are sitting there idle, which would be a waste. If they are not sitting there idle then they are being used for storage tasks. Which leads to the question: how do you maintain storage performance when analytics are running? Is here some sort of quality of service functionality?

    Delphix and Actifio and Catalogic copy-reduction technologies now have a friend with OASIS's thin-cloning of files for developers.

    The system is designed, Cohesity says, to work with existing on-premises storage, so customers don't have to rip-and-replace any existing secondary storage systems. So it starts out in this case as yet another secondary storage silo, albeit one which can replace others. Only then would you start saving money.

    Customers can scale out one node at a time, Cohesity is calling this a pay-as-you-grow approach. It's apparent that, at the moment, you can't scale compute and storage separately. We would imagine there is some form of load-balancing so that when a node/block is added the overall workload is rebalanced to distribute the workload equally across the blocks. If there isn't then there should be.

    We asked Cohesity CEO Mohit Aron some questions about the points that intrigued us with this product launch.

    El Reg: Would you agree the scale-out hardware design looks like a hyper-converged infrastructure appliance dedicated to storage?

    Mohit Aron: Yes, we are taking advantage of the dense, standards-based servers that web-scale companies like Google, Amazon, etc have been popularizing. For me, it’s my third time around building distributed systems software designed for this type of hardware. The first time was pioneering this type of architecture with the Google File System at Google and the second time was adapting this for primary storage virtualization with the hyper converged architecture I built at Nutanix.

    That brought compute, networking and storage hardware together. Now I’m taking on a bigger problem in secondary storage in terms of the volume of data and types of workloads for data protection, DevOps, file services and analytics. Cohesity doesn't just converge hardware components, it also converges secondary storage workflows together.

    El Reg: How do you maintain storage performance when analytics are running? Is there some sort of quality of service functionality? Or are there dedicated analytics CPU resources which are idle when analytics are not running?

    Mohit Aron: Highly granular QoS is a fundamental feature in the platform, configurable on per workload process basis. We allow admins to allocate resources to particular workloads, e.g., analytics and backups, to isolate their performance from one other. This allocation, however, is work-conserving - which means that if they're not being used 100 per cent of the time, we'll reallocate those resources to other workloads.

    Our built-in storage analytics will provide useful statistics over time to guide customers in growing their Cohesity cluster to optimize for the unique mix of secondary storage workloads in their environment. We also provide policies that can be tuned per workload. For example, our deduplication functionality can be configured to be inline for backups, and post-process for test/dev workloads.

    El Reg: Will there be an HDFS connector added or some other way of linking to Hadoop-style data?

    Mohit Aron: Yes, support for HDFS and Apache Spark is in the works. Stay tuned.

    El Reg: How would you compare and contrast Cohesity's product ideas with those of Actifio, Delphix and Catalogic? I'm thinking of file copy reduction, for example, here.

    Mohit Aron: These vendors are tackling the data sprawl issue by focusing on one particular symptom, which is copies of that data for a particular use case, e.g. for databases with Delphix, or backup at Actifio. A key difference is that these products are added on top of your existing siloed storage products, and in the case of several of them, do not scale out to handle large data capacities in a simple to manage manner.

    Cohesity is looking at the root of the problem, which is why are those storage silos there in the first place when each system is not at 100 per cent utilization? With backup, this is particularly horrendous because a backup target just sits there idle as an insurance policy. We’ve designed the Cohesity Data Platform to be a storage architecture that is built to handle diverse workloads simultaneously and manage QoS accordingly, so you can run a backup stream, spin up clones for development, deliver file services and run analytics, all at the same time.

    It’s a combination of really smart distributed systems software and use of a hyper converged hardware platform with PCIe flash that enables this. We liken it to what’s happened with server consolidation. Cohesity delivers secondary storage consolidation to deliver new levels of efficiency and simplicity to your data centre.

    El Reg: How would you compare and contrast Cohesity's product ideas with those of Coho, which also does in array processing of storage system-level application functionality, such as video transcoding?

    Mohit Aron: The concept of running compute services closer to where the data is stored is definitely growing in popularity in primary storage as people realize they are producing way too much data to move around efficiently.

    We believe it makes more sense to run compute services such as analytics on secondary storage so that (a) These non-mission critical services do not contend with mission critical ones running in primary storage, (b) Secondary storage today is anyways idle and is being used only as an insurance policy - we improve utilization by using the idle compute cycles there to drive additional value to our customers, (c) Secondary storage contains far more data than primary storage.

    El Reg: It appears that you can't scale compute and storage separately? Is this a problem?

    Mohit Aron: Cohesity's software has been architected to deal with heterogeneous hardware. Thus, to scale compute, one needs to add compute heavy nodes in the cluster, and to scale storage, one can add more storage heavy nodes in the cluster. Today we have two hardware models with different storage capacities that can be mixed in the same cluster. Over time we will provide more options. Cohesity protects a customers’ investment because they only have to buy what they need when they need it, and grows with their needs over time.

    With such a potentially all-embracing system customers are obviously best advised to check its capabilities quite carefully. Get a C2000 data sheet here (pdf). The Analytics PDF data sheet is here.

    Cohesity's Data Platform is available now, at a starting price under $120,000. ®



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