Data Management, Analytics & AI

  • Cloudera Machine Learning

    Organizations are turning to AI technologies to enhance their data analytics capabilities and address the real-time needs of the business through faster, more accurate predictive insights. But between skills gaps, limited collaboration, and ineffective or minimally available tooling, organizations are looking for help. Cloudera has introduced Cloudera Machine Learning as the next evolution of their proven Cloudera Data Science Workbench to provide organizations with the help they need to achieve success in leapfrogging the competition using AI.

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  • 2020 Technology Spending Intentions Survey

    In order to assess technology spending priorities over the next 12-18 months, ESG recently surveyed 658 IT professionals representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America and Western Europe. All respondents were personally responsible for or familiar with their organizations’ 2019 IT spending as well as their 2020 IT budget and spending plans at either an entire organization level or at a business unit/division/branch level.

    Survey participants represented a wide range of industries including manufacturing, financial services, healthcare, communications and media, retail, government, and business services.

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  • Veeam Has its Sights on the Enterprise Segment with New V10

    GettyImages-865301210Version 10 is going GA with the usual fanfare that great marketing companies such as Veeam know how to orchestrate, but it’s different this time. Something is changing.

    In the past, and despite our most respectful recriminations, Veeam would pre-announce new versions and sometimes over-hype their capabilities. Hard to stop the Veeam marketing machine when it’s in launch mode!! I have seen it both on the vendor side as a competitor (with secret admiration) and on the analyst side at ESG.

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  • The Evolution from Data Backup to Data Intelligence

    A chasm exists between traditional “dumb” data backup, in which data is only moved around but not leveraged to drive or support business outcomes, and data management, in which data is better understood and reused for other technical or business purposes. The data protection space is undergoing a fundamental shift from traditional backup and recovery with the emergence of more autonomous AI-based solutions.

    In order to understand how this confluence of changes is creating a dichotomy between currently available solutions and end-users’ desired data protection state in the next few years, ESG surveyed 359 IT professionals at organizations in North America (US and Canada) responsible for data protection technology decisions for their organization.

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  • The Tape Renaissance and Ransomware

    ransomware-protectionIn my predictions for 2020, I highlighted that tape is not going away any time soon. It’s actually experiencing a renewal as it has become quite obvious to a whole new generation of IT professionals that it is a great medium for high-capacity and low-cost storage. 

    While the traditional use case of backup and recovery suffered in the past from recovery performance limitations compared to disk, other use cases have recently emerged. Large-scale archiving of course but also cold cloud storage, which is really large-scale archiving behind a cloud service interface and consumption model. Yes…tape actually powers a whole bunch of storage cloud services! Capacity, automation, and low cost make it possible.

    Modern devices that integrate fast “cache” layers and the ability to leverage easy and friendly user and file system interfaces now make it a lot easier to “plug” tape into an environment without having to hire a PhD in “tapeology.” In combination with specialized high performance devices, mass producers of data can leverage high-performance (memory and disk-based) devices for production, and high-performance/large-capacity tape devices for storage. The media space is a good example. 

    A couple of tape vendors have recently announced initiatives and/or new products that help address parts of the gigantic ransomware issue. It should come as no surprise: Tape can easily be put off-line, air-gapping the data from the main network and the outside world—and by that I mean the nefarious actors that might corrupt the data to extort a ransom. It’s a great solution that can help improve compliance levels, and provide a “gold” copy type and isolated recovery capability. Some ransomware attacks can corrupt backups—sometimes specifically targeting the backup systems—so everyone should have an air-gapped gold copy mechanism in place. With modern devices and many integrations into the ecosystem, recovery can be accelerated (compared to the good old days) should it be necessary. I recently wrote a paper on the topic for HPE.  

    As I said, tape is not going away any time soon… 🙂

  • Veeam Acquisition: The Net Net

    GettyImages-1167819372020 started with a bang in the data protection space with the announcement of the acquisition of Veeam by Private Equity firm Insight Partners. Insight Partners is no stranger to the space, having invested in Acronis, as well. In this short blog, I am going to net out my views on this acquisition.  

    It’s great news for the market! Let’s be clear, the backup and recovery space is hot and growing, but it is yesterday’s market. It is evolving into something else, which I have coined the data intelligence market, an evolution of backup and recovery that places data and data reuse at the heart of the enterprise. Whether enabling digital transformation or leveraging “dark” or dormant data, the idea is to leverage data assets. This acquisition is about the next stage of the market.

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  • The Evolution from Data Backup to Data Intelligence

    ESG conducted a comprehensive online survey of IT and data protection professionals at private- and public-sector organizations in North America (US and Canada) between June 28, 2019 and July 21, 2019. To qualify for this survey, respondents were required to be IT decision makers currently responsible for or familiar with their organizations’ production storage and data protection mechanisms, as well as their organization’s approaches to facilitating data usage by primary and secondary beneficiaries.

    This Master Survey Results presentation focuses on the transition from traditional data backup processes to data management strategies in which data is better understood and reused for other technical or business purposes.

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  • 2020 Technology Spending Intentions Survey

    ESG conducted a comprehensive online survey of IT professionals from private- and public-sector organizations in North America (United States and Canada) and Western Europe (UK, France, and Germany) between October 31, 2019 and November 26, 2019. To qualify for this survey, respondents were required to be senior IT professionals familiar and involved with their organization’s overall 2020 IT budget and spending plans. All respondents were provided an incentive to complete the survey in the form of cash awards and/or cash equivalents.

    This Master Survey Results presentation focuses on 2020 IT budget expectations, technology initiatives and priorities, year-over-year spending change (overall and by different technologies), hiring/staffing challenges, and cloud adoption/usage trends.

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  • The CCPA is here. What does it mean for AI?

    GettyImages-1179285892As of January 1st, the California Consumer Privacy Act is now in effect. The CCPA lets anyone in California request all the information a company has on them as a consumer, including what data has been sold to /accessed by other companies. And when it comes to penalties, if a company is notified of being out of compliance (i.e., unable to provide all the data of their consumers), they have 30 days to comply or they will get fined per record. And that “per record” component is important because it highlights how quickly a fine could balloon into billions of dollars in fines. The interesting component of this is that if a company doesn’t comply, it opens companies to face class action lawsuits from consumers.

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  • Actifio Triples Down on Modern Intelligent Data Management

    intelligent-data-managementActifio just announced a new version of its platform, Actifio 10C, and it comes with a bunch of goodies just in time for year-end festivities. The version numbering itself reveals a triumvirate of themes around the letter C: cloud, containers, and copy data. While the first too are critical in supporting the “how to” or “where,” the third (copy data) is really about the ability to further leverage data assets, an area in which I believe Actifio has done better than others. 

    This new version does reinforce the key capabilities that have made Actifio successful, which is data protection/recovery at scale. Scale is everything for enterprises, and it requires performance and flexibility. Our research shows data protection is not only moving to the cloud, it is expected to be as efficient as possible (achieving strict RPOs and RTOs) and cost-optimized. Recovery is critical for successful cloud-based data protection. In this version, there are many cloud-related improvements such as one-click multi-cloud orchestration and restore (automated DR at scale), and advances in leveraging object storage (more performance at a fraction of the cost) with intelligent caching including direct S3-compatible object storage recovery. Net net: faster, at scale, and cost-effective recovery in multi-cloud.  

    Our research also shows that cloud will play an increasingly important role in intelligent data management or data reuse, which is not that surprising given the significant advances and services cloud providers offer today. Cloud tops the list of intelligent data management topologies. 

    In 10c, Actifio adds rapid cloning of databases to containers to accelerate application test and release cycles. In essence, end-users can reuse backups backups to instantly clone multi-Terabyte databases leveraging Kubernetes-managed containers. The benefit is obvious: one data set can be leveraged across multiple test instances and only changes get stored. I am tempted to call it “parallelized data reuse.” It’s also self service, which means a QA team, for example, will be autonomous, and not depend on other parts of IT. Cost optimizations therefore occur in 2 areas:  storage and operational efficiencies. Business optimization should stem from the ability for developers or QA teams to do their job better and faster, which helps the top and bottom lines.  Actifio also integrates with Dev/Ops leading tools.  

    Data reuse generates broad business benefits. Our most recent research highlighted the main areas in which organizations that implement secondary data reuse, or intelligent data management, can benefit. We believe that data reuse is critical to lower business risk and to foster business growth and expansion. Stay tuned for more on this topic in January. Version 10C adds wizards for mission-critical databases like SAP HANA/ASE/MaxDB, Oracle, Oracle EBS, MS SQL, Db2, and other enterprise databases with incremental-forever application-consistent backup, instant recovery, and rapid database cloning for test/dev anywhere (on-premises or in AWS, Azure, GCP, and IBM Cloud). 

    With this new release Actifio is well positioned to capture more business and further its market presence as the “Go”-to (pun intended) intelligent data management platform. Our research shows that intelligent data management (heavily predicated on data reuse) is where the backup and recovery market is going. It looks as though Actifio is going there faster than others. 

  • Intel Acquires Habana Labs for $2 Billion

    Intel-acquiring-Habana-LabsFor the last few years, the processing space has been red hot. Between startups and mainstay chip vendors, it’s an ongoing arms race to address the specialized needs of modern workloads and applications in core data centers, at the edge, and in the public cloud. In fact, when ESG asked respondents to cite the aspects across the entire data pipeline that are most frequently responsible for causing delays, the top response was data processing. Organizations want speed, reliability, and cost effectiveness. And to get there, it’s forcing organizations to rethink their approach to computing, especially with the rapid adoption of AI technologies fueling the booming compute market.

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  • CCPA Is Coming…Part 2

    data-regulationThe California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. Often compared to GDPR, CCPA protects consumers from mismanagement of their personal data and gives consumer control over what data is collected, processed, shared, or sold by companies doing business in California. I recently chatted with my friends and colleagues Dave Littman from TruthInIT and Steve Catanzano, Senior Consultant at ESG. 

    You can find our video chat here.

    Focusing on the impact of this act on companies’ infrastructure, their storage, their data protection, and their archiving, it is clear that this is a regulation that forces companies to really start thinking more about their data and reusing that data as well.

    In the video, Stephen Catanzano explains, “Data reuse is important. Things like encryption, data masking, all these tools that exist today are tools that companies need to start taking very seriously to protect consumers data. And this should have a major impact on the amount of data that they store, where the data is, creating a whole level of intelligence around their resources that they have in place, and making sure that they meet these compliance…

    CCPA is something that is hitting home in the California market. We think it’s going to extend into other markets as well. So really focusing on data management, data intelligence is going to help companies in meeting this regulation as well as being more efficient within organizations.”

    I add, “In order to do business with California, you are going to have to be compliant. It’s the fifth economy or sixth economy in a world…It’s going to make it even more obvious for those organizations that do not necessarily deal in a lot of international business when it comes to the collection of data. It’s very restrictive and it has some fines. I think it’s $750 per incident per user. So if you have millions of consumers and you’ve done something wrong and you’ve been somehow you’ve exposed that data and it’s considered to be non-compliant, you can do the math. It’s going to be pretty, pretty bad.”

    So we know the players in the data protection space, in the archiving space, and in the storage space. As the technology stands right now, are those features and functions there to comply? Or is it going to be that these vendors are going to have to produce new features and functions to enable their customers to comply? 

    In closing, Stephen Catanzano sums this idea up: “It’s vendor specific. Many of the vendors have gotten ahead of this already, especially with GDPR and they understand what tools need to be in place and what the process needs to be to comply. It’s up to the customers to be using those tools effectively. And so they do exist, it is just a matter of policies and procedures that you need to put in place. One example is companies have the right or individuals will have the right to ask their data to be deleted. And that’s a complicated problem. If you don’t have all your day and organized and you know that you can go to your primary data, your backup data, your dev/ops, storage, everything else and remove that data, then you’re not in compliance with the regulations. That is when you get the fines as well. So people need to know. People can ask where the data is. They can ask how you’re storing it, how are you managing, why you have it, you need to respond very quickly. And then if they say you’re holding it inappropriately or you shouldn’t have my data, then they can ask for it to be removed. That’s a big challenge for IT.”

    For more information on CCPA, check out our complimentary brief.