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Data Management, Analytics & AI

  • The SaaS Data Protection Disconnect

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    Christophe Bertrand

    The broad adoption of cloud services as a source of and repository for business-critical data is placing the onus on data owners to deliver on data protection SLAs for data and applications that are hosted in the cloud. Concurrently, on-premises backup and disaster recovery workloads are leveraging cloud destinations, resulting in hybrid data protection topologies with varying service levels, end-user tradeoffs, and opportunities. How are IT organizations utilizing cloud services as part of their data protection strategy today?

    In order to get more insight into these trends, ESG surveyed 370 IT professionals at organizations in North America (US and Canada) responsible for data protection technology decisions for their organization, specifically around those data protection and production technologies that may leverage cloud services as part of the solution.

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  • Archiving On-premises Economics

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    Christophe Bertrand

    GettyImages-95769788ESG recently completed a very interesting Economic Validation report for a very interesting solution from iTernity. I normally don’t blog about all the reports we do but this one got my attention.   

    Our recent research on IT challenges and spending intentions for 2020 highlights that data growth, costs, skills shortages and operational efficiency are top challenges. Organizations need  solutions that allow them to retain data for compliance (sometimes for years). It’s a perfect storm: more data growth every year, the need to retain it for extended periods of time, and tighter budgets (I never hear of an unlimited IT budget!). Here’s the thing, while cloud is a great destination, archives that don’t necessarily have to reside in a public cloud can be cost-effective and operationally efficient.  

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  • Do you know what data you have? Titus can help

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    Christophe Bertrand

    dataAchieving compliance and meeting the newest data privacy requirements is pretty much like trying to hit a moving target. In the dark. At high speed. 

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  • Will Data Lakes Drown Enterprise Data Warehouses?

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    Mike Leone

    With the value of data continuing to increase, organizations are constantly looking for better and faster ways to store, access, and analyze it. While many organizations have existing technologies to help stream, collect, store, and analyze both structured and unstructured data, challenges remain that are preventing wider usage of analytics within these organizations. With a goal of consolidating infrastructure and operational silos to address a constantly growing data footprint, data lakes are increasingly becoming the technology of choice.

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  • Enterprise Data Warehouse Trends

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    Mike Leone

    Enterprise data warehouses (EDWs) have existed for about 20 years, serving as the foundation of insight-driven organizations, delivering timely analysis and reporting of structured data; handling large analytics workloads; and supporting the high levels of concurrency that organizations demand. But while EDWs have been a familiar presence in many organizations, as companies look to reduce their data center footprints, increase organizational agility, and incorporate as much data as possible into their analytics workflows, the architectural rigidity, complexity, and cost of traditional EDWs have paved the way for modern data warehouses to better respond to the dynamic needs of the business.

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  • Cloud-based Analytics

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    Mike Leone

    As organizations look for better ways to integrate, analyze, visualize, and leverage insights from constantly growing data sets, the rise of the cloud has garnered significant interest and traction in the analytics space. The cloud offers numerous enterprise-class attributes that make it more appealing than on-premises environments for organizations, whether they are looking to embrace a data-driven culture or align specific technology to a single line of business.

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  • Informatica Announces Innovations for AI-driven Data Management

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    Mike Leone

    Informatica, a leader in enterprise cloud data management, recently announced several enterprise data management enhancements across its unified, AI-powered Intelligent Data Platform to promote agility, efficiency, and productivity. Updates include next-generation analytics, an AI-powered data catalog, cloud and hybrid updates for AWS and MS Azure provisioning and autoscaling, data governance, privacy, 360 engagement, and a customer success portal.

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  • Cohesity Goes After The Decentralized Enterprise

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    Christophe Bertrand

    branch-locationMost enterprises have many decentralized locations and sometimes operate a model where there is no real “central” data center. Our research shows that these ROBO topologies are particularly sensitive to data protection challenges—for example, at organizations with many branches (retail, food chains, gas stations, etc.).

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  • Cloudera Machine Learning

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    Mike Leone

    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

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    Bill Lundell

    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

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    Christophe Bertrand

    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

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    Christophe Bertrand

    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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