Despite COVID-forced IT budget cuts last year, data warehouse and data lake modernization is on the rise, with 76% of respondents investing more in analytics infrastructure
Yellowbrick Data, the innovation leader in modern data warehousing, announced new survey results that show IT leaders want high performance, agility and security from their data warehouses, as they improve hybrid and multicloud cloud environments and move toward new distributed cloud patterns.
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“Investments in data warehouse and data lake modernization accelerated frantically as the pandemic progressed, and we expect to see that trend continue even as it ends”
More survey respondents (53%) chose hybrid or multicloud data warehousing as one of the most important data warehousing-related trends of this year, over any other trend. Nearly a majority (48%) said real-time analytics was one of the most important trends. And a surprising 28% cited edge analytics support — for IoT, mobile and factory-floor needs, among others — as one of the most important trends, revealing that a growing number of companies are already solving for advanced data warehousing use cases, some with data gravity and data sovereignty challenges. In these cases, distributed cloud that brings analytics to the data, rather than data to the analytics, is emerging as the optimal, logical pattern to yield the fastest insights and best business value.
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As enterprises migrate workloads to reap the benefits of public cloud and, hand-in-hand, look to modernize their data warehouses to build more flexible and efficient business intelligence systems, they are trying to better manage ever-increasing volumes of data, especially unused “dark data.” According to 451 Research, less than half of all data under management at the median company in 2020 was used for analytics, but by 2022 the volume of data used for analytics purposes is expected to rise by 91%. The new Yellowbrick survey indicates that data security, price/performance needs for business and investment in current and future tools are all concerns for enterprises.
Investment Booms in Data Warehouses, Data Lakes and Data Platforms
“Investments in data warehouse and data lake modernization accelerated frantically as the pandemic progressed, and we expect to see that trend continue even as it ends,” said Justin Kestelyn, VP product marketing at Yellowbrick Data. “And clearly, hybrid cloud and multicloud adoption are becoming popular requirements on the modernization checklist.”
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More than half (57%) of survey respondents said their IT budget has returned to pre-COVID spending levels. A strong majority (76%) said that they are currently investing more in analytics infrastructure, such as data platforms and data warehouses, in this climate of uncertainty. When it comes to the highest analytics-related IT budget priorities for 2021, respondents cited multiple priorities, including:
- Data warehouse modernization, including cloud journeys — 53%
- Support for real-time analytics — 49%
- Getting more analytics value from a data lake — 40%
- IoT analytics — 34%
Enterprises Want Performance, Agility and Security with Modernization
For many enterprises, data warehouse modernization starts with moving to public cloud deployments. Survey respondents who either recently moved a data warehouse to the public cloud or are doing so in 2021 cited an array of reasons. But the top two, by far, were increasing overall data warehouse performance (31%) and improving agility for faster innovation (28%). When it came specifically to data lakes, which serve as reservoirs for semi-structured and unstructured data, almost all survey respondents (97%) are actively working to improve data lake analytics performance.
“Data warehouse modernization is about improving price/performance for customers, providing them with the fastest possible analytics and insights where and when they’re needed, and always keeping data secure and nimble for them,” added Kestelyn. “This is happening through the new pattern of distributed cloud. An emerging view on the power of distributed cloud holds that data and infrastructure are scattered by design; it’s a feature, not a bug. What that requires is a consistent platform for data warehouses that can be deployed anywhere and managed as if they were a single, logical cloud.”
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