Per Gartner, ”Innovations continue to enter the field of data management every day. Their potential benefits are numerous, but challenging to understand and track.” The Gartner Hype Cycle for Data Management, 2021, assesses more than 30 different categories of data management technologies -- including data lakes, multi-model DBMS, and logical data warehouses -- based on their business benefit and years to mainstream adoption and maturity.
The report helps data and analytics leaders plan ahead and make informed decisions relative to emerging and maturing data management technologies.
Many data and analytics leaders have become disillusioned with the idea of the data lake after seeing it rise and fall since its inception in 2010. But unlike the initial data lakes which were built on Apache Hadoop and struggled to provide value, today’s data lakes are built on cloud object storage and can be activated to support multi-dimensional analytics use cases including full text search, relational queries, and machine learning.
Gartner Hype Cycle for Data Management, 2021 reveals that data lake technologies are now poised to exit the Trough of Disillusionment and enter the Slope of Enlightenment.
According to Gartner, “A data lake, when designed properly, can provision data for the diverse exploration requirements of multiple user types and use cases.”
It further adds, “Today’s data lake is on cloud, and it supports multiple analytics techniques (not just data science).”
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