Since its inception, its main charter has been to educate and inform CSCOs and supply chain strategy leaders on the top supply chain capabilities that are critical to both continuous improvement and innovation. All rights reserved.The Hype Cycle for Supply Chain Strategy has turned 6 this year. and internationally and is used herein with permission. Gartner and Hype Cycle are registered trademarks of Gartner, Inc. The Gartner document is available upon request from ChaosSearch. as part of a larger research document and should be evaluated in the context of the entire document. This graphic was published by Gartner, Inc. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner Hype Cycle for Data Management, 2021, Philip Russom, Donald Feinberg, 27th July 2021. It further adds, “Today’s data lake is on cloud, and it supports multiple analytics techniques (not just data science).” 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.Īccording to Gartner, “A data lake, when designed properly, can provision data for the diverse exploration requirements of multiple user types and use cases.”
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.
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. The report helps data and analytics leaders plan ahead and make informed decisions relative to emerging and maturing data management technologies.ĭid you think the data lake was dead? Think again. 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. Per Gartner, “Innovations continue to enter the field of data management every day. Gartner Hype Cycle for Data Management, 2021 November 12, 2021
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