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Hadoop framework News
January 14, 2020
Cloudera finds a new leader, pulling the former CEO of Hortonworks back into the fold to help set the direction for the big data Hadoop vendor as it moves forward in 2020.
September 25, 2019
Cloudera released a big data platform combining its technologies and ones from Hortonworks, initially in the AWS cloud but with multi-cloud support to come.
September 05, 2019
The interim CEO of Cloudera is cautiously optimistic about growth prospects as the big data vendor acquired Arcadia Data and planned to bolster its own cloud platform.
August 06, 2019
Longtime independent big data vendor MapR goes out of business, selling technology and intellectual property to HPE. The move marks the continuing decline of the Hadoop market.
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Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems. Continue Reading
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make... Continue Reading
This handbook examines the use of Docker containers in Kubernetes clusters to run big data systems and offers insight on container deployment and management issues. Continue Reading
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The latest release of the Apache Kafka open source event streaming platform adds improved replication and availability capabilities to help boost overall performance. Continue Reading
There are many ways to store big data, but the choice of data warehouse vs. data lake vs. data mart comes down to who uses the data and how. Use this cheat sheet to compare. Continue Reading
How can data management teams most effectively deploy and use Apache Kafka in data pipelines and streaming applications? Here are some key guidelines to follow. Continue Reading
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On premises or in the cloud: What's the better place for your data lake? Here are some things to consider before deciding where to deploy a data lake. Continue Reading
Many organizations are switching to cloud databases and big data platforms. But understanding what option best meets your data needs is an important first step. Continue Reading
Better data governance, increased cloud use and wider DataOps adoption head the list of trends for data management teams to plan for in 2019, IT analysts say. Continue Reading
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Flooding a Hadoop cluster with data that isn't well organized and managed can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
The new thing in big data is Kubernetes container orchestration. While it's still early, there are signs of activity, which are cited in this edition of the Talking Data podcast. Continue Reading
In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies. Continue Reading