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8 Worst Practices in MDM and How You Can Avoid Them

Master data management (MDM) depends on the alignment and partnership between business and IT because both groups are responsible for improving data quality, accuracy, and streamlining data sharing across the enterprise. To help your organization along the journey to a successful MDM program, here are 8 worst practices in MDM and how you can avoid them.

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Hadoop framework News

September 25, 2019 25 Sep'19
Cloudera Data Platform gives big data users multi-cloud path

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 05 Sep'19
Cloudera Data Platform to debut, as big data fortunes waver

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 06 Aug'19
HPE buys MapR assets to fuel AI applications

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.
July 26, 2019 26 Jul'19
Cloudera open source route seeks to keep big data alive

Inspired by the IBM-Red Hat model, Cloudera goes the open source route to broaden its market as demand for Hadoop weakens and the vendor takes on big competitors like AWS.

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Hadoop framework Get Started

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Hadoop

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

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
Big data containers gain wider appeal in system deployments

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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Evaluate Hadoop framework Vendors & Products

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Data warehouse vs. data lake vs. data mart: Beyond the RDBMS

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
10 Apache Kafka best practices for data management pros

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
Container technologies promise more agility for big data apps

Along with the ability to provide greater agility and flexibility for big data applications, containers can play a role in IT strategy that drives real-time decision-making. Continue Reading

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Data management trends for 2019: Governance, DataOps, cloud

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
Big data platform broadens place in analytics architecture

Big data platforms stumbled a bit getting out of the prototyping stage. But a view from the Strata Data Conference in New York sees broader use in the offing. Continue Reading
Mining equipment maker uses BI on Hadoop to dig for data

BI on Hadoop is still new, but moving BI to data is trending. A data scientist working with IoT data at Komatsu sees the importance of getting big data to the right people. Continue Reading

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7 steps to a successful data lake implementation

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
Kubernetes container orchestration gets big data star turn

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
Panera meets big data challenge of lunchtime operations

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

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