Hadoop framework

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Hadoop framework News

August 08, 2018 08 Aug'18
Confluent Platform 5.0 aims to mainstream Kafka streaming

Confluent Platform updates seek to bring data streaming with Apache Kafka to a wider audience. A new GUI and user-defined functions are part of the 5.0 release.
July 25, 2018 25 Jul'18
Qlik-Podium acquisition aims to boost BI data management

With its acquisition of Podium Data, Qlik seeks to amplify its enterprise BI data management capabilities and raise the level of competition with Tableau and Power BI.
July 02, 2018 02 Jul'18
Hadoop data governance services surface in wake of GDPR

GDPR influence is touching a Hadoop big data world that was immune to many privacy considerations until now. This podcast features the rise of Hadoop data governance for data lakes.
June 25, 2018 25 Jun'18
Hadoop data lake architecture tests IT on data integration

Hortonworks users talk about building Hadoop data lakes to support new applications -- and the challenges their teams face on ingesting and refining data for end users.

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Hadoop framework Get Started

Bring yourself up to speed with our introductory content

Apache Hive

Apache Hive is an open source data warehouse system for querying and analyzing large data sets that are principally stored in Hadoop files. Continue Reading
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
Apache Hadoop YARN

Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework. Continue Reading

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Evaluate Hadoop framework Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

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

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
Why Spark DataFrame, lazy evaluation models outpace MapReduce

Learn how the Spark DataFrame execution plan works and why its lazy evaluation model helps the processing engine to avoid the performance issues inherent in Hadoop MapReduce. Continue Reading
Starburst finds new worlds to conquer with SQL query engine

Relational databases may have hit a wall of late, but the SQL query engine seems poised for wider growth. Starburst, a retro startup of sorts, is among those looking to take it wider still. Continue Reading

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Manage Hadoop framework

Learn to apply best practices and optimize your operations.

IT teams take big data security issues into their own hands

Data security needs to be addressed upfront in deployments of big data systems -- and users are likely to find they have to build some security capabilities themselves. Continue Reading
Data lake concept needs firm hand to pay big data dividends

Data lakes pose technology deployment and data management challenges that can leave analytics users high and dry if the implementation process isn't handled properly. Continue Reading
Expert: For BI, you must know the data integration process

Understanding the data integration process is central to self-service BI and data architecture design, consultant Rick Sherman says in an end-of-year look at data management trends. Continue Reading

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Problem Solve Hadoop framework Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

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
Seven steps to a successful data lake implementation

Flooding a Hadoop cluster with data that isn't organized and managed properly can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. 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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