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Apache Hadoop Patterns of Use « Documents « Downloads

Date postedApril 8, 2013
Tagsbig data, apache hadoop, hadoop


This whitepaper considers patterns of Apache Hadoop use: Refine, Enrich, Explore.

As an organization laser focused on developing, distributing and supporting Apache Hadoop for enterprise customers, we have been fortunate to have a unique vantage point. The core team at Hortonworks includes the original architects, developers and operators of Apache Hadoop and its’ use at Yahoo, and through that experience they have been privileged to see Hadoop emerge as the technological underpinning for so many big data projects. That has allowed us to observe certain patterns that we’ve found greatly simplify the concepts associated with Hadoop, and our aim is to share some of those patterns here.

Hortonworks Data Platform
The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly enterprise grade having been built, tested and hardened with enterprise rigor.
Integrate with existing systems
Hortonworks maintains and works with an extensive partner ecosystem from broad enterprise platform vendors to specialized solutions and systems integrators.
Modern Data Architecture
Tackle the challenges of big data. Hadoop integrates with existing EDW, RDBMS and MPP systems to deliver lower cost, higher capacity infrastructure.

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