This report explores key trends in the popularization of Hadoop and strategies being employed to manage data lakes and make them more accessible. Companies have embraced the concept of the data lake or data hub that spans analytical and data-driven application need. However, gaps remain in the maturity and capability of the Hadoop stack, leaving organizations to struggle with how to ingest, cleanse, transform, discover, enrich, blend, catalog, and govern data in data lakes.
This report also examines the mix of tools available from Hadoop distributions and from next-generation and incumbent data management vendors. In particular, it looks at categories of tools and suites that not only abstract the complexities of Hadoop but also open up access to enterprise IT and business professionals.
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