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Data Lake Development with Big Data

You're reading from   Data Lake Development with Big Data Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies

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Product type Book
Published in Nov 2015
Publisher
ISBN-13 9781785888083
Pages 164 pages
Edition 1st Edition
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Toc

Architectural guidance


As evidenced in the previous sections, there are a plethora of options available for Data Consumption; choosing the right tool depends primarily on the use case you are attempting to implement using the Data Lake. We also see that the market is flooded with umpteen tools that make decision making very difficult.

Data Discovery

We have seen, in the previous sections, that Data Lake exposes a queryable interface to data consumers to discover the data. Simple visualizations such as a histogram or tag cloud can provide an intuitive understanding of the data. The following figure depicts the key aspects that are to be considered while choosing the right tools and technologies for Data Discovery:

Key considerations for choosing a Data Discovery tool

Big Data tools and technologies

The following section takes you through an indicative list of Big Data tools and technologies that can be used for your specific use case.

Elasticsearch

Elasticsearch is a scalable search engine that...

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