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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 Paperback
Published in Nov 2015
Publisher
ISBN-13 9781785888083
Length 164 pages
Edition 1st Edition
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Architectural guidance

This section attempts to answer one key question: which tool should be used for which use case and how do we decide the best option?

As evidenced in the previous sections, there are a plethora of options available for establishing connectivity to External Data Sources and Ingesting data into the Data Lake's Intake Tier.

Choosing a tool for ingestion depends primarily on the use case you are attempting to implement using the Data Lake. Many implementations of Data Lake end up using multiple tools together to acquire and process data. We also see that the market is flooded with umpteen numbers of tools that make decision making very difficult.

In this section, we will try to provide a crisp overview of the things to be considered while selecting a tool. This is by no means an exhaustive coverage, but it tries to give you enough depth so that you will be in a decent position to extrapolate using this knowledge and make better decisions.

The choice of the tool invariably...

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