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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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Big Data tools and technologies

Data Integration involves a number of sub processes that range from acquiring raw data to enriching the data before the data is used for consumption. There are many tools and technologies available that can sometimes be used independently or together to suit the specific business needs. These range from the packaged tools that natively operate on Big Data, to enabled technologies that let us develop tools that can work on our specific use case.

The following figure depicts the key aspects that are to be considered while choosing the right tools and technologies for Data Integration of structured data and unstructured data:

Big Data tools and technologies

The key considerations for choosing an Integration tool

Based on the preceding considerations and the associated trade-offs, you can choose a cloud-based Data Integration tool or an on-premise data Integration tool. The primary driver for making this choice is the cost associated for in-house deployment vs. pay-as-you-go benefits of SaaS models...

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