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  • Book Overview & Buying Data Lake for Enterprises
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Data Lake for Enterprises

Data Lake for Enterprises

By : Mishra, John, Pankaj Misra
2.9 (8)
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Data Lake for Enterprises

Data Lake for Enterprises

2.9 (8)
By: Mishra, John, Pankaj Misra

Overview of this book

The term "Data Lake" has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights that can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it not only helps to derive useful information from historical data but also correlates real-time data to enable business to take critical decisions. This book tries to bring these two important aspects — data lake and lambda architecture—together. This book is divided into three main sections. The first introduces you to the concept of data lakes, the importance of data lakes in enterprises, and getting you up-to-speed with the Lambda architecture. The second section delves into the principal components of building a data lake using the Lambda architecture. It introduces you to popular big data technologies such as Apache Hadoop, Spark, Sqoop, Flume, and ElasticSearch. The third section is a highly practical demonstration of putting it all together, and shows you how an enterprise data lake can be implemented, along with several real-world use-cases. It also shows you how other peripheral components can be added to the lake to make it more efficient. By the end of this book, you will be able to choose the right big data technologies using the lambda architectural patterns to build your enterprise data lake.
Table of Contents (13 chapters)
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Data Lake Use Case Suggestions

It's quite exhausting to write a book spanning nearly 500 pages, and its quite a big challenge going through these pages to understand what the author has been trying t o explain. In doing so, you would also have to do the hands-on coding so that everything read can be put into action. Indeed, you need a great appreciation for coming this far, going through the pages and also getting your hands dirty in actually implementing a Data Lake, which is considered quite a challenge as it involves myriad technologies. Hats off! Thanks for staying with us through out the book! I hope you have enjoyed reading every page, as we enjoyed writing each one.

This chapter aims at introducing some of the well-known data lake uses in an enterprise. Many companies have this already in some form or other and some are in the process of creating one.

These use cases can be considered as a way by which...

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Data Lake for Enterprises
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