Book Image

Data Lake for Enterprises

By : Vivek Mishra, Tomcy John, Pankaj Misra
Book Image

Data Lake for Enterprises

By: Vivek Mishra, Tomcy 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 (23 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback
Part 1 - Overview
Part 2 - Technical Building blocks of Data Lake
Part 3 - Bringing It All Together


As organizations have evolved over the last 40 to 50 years, they have slowly but steadily found ways and means to improve their operations by adding IT/software systems across their operating areas. It would not be surprising today to see more than 250+ applications in each of our Fortune 200 companies. This has also slowly caused another creeping problem as we evolve from our level of maturity to another; silos of systems that don’t interface well to each other.

As enterprises move from local optimization to enterprise optimization they have been leveraging some of the emerging technologies like Big Data systems to find ways and means by which they could bring data together from their disparate IT systems and fuse them together to find better means of driving efficiency and effectiveness improvement that could go a long way in helping enterprises save money.

Tomcy and Pankaj, with their vast experience in different functional and technical domains, have been working on finding better ways to fuse information from variety of applications within the organization. They have lived through the challenging journey of finding a ways to bring out changes (technological & cultural).

This book has been put together from the perspective of software engineers, architects and managers; so it’s very practical in nature as both of them have lived through various enterprise grade implementation that adds value to the enterprise.

Using future proof patterns and contemporary technology concepts like Data Lake help enterprises prepare themselves well for the future, but even more given them the ability to look across data that they have across different organizational silos and derive wisdom that’s typically lost in the blind spots.


Thomas Benjamin

CTO, GE Aviation Digital.