Book Image

Data Lake Development with Big Data

By : Pradeep Pasupuleti, Beulah Salome Purra
Book Image

Data Lake Development with Big Data

By: Pradeep Pasupuleti, Beulah Salome Purra

Overview of this book

A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications. This book will guide readers (using best practices) in developing Data Lake's capabilities. It will focus on architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging. By the end of this book, you will have a good understanding of building a Data Lake for Big Data.
Table of Contents (13 chapters)

Understanding Data Governance

Let us now understand the definition of Data Governance; how it is critical in an enterprise handling Big Data and how it is different from traditional approaches.

Introduction to Data Governance

Data Governance is a set of formal processes that ensure that data within the enterprise meets the following expectations:

  • It is acquired from reliable sources

  • It meets predefined quality standards

  • It is fit for use for further processing

  • It conforms to well-defined business rules

  • It is defined and modified by the right person.

  • It follows a well-documented change control process

  • It is aligned to the organizational strategy

  • Its trustworthiness remains intact while data flows through various transformation cycles

As we can see from the preceding definition, Data Governance can be simply thought of as a discipline that an organization enforces on data as it flows from ingest to exhaust, making sure that it is not tampered in any way that is risky.

Data Governance is a key driver that...