Details zum E-Book

Data Lake for Enterprises. Lambda Architecture for building enterprise data systems

Data Lake for Enterprises. Lambda Architecture for building enterprise data systems

Vivek Mishra, Tomcy John, Pankaj Misra

E-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.
  • 1. Introduction to Data
  • 2. Comprehensive Data Lake concepts
  • 3. Lambda Architecture as a Pattern for Data Lake
  • 4. Applied Lambda for Data Lake
  • 5. Data Acquisition of Batch Date with Apache Sqoop
  • 6. Data Acquisition of Stream Data with Apache Flume
  • 7. Messaging Layer with Apache Kafka
  • 8. Data Processing with Apache Flink
  • 9. Data Storage using Apache Hadoop
  • 10. Indexed Data Store
  • 11. Data Lake components working together
  • 12. Use case suggestions
  • Titel: Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
  • Autor: Vivek Mishra, Tomcy John, Pankaj Misra
  • Originaler Titel: Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
  • ISBN: 9781787282650, 9781787282650
  • Veröffentlichungsdatum: 2017-05-31
  • Format: E-book
  • Artikelkennung: e_15kn
  • Verleger: Packt Publishing