Data Lake for Enterprises
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 which 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 helps to derive useful information from not only the historical data but also correlates real-time data to enable business for taking critical decisions. This book tries to bring these two important aspects into one, namely data lake and lambda architecture.
Offered by
Difficulty Level
Intermediate
Completion Time
19h52m
Language
English
About Book
Who Is This Book For?
Java developers and architects who would like to implement a data lake for their enterprise will find this book useful. If you want to get hands-on experience with the Lambda Architecture and big data technologies by implementing a practical solution using these technologies, this book will also help you.
Data Lake for Enterprises
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 19h52m total length
Introduction to Data
Comprehensive Data Lake concepts
Lambda Architecture as a Pattern for Data Lake
Applied Lambda for Data Lake
Data Acquisition of Batch Date with Apache Sqoop
Data Acquisition of Stream Data with Apache Flume
Messaging Layer with Apache Kafka
Data Processing with Apache Flink
Data Storage using Apache Hadoop
Indexed Data Store
Data Lake components working together
Use case suggestions
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