Data Lake for Enterprises-Pankaj Misra PDF Download

A practical guide to implementing your enterprise data lake using Lambda Architecture as the base About This Book "¢ Build a full-fledged data lake for your organization with popular big data technologies using the Lambda architecture as the base "¢ Delve into the big data technologies required to meet modern day business strategies "¢ A highly practical guide to implementing enterprise data lakes with lots of examples and real-world use-cases Who This Book Is 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. What You Will Learn "¢ Build an enterprise-level data lake using the relevant big data technologies "¢ Understand the core of the Lambda architecture and how to apply it in an enterprise "¢ Learn the technical details around Sqoop and its functionalities "¢ Integrate Kafka with Hadoop components to acquire enterprise data "¢ Use flume with streaming technologies for stream-based processing "¢ Understand stream- based processing with reference to Apache Spark Streaming "¢ Incorporate Hadoop components and know the advantages they provide for enterprise data lakes "¢ Build fast, streaming, and high-performance applications using ElasticSearch "¢ Make your data ingestion process consistent across various data formats with configurability "¢ Process your data to derive intelligence using machine learning algorithms In Detail 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