Data Lake for Enterprises
暫譯: 企業數據湖

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