Data Lake for Enterprises

A practical guide to implementing your enterprise data lake using Lambda Architecture as the baseKey FeaturesBuild a full-fledged data lake for your organization with popular big data technologies using the Lambda architecture as the baseDelve into the big data technologies required to meet modern day business strategiesA highly practical guide to implementing enterprise data lakes with lots of examples and real-world use-casesBook DescriptionThe 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.What you will learnBuild an enterprise-level data lake using the relevant big data technologiesUnderstand the core of the Lambda architecture and how to apply it in an enterpriseLearn the technical details around Sqoop and its functionalitiesIntegrate Kafka with Hadoop components to acquire enterprise dataUse flume with streaming technologies for stream-based processingUnderstand stream- based processing with reference to Apache Spark StreamingIncorporate Hadoop components and know the advantages they provide for enterprise data lakesBuild fast, streaming, and high-performance applications using ElasticSearchMake your data ingestion process consistent across various data formats with configurabilityProcess your data to derive intelligence using machine learning algorithmsWho this book is forJava 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.