Artboard 33Artboard 16Artboard 18Artboard 13Artboard 42Artboard 21Artboard 4Artboard 5Artboard 45Artboard 22Artboard 7Artboard 42Artboard 23Artboard 12Artboard 28Artboard 17?Artboard 28Artboard 43Artboard 49Artboard 47Artboard 15Artboard 32Artboard 6Artboard 22Artboard 5Artboard 25Artboard 1Artboard 42Artboard 11Artboard 41Artboard 11Artboard 23Artboard 10Artboard 4Artboard 9Artboard 6Artboard 8Artboard 7Artboard 3Artboard 12Artboard 25Artboard 34Artboard 43Artboard 44Artboard 16Artboard 24Artboard 13Artboard 5Artboard 24Artboard 31Artboard 1Artboard 12Artboard 27Artboard 30Artboard 36Artboard 44Artboard 9Artboard 17Artboard 6Artboard 27Artboard 30Artboard 29Artboard 26Artboard 2Artboard 20Artboard 35Artboard 15Artboard 14Artboard 50Artboard 26Artboard 14Artboard 40Artboard 21Artboard 10Artboard 37Artboard 46Artboard 33Artboard 8

Data Lake for Enterprises (Cód: 9753622)

Pankaj Misra; Tomcy John

Packt Publishing

Ooops! Este produto não está mais a venda.
Mas não se preocupe, temos uma versão atualizada para você.

Ooopss! Este produto está fora de linha, mas temos outras opções para você.
Veja nossas sugestões abaixo!

R$ 61,04

em até 2x de R$ 30,52 sem juros


Em até 1x sem juros de

Cartão Saraiva:


Em até 2x sem juros de

Data Lake for Enterprises



A practical guide to implementing your enterprise data lake using Lambda Architecture as the baseAbout 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-casesWho 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.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 algorithmsIn DetailThe 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.Style and approachThe book takes a pragmatic approach, showing ways to leverage big data technologies and lambda architecture to build an enterprise-level data lake.


Peso 0.00 Kg
Produto sob encomenda Sim
Marca Packt Publishing
Número de Páginas 596 (aproximado)
Idioma 337
Acabamento e-book
Territorialidade Internacional
Formato Livro Digital Epub
Gratuito Não
Proteção Drm Sim
Tamanho do Arquivo 34000
Início da Venda 31/05/2017
Código do Formato Epub
Cód. Barras 9781787282650
Ano da Publicação 2017
AutorPankaj Misra; Tomcy John