Data Lake Development with Big Data
(Paperback)

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Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies About This Book * Comprehend the intricacies of architecting a Data Lake and build a data strategy around your current data architecture * Efficiently manage vast amounts of data and deliver it to multiple applications and systems with a high degree of performance and scalability * Packed with industry best practices and use-case scenarios to get you up-and-running Who This Book Is For This book is for architects and senior managers who are responsible for building a strategy around their current data architecture, helping them identify the need for a Data Lake implementation in an enterprise context. The reader will need a good knowledge of master data management, information lifecycle management, data governance, data product design, data engineering, and systems architecture. Also required is experience of Big Data technologies such as Hadoop, Spark, Splunk, and Storm. What You Will Learn * Identify the need for a Data Lake in your enterprise context and learn to architect a Data Lake * Learn to build various tiers of a Data Lake, such as data intake, management, consumption, and governance, with a focus on practical implementation scenarios * Find out the key considerations to be taken into account while building each tier of the Data Lake * Understand Hadoop-oriented data transfer mechanism to ingest data in batch, micro-batch, and real-time modes * Explore various data integration needs and learn how to perform data enrichment and data transformations using Big Data technologies * Enable data discovery on the Data Lake to allow users to discover the data * Discover how data is packaged and provisioned for consumption * Comprehend the importance of including data governance disciplines while building a Data Lake In Detail A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. It eliminates the need for up-front modeling and rigid data structures by allowing schema-less writes. Data Lakes make it possible to ask complex far-reaching questions to find out hidden data patterns and relationships. This book explores the potential of Data Lakes and explores architectural approaches to building data lakes that ingest, index, manage, and analyze massive amounts of data using batch and real-time processing frameworks. It guides you on how to go about building a Data Lake that is managed by Hadoop and accessed as required by other Big Data applications such as Spark, Storm, Hive, and so on, to create an environment in which data from different sources can be meaningfully brought together and analyzed. Data Lakes can be viewed as having three capabilities-intake, management, and consumption. This book will take readers through each of these processes of developing a Data Lake and guide them (using best practices) in developing these capabilities. It will also explore often ignored, yet crucial considerations while building Data Lakes, with the focus on how to architect data governance, security, data quality, data lineage tracking, metadata management, and semantic data tagging. By the end of this book, you will have a good understanding of building a Data Lake for Big Data. You will be able to utilize Data Lakes for efficient and easy data processing and analytics. Style and approach Data Lake Development with Big Data provides architectural approaches to building a Data Lake. It follows a use case-based approach where practical implementation scenarios of each key component are explained. It also helps you understand how these use cases are implemented in a Data Lake. The chapters are organized in a way that mimics the sequential data flow evidenced in a Data Lake.

AuthorPradeep Pasupuleti
BindingPaperback
EAN9781785888083
FormatImport
ISBN1785888080
Height925 mm
Length750 mm
Width37 mm
Weight65 g
LanguageEnglish
Language TypePublished
MPNblack & white illustrations
Number Of Items1
Number Of Pages164
Part Numberblack & white illustrations
Product GroupBook
Publication Date2015-11-26
PublisherPackt Publishing Limited
StudioPackt Publishing Limited
Sales Rank47700

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General information about Data Lake Development with Big Data
  • The author associated with Data Lake Development with Big Data is Pradeep Pasupuleti.
  • The EAN for Data Lake Development with Big Data is 9781785888083.
  • The format for Data Lake Development with Big Data is Import.
  • The ISBN for Data Lake Development with Big Data is 1785888080.
  • The height for Data Lake Development with Big Data is 925 mm.
  • The length for Data Lake Development with Big Data is 750 mm.
  • The width for Data Lake Development with Big Data is 37 mm.
  • The weight for Data Lake Development with Big Data is 65 g.
  • The language for Data Lake Development with Big Data is English.
  • The MPN (Manufacturer's part number) for Data Lake Development with Big Data is black & white illustrations.
  • The binding of Data Lake Development with Big Data is Paperback.
  • The number of items for Data Lake Development with Big Data is 1.
  • The number of pages for Data Lake Development with Big Data are 164.
  • The part number for Data Lake Development with Big Data is black & white illustrations.
  • Data Lake Development with Big Data is grouped in Book group of products.
  • The publication date for Data Lake Development with Big Data is 2015-11-26.
  • The publisher for Data Lake Development with Big Data is Packt Publishing Limited.
  • The producer for Data Lake Development with Big Data is Packt Publishing Limited.
  • The sales rank for Data Lake Development with Big Data is 47700.
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