Name: Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise big Data Lake (en Inglés)
Price: 51440.00 CLP
Availability: InStock
Author: Saurabh Gupta; Venkata Giri
ISBN: 9781484235218

portada Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise big Data Lake (en Inglés)

Formato

Libro Físico

Editorial

Apress

Autor

Saurabh Gupta; Venkata Giri

Año

2018

Idioma

Inglés

N° páginas

327

Encuadernación

Tapa Blanda

ISBN13

9781484235218

Categorías

Tecnología de la información

Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise big Data Lake (en Inglés)

Saurabh Gupta; Venkata Giri (Autor) · Apress · Tapa Blanda

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Reseña del libro "Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise big Data Lake (en Inglés)"

Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data. Starting from sourcing data into the Hadoop ecosystem, you will go through stages that can bring up tough questions such as data processing, data querying, and security. Concepts such as change data capture and data streaming are covered. The book takes an end-to-end solution approach in a data lake environment that includes data security, high availability, data processing, data streaming, and more.Each chapter includes application of a concept, code snippets, and use case demonstrations to provide you with a practical approach. You will learn the concept, scope, application, and starting point.What You'll LearnGet to know data lake architecture and design principlesImplement data capture and streaming strategiesImplement data processing strategies in HadoopUnderstand the data lake security framework and availability modelWho This Book Is ForBig data architects and solution architects