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Title : [PDF Online] Data Lake Development with Big Data Read Online isbn : 1785888080

Book Synopsis 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 d

Related GDPR: Guiding Your Business To Compliance: A practical guide to meeting GDPR regulations. Big Data: Principles and best practices of scalable realtime data systems Data Lake Architecture: Designing the Data Lake and Avoiding the Garbage Dump Hadoop: The Definitive Guide IT Governance: An International Guide to Data Security and ISO27001/ISO27002 Amazon Web Services in Action Multi-Domain Master Data Management: Advanced MDM and Data Governance in Practice Enterprise Data Architecture: How to Navigate its landscape The Digital Transformation Playbook: Rethink Your Business for the Digital Age (Columbia Business School

Publishing) The Fintech Book - the Financial Technology Handbook for Investors, Entrepreneurs and Visionaries

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Book synopsis. Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data ...

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data and deliver it to multiple applications and systems with a high degree of ... reader will need a good knowledge of master data management, information ...