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Saurabh K. Gupta is a technology leader, published author, and database enthusiast with more than 11 years of industry experience in data architecture, engineering, development, and administration. Working as a Manager, Data & Analytics at GE Transportation, his focus lies with data lake analytics programs that build a digital solution for business stakeholders. In the past, he has worked extensively with Oracle database design and development, PaaS and IaaS cloud service models, consolidation, and in-memory technologies. He has authored two books on advanced PL/SQL for Oracle versions 11g and 12c. He is a frequent speaker at numerous conferences organized by the user community and technical institutions. He tweets at @saurabhkg and blogs at sbhoracle.wordpress.com.
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Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.07. Codice articolo G1484235215I4N00
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Paperback or Softback. Condizione: New. Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake 1.07. Book. Codice articolo BBS-9781484235218
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Da: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condizione: new. Paperback. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781484235218
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Paperback. Condizione: New. 1st ed. 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. Codice articolo LU-9781484235218
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