Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence)

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9780124058910: Data Warehousing in the Age of Big Data (The Morgan Kaufmann Series on Business Intelligence)

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse.

As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data–ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory.

Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.

  • Learn how to leverage Big Data by effectively integrating it into your data warehouse.
  • Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies
  • Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

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From the Back Cover:

Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing Data Warehouse. As Big Data continues to revolutionize how we use data, it doesn’t have to create more confusion. Expert author, Krish Krishnan will help you make sense of how Big Data fits into the world of Data Warehousing in clear and concise detail. You’ll learn what you need to know about your infrastructure options and integration and come away with a solid understanding of how to leverage various architectures for integration. This book includes several business use cases that will really help you visualize reference architectures on Big Data and Data Warehouse.

About the Author:

Krish Krishnan is a recognized expert worldwide in the strategy, architecture and implementation of high performance data warehousing solutions and unstructured Data. A sought after visionary data warehouse thought leader and practitioner, he is ranked as one of the top strategy and architecture consultants in the world in this subject. Krish is also an independent analyst, and a speaker at various conferences around the world on Big Data and teaches at TDWI on this subject. Krish along with other experts is helping drive the industry maturity on the next generation of data warehousing, focusing on Big Data, Semantic Technologies, Crowdsourcing, Analytics, and Platform Engineering.

Krish is the founder president of Sixth Sense Advisors Inc., a Chicago based company providing Independent Analyst services in Big Data, Analytics, Data Warehouse and Business Intelligence.

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Krish Krishnan
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2013)
ISBN 10: 0124058914 ISBN 13: 9780124058910
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2013. Paperback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn t have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. Nº de ref. de la librería EOD9780124058910

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Krish Krishnan
Editorial: Elsevier Science 2013-06-26, Amsterdam (2013)
ISBN 10: 0124058914 ISBN 13: 9780124058910
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Descripción Elsevier Science 2013-06-26, Amsterdam, 2013. paperback. Estado de conservación: New. Nº de ref. de la librería 9780124058910

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Descripción Estado de conservación: New. Publisher/Verlag: Morgan Kaufmann | Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse.As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory.Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse.Learn how to leverage Big Data by effectively integrating it into your data warehouse. Includes real-world examples and use cases that clearly demonstrate Hadoop, NoSQL, HBASE, Hive, and other Big Data technologies Understand how to optimize and tune your current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements | Part 1 - Big DataChapter 1 - Introduction to Big DataChapter 2 - Complexity of Big DataChapter 3 - Big Data Processing ArchitecturesChapter 4 - Big Data TechnologiesChapter 5 - Big Data Business ValuePart 2 - The Data WarehouseChapter 6 - Data WarehouseChapter 7 - Re-Engineering the Data WarehouseChapter 8 -Workload Management in the Data WarehouseChapter 9 - New Technology ApproachesPart 3 - Extending Big Data into the Data WarehouseChapter 10 - Integration of Big Data and Data WarehouseChapter 11 - Data Driven ArchitectureChapter 12 - Information Management and LifecycleChapter 13 - Big Data Analytics, Visualization and Data ScientistChapter 14 - Implementing The "Big Data" Data WarehouseAppendix A - Customer Case Studies From VendorsAppendix B - Building The HealthCare Information Factory | Format: Paperback | Language/Sprache: english | 758 gr | 236x186x19 mm | 370 pp. Nº de ref. de la librería K9780124058910

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Krishnan, Krish
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Descripción Elsevier Science & Technology Books. Estado de conservación: Brand New. Nº de ref. de la librería 38712185

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Descripción Elsevier Science & Technology Books. Estado de conservación: Brand New. Nº de ref. de la librería 39161255

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Descripción 2013. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. Established seller since 2000. Nº de ref. de la librería KS-9780124058910

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Descripción Morgan Kaufmann. Estado de conservación: Brand New. Ships from USA. FREE domestic shipping. Nº de ref. de la librería 0124058914

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KRISHNAN, KRISH
Editorial: Morgan Kaufmann (2013)
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Descripción Morgan Kaufmann, 2013. Paperback. Estado de conservación: NEW. 9780124058910 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE01197896

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Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2013)
ISBN 10: 0124058914 ISBN 13: 9780124058910
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2013. Paperback. Estado de conservación: New. Language: English . Brand New Book. Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing data warehouse. As Big Data continues to revolutionize how we use data, it doesn t have to create more confusion. Expert author Krish Krishnan helps you make sense of how Big Data fits into the world of data warehousing in clear and concise detail. The book is presented in three distinct parts. Part 1 discusses Big Data, its technologies and use cases from early adopters. Part 2 addresses data warehousing, its shortcomings, and new architecture options, workloads, and integration techniques for Big Data and the data warehouse. Part 3 deals with data governance, data visualization, information life-cycle management, data scientists, and implementing a Big Data-ready data warehouse. Extensive appendixes include case studies from vendor implementations and a special segment on how we can build a healthcare information factory. Ultimately, this book will help you navigate through the complex layers of Big Data and data warehousing while providing you information on how to effectively think about using all these technologies and the architectures to design the next-generation data warehouse. Nº de ref. de la librería AAS9780124058910

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