Big Data : A Tutorial-Based Approach.

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- List of Tutorials -- List of Figures/Illustrations -- Foreword -- Preface -- Acknowledgements -- Author -- Chapter 1: Introduction to Big Data -- OVERVIEW -- RAPID GROWTH OF BIG DATA -- BIG DATA DEFINITION -- BIG DATA PROJECTS -- BUSINESS VALUE OF BIG DATA -- Chapter 2: Big Data Implementation -- OVERVIEW -- HIGH-LEVEL TASKS TO IMPLEMENT INFORMATICA BDM, CLOUDERA HIVE, AND TABLEAU -- BIG DATA TRIGGERS DIGITAL TRANSFORMATION OF THE PRODUCTION MODEL -- BIG DATA CHALLENGES AND ASSOCIATED USE CASES -- HADOOP INFRASTRUCTURE: OVERVIEW -- HADOOP INFRASTRUCTURE: DEFINED -- Hyperconverged Hadoop Infrastructure -- Compute Hardware Components -- Network Hardware Components -- Storage Hardware Architecture and Components -- HADOOP ECO SYSTEM -- HADOOP: JVM FRAMEWORK -- HADOOP DISTRIBUTED FILE PROCESSING -- MAPREDUCE SOFTWARE -- MAPREDUCE SOFTWARE INSTALLATION -- MAPREDUCE PROCESSING -- Chapter 3: Big Data Use Cases -- OVERVIEW -- BIG DATA USE CASE: HEALTH -- BIG DATA USE CASE: MANUFACTURING -- BIG DATA USE CASE: INSURANCE -- Chapter 4: Big Data Migration -- OVERVIEW -- CHALLENGES IN MIGRATING ORACLE DATA USING SQOOP -- WHERE IS SQOOP USED? -- SQOOP COMMANDS -- HIVE ARGUMENTS USED BY SQOOP -- APACHE SQOOP ARCHITECTURE -- APACHE SQOOP COMMAND LINE INTERFACE -- Chapter 5: Big Data Ingestion, Integration, and Management -- OVERVIEW -- INFORMATICA: MATURE AND COMPREHENSIVE BIG DATA SOLUTION -- INFORMATICA DATA INTEGRATION -- Chapter 6: Big Data Repository -- OVERVIEW -- DATA REPOSITORY LAYER -- HIVE BIG DATA WAREHOUSE -- SLOWLY CHANGING DIMENSION IN HIVE -- HIVE METADATA: DEFINITIONS -- INTEGRATED USE OF DATA INTEGRATION, DATA MANAGEMENT, AND DATA VISUALIZATION TOOLS -- Chapter 7: Big Data Visualization -- OVERVIEW -- VARIABLE TYPES -- Numbers -- Strings -- Factors.

SUCCESS FACTORS FOR TABLEAU -- TABLEAU: STEP FORWARD IN DATA ANALYTICS -- TABLEAU CONNECTORS FOR DATA SOURCES -- TABLEAU DATA ENGINE TUNING -- TABLEAU TUNING FEATURES -- Fast Interactive Query Engine -- Strategically Utilize Live Connections versus Extracts -- Curate Data from the Data Lake -- Optimize Data Extracts -- Customize Tableau Connection Performance -- Chapter 8: Structured and Un-Structured Data Analytics -- OVERVIEW -- TEXT ANALYTICS AS MEANS TO EXTRACT VALUE FROM UN-STRUCTURED DATA -- MAJOR PLAYERS IN TEXT ANALYTICS -- Decision Maker -- Domain Expert -- Linguist -- Data Scientists -- Conclusion -- FROM DATA TO ACTION -- CONCLUSION -- Chapter 9: Data Virtualization -- OVERVIEW -- Conclusion: Flexibility and Agility -- Pre-Installation Steps to Set Up Denodo Development Environment -- CONCLUSION -- Chapter 10: Cloud Computing -- OVERVIEW -- A QUICK GLANCE AT CLOUD COMPUTING -- Software as a Service (SaaS) -- Platform as a Service (PaaS) -- Infrastructure as a Service (IaaS) -- CLOUD COMPUTING VERSUS HADOOP PROCESSING -- CLOUD SERVICE MOST SUITED FOR BIG DATA -- Infrastructure as a Service (IaaS) -- Advantages of IaaS -- CONCLUSION -- SELF-ASSESSMENT QUIZ -- ANSWERS TO THE SELF-ASSESSMENT QUIZ -- REFERENCES -- INDEX.

This book explores the tools and techniques to bring about the marriage of structured and unstructured data.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.