Big data : a tutorial-based approach /: a tutorial-based approach. ([2019])

• Record Type: Book
• Further Information: Note: Nasir Raheem.
• Authors: Raheem, Nasir
• Contents: 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: DEFINEDHyperconverged 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 SQOOPAPACHE 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 TABLEAUTABLEAU: 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 CONCLUSIONChapter 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
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource, illustrations
• Subjects: 005.7; Big data -- Programmed instruction; COMPUTERS / Databases / General; Electronic books; Electronic books
• Languages: English
• ISBNs: 9780429060939; 0429060939; 9780429590511; 0429590512
• Related ISBNs: 9780367183455; 0367183455
• Notes: Note: Includes bibliographical references and index.; Note: Vendor-supplied metadata.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.