000 | 05526cam a2200637Ii 4500 | ||
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001 | 9780429060939 | ||
003 | FlBoTFG | ||
005 | 20220531132352.0 | ||
006 | m o d | ||
007 | cr cnu|||unuuu | ||
008 | 190222t20192019flua ob 001 0 eng d | ||
040 |
_aOCoLC-P _beng _erda _epn _cOCoLC-P |
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020 |
_a9780429060939 _q(electronic bk.) |
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020 |
_a0429060939 _q(electronic bk.) |
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_a9780429590511 _q(electronic bk.) |
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020 |
_a0429590512 _q(electronic bk.) |
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020 |
_a9780429588570 _q(electronic bk. : Mobipocket) |
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_a0429588577 _q(electronic bk. : Mobipocket) |
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_a9780429592454 _q(electronic bk. : PDF) |
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_a0429592450 _q(electronic bk. : PDF) |
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020 | _z9780367183455 | ||
020 | _z0367183455 | ||
024 | 8 |
_a10.1201/9780429060939 _2doi |
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035 |
_a(OCoLC)1087502351 _z(OCoLC)1088528690 _z(OCoLC)1089012949 |
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035 | _a(OCoLC-P)1087502351 | ||
050 | 4 | _aQA76.9.B45 | |
072 | 7 |
_aCOM _x021000 _2bisacsh |
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072 | 7 |
_aCOM _x000000 _2bisacsh |
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072 | 7 |
_aCOM _x018000 _2bisacsh |
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072 | 7 |
_aUB _2bicssc |
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082 | 0 | 4 |
_a005.7 _223 |
100 | 1 |
_aRaheem, Nasir, _eauthor. |
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245 | 1 | 0 |
_aBig data : _ba tutorial-based approach / _cNasir Raheem. |
250 | _aFirst edition. | ||
264 | 1 |
_aBoca Raton : _bCRC Press, _c[2019]. |
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264 | 4 | _c©2019 | |
300 |
_a1 online resource : _billustrations. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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490 | 1 | _aCRC focus | |
520 |
_a"This book explores the tools and techniques to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File System Infrastructure, and (iii) efficient MapReduce processing. The book includes Use Cases and Tutorials to provide an integrated approach that answers the 'What', 'How', and 'Why' of Big Data"-- _cProvided by publisher. |
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505 | 0 | _aCover; 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 | |
505 | 8 | _aHADOOP 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 | |
505 | 8 | _aHIVE 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 | |
505 | 8 | _aSUCCESS 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 | |
505 | 8 | _aCONCLUSIONChapter 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 | |
588 | _aOCLC-licensed vendor bibliographic record. | ||
650 | 0 |
_aBig data _vProgrammed instruction. |
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650 | 7 |
_aCOMPUTERS / Databases / General _2bisacsh |
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650 | 7 |
_aCOMPUTERS / General _2bisacsh |
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650 | 7 |
_aCOMPUTERS / Data Processing / General _2bisacsh |
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650 | 7 |
_aCOMPUTERS / Database Management / General _2bisacsh |
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856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429060939 |
856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
999 |
_c71383 _d71383 |