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Big Data Systems A 360-degree Approach

Aus der Reihe Chapman & Hall/CRC Big Data Series

74,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative...

Beschreibung

Big Data Systems encompass massive challenges related to data diversity, storage mechanisms, and requirements of massive computational power. Further, capabilities of big data systems also vary with respect to type of problems. For instance, distributed memory systems are not recommended for iterative algorithms. Similarly, variations in big data systems also exist related to consistency and fault tolerance. The purpose of this book is to provide a detailed explanation of big data systems. The book covers various topics including Networking, Security, Privacy, Storage, Computation, Cloud Computing, NoSQL and NewSQL systems, High Performance Computing, and Deep Learning. An illustrative and practical approach has been adopted in which theoretical topics have been aided by well-explained programming and illustrative examples.

Key Features:

  • Introduces concepts and evolution of Big Data technology.
  • Illustrates examples for thorough understanding.
  • Contains programming examples for hands on development.
  • Explains a variety of topics including NoSQL Systems, NewSQL systems, Security, Privacy, Networking, Cloud, High Performance Computing, and Deep Learning.
  • Exemplifies widely used big data technologies such as Hadoop and Spark.
  • Includes discussion on case studies and open issues.
  • Provides end of chapter questions for enhanced learning.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

24.07.2023
Abbildungen

120 SW-Abb., 120 SW-Zeichn., 20 Tabellen
Verlag Taylor & Francis

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

24.07.2023
Abbildungen

120 SW-Abb., 120 SW-Zeichn., 20 Tabellen
Verlag Taylor & Francis
Seitenzahl

342
Maße (L/B/H)

25,4/17,8/1,8 cm
Gewicht

645 g
Sprache

Englisch
ISBN

978-0-367-75523-2
Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Big Data Systems
  • Produktbild: Big Data Systems

  • Preface
    Author Bios
    Acknowledgements
    List of Figures
    List of Tables

    Introduction to Big Data Systems
    1.1 INTRODUCTION: REVIEW OF BIG DATA SYSTEMS
    1.2 UNDERSTANDING BIG DATA
    1.3 TYPE OF DATA: TRANSACTIONAL OR ANALYTICAL
    1.4 REQUIREMENTS AND CHALLENGES OF BIG DATA
    1.5 CONCLUDING REMARKS
    1.6 FURTHER READING
    1.7 EXERCISE QUESTIONS

    Architecture and Organization of Big Data Systems
    2.1 ARCHITECTURE FOR BIG DATA SYSTEMS
    2.2 ORGANIZATION OF BIG DATA SYSTEMS: CLUSTERS
    2.3 CLASSIFICATION OF CLUSTERS: DISTRIBUTED MEMORY VS. SHARED MEMORY
    2.4 CONCLUDING REMARKS
    2.5 FURTHER READING
    2.6 EXERCISE QUESTIONS

    Cloud Computing for Big Data
    3.1 CLOUD COMPUTING
    3.2 VIRTUALIZATION
    3.3 PROCESSOR VIRTUALIZATION
    3.4 CONTAINERIZATION
    3.5 VIRTUALIZATION OR CONTAINERIZATION
    3.6 FOG COMPUTING
    3.7 EXAMPLES
    3.8 CONCLUDING REMARKS
    3.9 FURTHER READING
    3.10 EXERCISE QUESTIONS

    HADOOP: An Efficient Platform for Storing and Processing Big Data
    4.1 REQUIREMENTS FOR PROCESSING AND STORING BIG DATA
    4.2 HADOOP - THE BIG PICTURE
    4.3 HADOOP DISTRIBUTED FILE SYSTEM
    4.4 MAPREDUCE
    4.5 HBASE
    4.6 CONCLUDING REMARKS
    4.7 FURTHER READING
    4.8 EXERCISE QUESTIONS

    Enhancements in Hadoop
    5.1 ISSUES WITH HADOOP
    5.2 YARN
    5.3 PIG
    5.4 HIVE
    5.5 DREMEL
    5.6 IMPALA
    5.7 DRILL
    5.8 DATA TRANSFER
    5.9 AMBARI
    5.10 CONCLUDING REMARKS
    5.11 FURTHER READING
    5.12 EXERCISE QUESTIONS

    Spark
    6.1 LIMITATIONS OF MAPREDUCE
    6.2 INTRODUCTION TO SPARK
    6.3 SPARK CONCEPTS
    6.4 SPARK SQL
    6.5 SPARK MLLIB
    6.6 STREAM BASED SYSTEM
    6.7 SPARK STREAMING
    6.8 CONCLUDING REMARKS
    6.9 FURTHER READING
    6.10 EXERCISE QUESTIONS

    NoSQL Systems
    7.1 INTRODUCTION
    7.2 HANDLING BIG DATA SYSTEMS - PARALLEL RDBMS
    7.3 EMERGENCE OF NOSQL SYSTEMS
    7.4 KEY-VALUE DATABASE
    7.5 DOCUMENT-ORIENTED DATABASE
    7.6 COLUMN-ORIENTED DATABASE
    7.7 GRAPH DATABASE
    7.8 CONCLUDING REMARKS
    7.9 FURTHER READING
    7.10 EXERCISE QUESTIONS

    NewSQL Systems
    8.1 INTRODUCTION
    8.2 TYPES OF NEWSQL SYSTEMS
    8.3 FEATURES
    8.4 NEWSQL SYSTEMS: CASE STUDIES
    8.5 CONCLUDING REMARKS
    8.6 FURTHER READING
    8.7 EXERCISE QUESTIONS

    Networking for Big Data
    9.1 NETWORK ARCHITECTURE FOR BIG DATA SYSTEMS
    9.2 CHALLENGES AND REQUIREMENTS
    9.3 NETWORK PROGRAMMABILITY AND SOFTWARE DEFINED NETWORKING
    9.4 LOW LATENCY AND HIGH SPEED DATA TRANSFER
    9.5 AVOIDING TCP INCAST - ACHIEVING LOW LATENCY
    AND HIGH THROUGHPUT
    9.6 FAULT TOLERANCE
    9.7 CONCLUDING REMARKS
    9.8 FURTHER READING
    9.9 EXERCISE QUESTIONS

    Security for Big Data
    10.1 INTRODUCTION
    10.2 SECURITY REQUIREMENTS
    10.3 SECURITY: ATTACK TYPES AND MECHANISMS
    10.4 ATTACK DETECTION AND PREVENTION
    10.5 CONCLUDING REMARKS
    10.6 FURTHER READING
    10.7 EXERCISE QUESTIONS