| Description |
1 online resource |
| Contents |
Cover ; Half Title ; Title Page ; Copyright Page ; Contents ; Preface ; Editor ; Contributors ; 1. Distributed Transaction Processing ; 2. X/Open Distributed Transaction Processing Model Using EJB and MTS ; 3. Data Migration Techniques from SQL to NoSQL |
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4. Comparative Study on Mostly Used NoSQL Databases 5. NoSQL and Cloud Paradigm: Characteristics and Classification ; 6. A Scalable Record Linkage Technique for NoSQL Databases Using GPGPU ; 7. NoSQL for Handling Big and Complex Biological Data ; 8. Applications of Hadoop Ecosystems Tools |
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9. Hadoop Ecosystem Tools and Algorithms 10. Big Data Management Tools for Hadoop ; 11. Realization of Optimized Clustering Algorithm on RHadoop ; 12. Security and Privacy: Challenges and Defending Solutions for NoSQL Data Stores |
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13. Challenges and Security Issues of Distributed Databases 14. Security Issues and Privacy Challenges of NoSQL Databases ; 15. Attack Graph Generation and Analysis Using Graph Database ; 16. Hands-On Aerospike ; 17. Hands-On Cassandra for Windows ; 18. Hands-On Cloudant |
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19. Hands-On InfluxDB 20. Hands-On Redis ; 21. Hands-On RethinkDB ; 22. Hands on Neo4j: Graphs for Real-World Applications ; 23. Tutorial on MongoDB ; 24. Introduction to Oracle NoSQL Database ; 25. Hosting and Delivering Cassandra NoSQL Database via Cloud Environments ; Index |
| Summary |
In the IoT driven Big Data world, the traditional SQL databases are found to be inadequate. Hence, the concept of NoSQL databases is drawing the attention of Researchers, Practitioners and Academicians. Clusters and Clouds of commodity servers are being prescribed to Storage of Big Data to squeeze out actionable insights interactively and instantaneously. These specially crafted databases (NoSQL) are intrinsically designed to meet the huge data Storage, Processing and Analysis requirements that are the essence of the Big Data world. A variety of NoSQL databases with different features and functionalities are hitting the market to deal effectively with data-intensive analytics and applications. This book, in 25 Chapters, brings forth information regarding NoSQL databases to database Professionals, Academia and Researchers across the world. Salient features of the book are: Chapters on Hadoop Ecosystem Tools & Algorithm, Chapters on Handling Biological Data & Scalable Record Linkage, Technique for NoSQL Databases Using GPGPU, Chapters on NoSQL Security, 10 Hands On Chapters on NoSQL database such as Oracle NoSQL, MongoDB, Aerospike, Neo4J and Cassandra contributed by IT professionals from reputed organizations with relevant download links and installation steps. Book jacket |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Cloud computing.
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Non-relational databases.
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Database design.
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SQL (Computer program language)
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COMPUTERS -- Computer Literacy.
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COMPUTERS -- Computer Science.
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COMPUTERS -- Data Processing.
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COMPUTERS -- Hardware -- General.
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COMPUTERS -- Information Technology.
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COMPUTERS -- Machine Theory.
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COMPUTERS -- Reference.
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Cloud computing
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Database design
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Non-relational databases
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SQL (Computer program language)
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| Form |
Electronic book
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| ISBN |
9781351651622 |
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1351651625 |
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9781498784375 |
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1498784372 |
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9781315155579 |
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1315155575 |
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9781351642101 |
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1351642103 |
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