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" Encyclopedia of big data technologies / "


Document Type : BL
Record Number : 865434
Title & Author : Encyclopedia of big data technologies /\ Sherif Sakr, Albert Y. Zomaya, editors.
Edition Statement : [2019 edition]
Publication Statement : Cham, Switzerland :: Springer,, [2019]
Series Statement : Springer reference
Page. NO : 1 online resource (2 volumes (xlvi, 1820 pages)) :: illustrations (black and white, and colour)
ISBN : 3319775251
: : 331977526X
: : 9783319775258
: : 9783319775265
: 3319775243
: 9783319775241
Bibliographies/Indexes : Includes bibliographical references.
Contents : Intro; Preface; List of Topics; Big Data Integration; Big SQL; Big Spatial Data Management; Big Semantic Data Processing; Big Data Analysis; Big Data Programming Models; Big Data on Modern Hardware Systems; Big Data Applications; Enabling Big Data Technologies; Big Data Transaction Processing; Distributed Systems for Big Data; Big Data Security and Privacy; Business Process Analytics; Big Data Benchmarking; Graph data management and analytics; Data Compression; Big Stream Processing; About the Editors; About the Section Editors; List of Contributors; A
: Achieving Low Latency Transactions for Geo-replicated Storage with BlotterSynonyms; Definitions; Overview; Key Research Findings; Non-monotonic Snapshot Isolation; Snapshot Isolation Revisited; Specification of NMSI; The Benefits of NMSI in Replicated Settings; Impact of NMSI for Applications; Blotter Protocols; System Model; Blotter Architecture; Single Data Center Protocol; Geo-Replication; Examples of Applications; Future Directions of Research; References; ACID Properties in MMOGs; Active Disk; Active Storage; Synonyms; Overview; Key Research Findings; Storage
: Cross-ReferencesReferences; Recommended Reading; Apache Hadoop; Apache Kafka; Definitions; Overview; Kafka Brokers; Log Compaction; Scaling and Load Balancing; Fault Tolerance and High Availability; Message Delivery; Delivery Semantics; Writing to Kafka; Reading from Kafka; Kafka Connect Framework; Single-Message Transforms; Kafka Streams; Streams and Tables; State Management; Fault Tolerance and Scaling; Time Semantics; Exactly Once Processing Semantics; Summary; Cross-References; References; Apache Mahout; Definitions; Historical Background; Foundations; Overview of Architecture
: Memory: Processing-In-Memory (PIM)Active Network; Cross-References; References; Ad Hoc Benchmark; Ad Hoc Query Processing; Adaptive Partitioning; Adaptive Windowing; Synonyms; Definitions; Context; Methods; Examples of Application; Future Research; Cross-References; References; Advancements in YARN Resource Manager; Synonyms; Definitions; Overview; YARN Architecture; Resource Utilization; Cluster Scalability; Long-Running Services; Jobs with SLOs; Further Improvements; Conclusion; Cross-References; References; ADWIN Algorithm; Alignment Creation; Analytics Benchmarks; Synonyms; Definitions
: OverviewHistorical Background; OLTP and DSS/OLAP; TPC; SPEC; STAC; Big Data Technologies; Big Data Analytics Benchmarks; Foundations; Key Applications; Cross-References; References; Apache Apex; Introduction; Application Model and APIs; Operators; Checkpointing; High Availability; Resource Management; Partitioning/Scaling; Partitioners; Unifiers; Parallel Partitioning; Dynamic Partitioning; Integration Using Apex Library; Conclusion; References; Apache Flink; Synonyms; Definitions; Overview; Historical Background; Foundations; Time Handling; State and Fault Tolerance; Key Applications
Abstract : The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 250 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers topics such as big data storage systems, NoSQL database, cloud computing, distributed systems, data processing, data management, machine learning and social technologies, data science. Each peer-reviewed, highly structured entry provides the reader with basic terminology, subject overviews, key research results, application examples, future directions, cross references and a bibliography. The entries are expository and tutorial, making this reference a practical resource for students, academics, or professionals. In addition, the distinguished, international editorial board of the encyclopedia consists of well-respected scholars, each developing topics based upon their expertise.
Subject : Big data, Encyclopedias.
Subject : Big data.
Dewey Classification : ‭005.703‬
LC Classification : ‭QA76.9.B45‬‭E53 2019‬
Added Entry : Sakr, Sherif,1979-
: Zomaya, Albert Y.
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