| 000 | 04953nam a22004333i 4500 | ||
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| 001 | EBC5064690 | ||
| 003 | MiAaPQ | ||
| 005 | 20240729131512.0 | ||
| 006 | m o d | | ||
| 007 | cr cnu|||||||| | ||
| 008 | 240724s2017 xx o ||||0 eng d | ||
| 020 |
_a9781787289864 _q(electronic bk.) |
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| 035 | _a(MiAaPQ)EBC5064690 | ||
| 035 | _a(Au-PeEL)EBL5064690 | ||
| 035 | _a(CaPaEBR)ebr11448308 | ||
| 035 | _a(OCoLC)1005573411 | ||
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_aMiAaPQ _beng _erda _epn _cMiAaPQ _dMiAaPQ |
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| 050 | 4 | _aHF5548.2.S294 2017 | |
| 082 | 0 | _a4 | |
| 100 | 1 | _aSaxena, Shilpi. | |
| 245 | 1 | 0 |
_aPractical Real-Time Data Processing and Analytics : _bA Practical Guide to Help You Tackle Different Real-Time Data Processing and Analytics Problems Using the Best Tools for Each Scenario. |
| 250 | _a1st ed. | ||
| 264 | 1 |
_aBirmingham : _bPackt Publishing, Limited, _c2017. |
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| 264 | 4 | _c©2017. | |
| 300 | _a1 online resource (354 pages) | ||
| 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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| 505 | 0 | _aIntro -- Practical Real-Time Data Processing and Analytics -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Why subscribe? -- Customer Feedback -- Table of Contents -- Preface -- What this book covers -- What you need for this book -- Who this book is for -- Conventions -- Reader feedback -- Customer support -- 1 Introducing Real-Time Analytics -- What is big data? -- Big data infrastructure -- Real-time analytics - the myth and the reality -- Near real-time solution - an architecture that works -- Lambda architecture - analytics possibilities -- IOT - thoughts and possibilities -- Cloud - considerationos for NRT and IOT -- Summary -- 2 Real Time Applications - The Basic Ingredients -- The NRT system and its building blocks -- NRT - high-level system view -- NRT - technology view -- Summary -- 3 Understanding and Tailing Data Streams -- Understanding data streams -- Setting up infrastructure for data ingestion -- Taping data from source to the processor - expectations and caveats -- Comparing and choosing what works best for your use case -- Do it yourself -- Summary -- 4 Setting up the Infrastructure for Storm -- Overview of Storm -- Storm architecture and its components -- Setting up and configuring Storm -- Real-time processing job on Storm -- Summary -- 5 Configuring Apache Spark and Flink -- Setting up and a quick execution of Spark -- Setting up and a quick execution of Flink -- Setting up and a quick execution of Apache Beam -- Balancing in Apache Beam -- Summary -- 6 Integrating Storm with a Data Source -- RabbitMQ - messaging that works -- RabbitMQ exchanges -- RabbitMQ - integration with Storm -- PubNub data stream publisher -- String together Storm-RMQ-PubNub sensor data topology -- Summary -- 7 From Storm to Sink -- Setting up and configuring Cassandra -- Storm and Cassandra topology. | |
| 505 | 8 | _aStorm and IMDB integration for dimensional data -- Integrating the presentation layer with Storm -- Do It Yourself -- Summary -- 8 Storm Trident -- State retention and the need for Trident -- Basic Storm Trident topology -- Trident internals -- Trident operations -- DRPC -- Do It Yourself -- Summary -- 9 Working with Spark -- Spark overview -- Distinct advantages of Spark -- Spark - use cases -- Spark architecture - working inside the engine -- Spark pragmatic concepts -- Spark 2.x - advent of data frames and datasets -- Summary -- 10 Working with Spark Operations -- Spark - packaging and API -- RDD pragmatic exploration -- Shared variables - broadcast variables and accumulators -- Summary -- 11 Spark Streaming -- Spark Streaming concepts -- Spark Streaming - introduction and architecture -- Packaging structure of Spark Streaming -- Connecting Kafka to Spark Streaming -- Summary -- 12 Working with Apache Flink -- Flink architecture and execution engine -- Flink basic components and processes -- Integration of source stream to Flink -- Flink processing and computation -- Flink persistence -- FlinkCEP -- Pattern API -- Gelly -- DIY -- Summary -- 13 Case Study -- Introduction -- Data modeling -- Tools and frameworks -- Setting up the infrastructure -- Implementing the case study -- Running the case study -- Summary -- Index. | |
| 588 | _aDescription based on publisher supplied metadata and other sources. | ||
| 590 | _aElectronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. | ||
| 650 | 0 | _aElectronic data processing. | |
| 655 | 4 | _aElectronic books. | |
| 700 | 1 | _aGupta, Saurabh. | |
| 776 | 0 | 8 |
_iPrint version: _aSaxena, Shilpi _tPractical Real-Time Data Processing and Analytics _dBirmingham : Packt Publishing, Limited,c2017 |
| 797 | 2 | _aProQuest (Firm) | |
| 856 | 4 | 0 |
_uhttps://ebookcentral.proquest.com/lib/orpp/detail.action?docID=5064690 _zClick to View |
| 999 |
_c131124 _d131124 |
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