Mastering Apache Storm : (Record no. 129011)
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| fixed length control field | 07341nam a22004333i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC4980882 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240729131403.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240724s2017 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781787120402 |
| Qualifying information | (electronic bk.) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC4980882 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL4980882 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaPaEBR)ebr11427176 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1002017425 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TK5105.8885.A63.J35 2017 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Jain, Ankit. |
| 245 10 - TITLE STATEMENT | |
| Title | Mastering Apache Storm : |
| Remainder of title | Master the Intricacies of Apache Storm and Develop Real-Time Stream Processing Applications with Ease. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Birmingham : |
| Name of producer, publisher, distributor, manufacturer | Packt Publishing, Limited, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2017. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2017. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (276 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cover -- Copyright -- Credits -- About the Author -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Real-Time Processing and Storm Introduction -- Apache Storm -- Features of Storm -- Storm components -- Nimbus -- Supervisor nodes -- The ZooKeeper cluster -- The Storm data model -- Definition of a Storm topology -- Operation modes in Storm -- Programming languages -- Summary -- Chapter 2: Storm Deployment, Topology Development, and Topology Options -- Storm prerequisites -- Installing Java SDK 7 -- Deployment of the ZooKeeper cluster -- Setting up the Storm cluster -- Developing the hello world example -- The different options of the Storm topology -- Deactivate -- Activate -- Rebalance -- Kill -- Dynamic log level settings -- Walkthrough of the Storm UI -- Cluster Summary section -- Nimbus Summary section -- Supervisor Summary section -- Nimbus Configuration section -- Topology Summary section -- Dynamic log level settings -- Updating the log level from the Storm UI -- Updating the log level from the Storm CLI -- Summary -- Chapter 3: Storm Parallelism and Data Partitioning -- Parallelism of a topology -- Worker process -- Executor -- Task -- Configure parallelism at the code level -- Worker process, executor, and task distribution -- Rebalance the parallelism of a topology -- Rebalance the parallelism of a SampleStormClusterTopology topology -- Different types of stream grouping in the Storm cluster -- Shuffle grouping -- Field grouping -- All grouping -- Global grouping -- Direct grouping -- Local or shuffle grouping -- None grouping -- Custom grouping -- Guaranteed message processing -- Tick tuple -- Summary -- Chapter 4: Trident Introduction -- Trident introduction -- Understanding Trident's data model -- Writing Trident functions, filters, and projections -- Trident function. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Trident filter -- Trident projection -- Trident repartitioning operations -- Utilizing shuffle operation -- Utilizing partitionBy operation -- Utilizing global operation -- Utilizing broadcast operation -- Utilizing batchGlobal operation -- Utilizing partition operation -- Trident aggregator -- partitionAggregate -- aggregate -- ReducerAggregator -- Aggregator -- CombinerAggregator -- persistentAggregate -- Aggregator chaining -- Utilizing the groupBy operation -- When to use Trident -- Summary -- Chapter 5: Trident Topology and Uses -- Trident groupBy operation -- groupBy before partitionAggregate -- groupBy before aggregate -- Non-transactional topology -- Trident hello world topology -- Trident state -- Distributed RPC -- When to use Trident -- Summary -- Chapter 6: Storm Scheduler -- Introduction to Storm scheduler -- Default scheduler -- Isolation scheduler -- Resource-aware scheduler -- Component-level configuration -- Memory usage example -- CPU usage example -- Worker-level configuration -- Node-level configuration -- Global component configuration -- Custom scheduler -- Configuration changes in the supervisor node -- Configuration setting at component level -- Writing a custom supervisor class -- Converting component IDs to executors -- Converting supervisors to slots -- Registering a CustomScheduler class -- Summary -- Chapter 7: Monitoring of Storm Cluster -- Cluster statistics using the Nimbus thrift client -- Fetching information with Nimbus thrift -- Monitoring the Storm cluster using JMX -- Monitoring the Storm cluster using Ganglia -- Summary -- Chapter 8: Integration of Storm and Kafka -- Introduction to Kafka -- Kafka architecture -- Producer -- Replication -- Consumer -- Broker -- Data retention -- Installation of Kafka brokers -- Setting up a single node Kafka cluster -- Setting up a three node Kafka cluster. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Multiple Kafka brokers on a single node -- Share ZooKeeper between Storm and Kafka -- Kafka producers and publishing data into Kafka -- Kafka Storm integration -- Deploy the Kafka topology on Storm cluster -- Summary -- Chapter 9: Storm and Hadoop Integration -- Introduction to Hadoop -- Hadoop Common -- Hadoop Distributed File System -- Namenode -- Datanode -- HDFS client -- Secondary namenode -- YARN -- ResourceManager (RM) -- NodeManager (NM) -- ApplicationMaster (AM) -- Installation of Hadoop -- Setting passwordless SSH -- Getting the Hadoop bundle and setting up environment variables -- Setting up HDFS -- Setting up YARN -- Write Storm topology to persist data into HDFS -- Integration of Storm with Hadoop -- Setting up Storm-YARN -- Storm-Starter topologies on Storm-YARN -- Summary -- Chapter 10: Storm Integration with Redis, Elasticsearch, and HBase -- Integrating Storm with HBase -- Integrating Storm with Redis -- Integrating Storm with Elasticsearch -- Integrating Storm with Esper -- Summary -- Chapter 11: Apache Log Processing with Storm -- Apache log processing elements -- Producing Apache log in Kafka using Logstash -- Installation of Logstash -- What is Logstash? -- Why are we using Logstash? -- Installation of Logstash -- Configuration of Logstash -- Why are we using Kafka between Logstash and Storm? -- Splitting the Apache log line -- Identifying country, operating system type, and browser type from the log file -- Calculate the search keyword -- Persisting the process data -- Kafka spout and define topology -- Deploy topology -- MySQL queries -- Calculate the page hit from each country -- Calculate the count for each browser -- Calculate the count for each operating system -- Summary -- Chapter 12: Twitter Tweet Collection and Machine Learning -- Exploring machine learning -- Twitter sentiment analysis. |
| 505 8# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Using Kafka producer to store the tweets in a Kafka cluster -- Kafka spout, sentiments bolt, and HDFS bolt -- Summary -- Index. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic 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 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Big data. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Jain, Ankit |
| Title | Mastering Apache Storm |
| Place, publisher, and date of publication | Birmingham : Packt Publishing, Limited,c2017 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=4980882">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=4980882</a> |
| Public note | Click to View |
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