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|a Saxena, Shilpi.
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|a Practical Real-time Data Processing and Analytics.
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|a Birmingham, UNKNOWN :
|b Packt Publishing,
|c 2017.
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300 |
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|a 1 online resource (354)
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|a Cover; Title Page; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Customer Feedback; Table of Contents; Preface; Chapter 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; NRT -- The Storm solution; NRT -- The Spark solution; Lambda architecture -- analytics possibilities; IOT -- thoughts and possibilities; Edge analytics; Cloud -- considerations for NRT and IOT; Summary; Chapter 2: Real Time Applications -- The Basic Ingredients.
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|a The NRT system and its building blocksData collection; Stream processing; Analytical layer -- serve it to the end user; NRT -- high-level system view; NRT -- technology view; Event producer; Collection; Broker; Transformation and processing; Storage; Summary; Chapter 3: Understanding and Tailing Data Streams; Understanding data streams; Setting up infrastructure for data ingestion; Apache Kafka; Apache NiFi; Logstash; Fluentd; Flume; Taping data from source to the processor -- expectations and caveats; Comparing and choosing what works best for your use case; Do it yourself.
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|a Setting up ElasticsearchSummary; Chapter 4: Setting up the Infrastructure for Storm; Overview of Storm; Storm architecture and its components; Characteristics; Components; Stream grouping; Setting up and configuring Storm; Setting up Zookeeper; Installing; Configuring; Standalone; Cluster; Running; Setting up Apache Storm; Installing; Configuring; Running; Real-time processing job on Storm; Running job; Local; Cluster; Summary; Chapter 5: Configuring Apache Spark and Flink; Setting up and a quick execution of Spark; Building from source; Downloading Spark; Running an example.
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|a Setting up and a quick execution of FlinkBuild Flink source; Download Flink; Running example; Setting up and a quick execution of Apache Beam; Beam model; Running example; MinimalWordCount example walk through; Balancing in Apache Beam; Summary; Chapter 6: Integrating Storm with a Data Source; RabbitMQ -- messaging that works; RabbitMQ exchanges; Direct exchanges; Fanout exchanges; Topic exchanges; Headers exchanges; RabbitMQ setup; RabbitMQ -- publish and subscribe; RabbitMQ -- integration with Storm; AMQPSpout; PubNub data stream publisher; String together Storm-RMQ-PubNub sensor data topology.
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|a Chapter 7: From Storm to Sink; Setting up and configuring Cassandra; Setting up Cassandra; Configuring Cassandra; Storm and Cassandra topology; Storm and IMDB integration for dimensional data; Integrating the presentation layer with Storm; Setting up Grafana with the Elasticsearch plugin; Downloading Grafana; Configuring Grafana; Installing the Elasticsearch plugin in Grafana; Running Grafana; Adding the Elasticsearch datasource in Grafana; Writing code; Executing code; Visualizing the output on Grafana; Do It Yourself; Summary; Chapter 8: Storm Trident.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Real-time data processing.
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|a Temps réel (Informatique)
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|a Practical Real-time Data Processing and Analytics (Text)
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