Practical Real-time Data Processing and Analytics.

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; Downloadin...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Saxena, Shilpi
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UNKNOWN : Packt Publishing, 2017.
Temas:
Real-time data processing.
Temps réel (Informatique)
Real-time data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.
  • 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.
  • 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.
  • 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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