Cargando…

Learning real-time processing with Spark Streaming: building scalable and fault-tolerant streaming applications made easy with Spark Streaming

Detalles Bibliográficos
Autor principal:	Gupta, Sumit
Lenguaje:	eng
Publicado:	Packt Publ. 2015
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2113603

Ejemplares similares

Stream processing with Apache Spark: mastering structured streaming and Spark streaming
por: Maas, Gerard, et al.
Publicado: (2019)

Pro Spark streaming: the zen of real-time analytics using Apache Spark
por: Nabi, Zubair
Publicado: (2016)

Beginning Apache Spark 2: with resilient distributed datasets, Spark SQL, structured streaming and Spark machine learning library
por: Luu, Hien
Publicado: (2018)

Learning Spark SQL: architect streaming analytics and machine learning solutions
por: Sarkar, Aurobindo
Publicado: (2017)

Making sense of stream processing: the philosophy behind Apache Kafka and scalable stream data platforms
por: Kleppmann, Martin
Publicado: (2016)

Stream processing with Apache Flink: fundamentals, implementation, and operation of streaming applications
por: Hueske, Fabian, et al.
Publicado: (2019)

Kafka Streams in action: real-time apps and microservices with the Kafka Streams API
por: Bejeck, William P
Publicado: (2018)

Optimised lambda architecture for monitoring WLCG using spark and spark streaming
por: Suthakar, U, et al.
Publicado: (2017)

Stream Analytics with Microsoft Azure: real-time data processing for quick insights using Azure Stream Analytics
por: Basak, Anindita, et al.
Publicado: (2017)

Apache Spark graph processing: build, process, and analyze large-scale graphs with Spark
por: Ramamonjison, Rindra, et al.
Publicado: (2015)

Apache Spark 2: master complex big data processing, stream analytics, and machine learning with Apache Spark
por: Kienzler, Romeo, et al.
Publicado: (2018)

Introduction to Apache Flink: stream processing for real time and beyond
por: Friedman, B Ellen, et al.
Publicado: (2016)

Learning Apache Apex: Real-time streaming applications with Apex
por: Weise, Thomas, et al.
Publicado: (2017)

Reactive streams in Java: concurrency with RxJava, Reactor, and Akka Streams
por: Davis, Adam L
Publicado: (2019)

Reactive streams in Java: concurrency with RxJava, Reactor, and Akka Streams
por: Davis, Adam L
Publicado: (2018)

Hands-on deep learning with Apache Spark: build and deploy distributed deep learning applications on Apache Spark
por: Iozzia, Guglielmo
Publicado: (2019)

Machine learning with Spark: create scalable machine learning applications to power a modern data-driven business using Spark
por: Pentreath, Nick
Publicado: (2015)

Streaming data: understanding the real-time pipeline
por: Psaltis, Andrew G
Publicado: (2017)

Spark, the definitive guide: big data processing made simple
por: Chambers, Bill, et al.
Publicado: (2017)

Streaming architecture: new designs using Apache Kafka and MapR streams
por: Dunning, Ted, et al.
Publicado: (2016)

Mastering Apache Storm: processing big data streams in real time
por: Jain, Ankit
Publicado: (2017)

Kafka: the definitive guide : real-time data and stream processing at scale
por: Narkhede, Neha, et al.
Publicado: (2017)

Autonomous learning systems: from data streams to knowledge in real-time
por: Angelov, Plamen P
Publicado: (2013)

Apache Flink: Distributed Stream Data Processing
por: Jacobs, Kevin, et al.
Publicado: (2016)

Real-Time Heart Arrhythmia Detection Using Apache Spark Structured Streaming
por: Ilbeigipour, Sadegh, et al.
Publicado: (2021)

Spatio-temporal data streams
por: Galic, Zdravko
Publicado: (2016)

The business of streaming and digital media
por: Rayburn, Dan, et al.
Publicado: (2005)

Data streams: models and algorithms
por: Aggarwal, Charu C
Publicado: (2007)

Mastering machine learning with Spark 2.x: create scalable machine learning applications to power a modern data-driven business using Spark
por: Tellez, Alex, et al.
Publicado: (2017)

A Dynamically Reconfigurable Data Stream Processing System
por: Nogiec, J, et al.
Publicado: (2005)

Machine learning for data streams: with practical examples in MOA
por: Bifet, Albert, et al.
Publicado: (2017)

Real-time analytics: techniques to analyze and visualize streaming data
por: Ellis, Byron
Publicado: (2014)

Large scale machine learning with Spark: discover everything you need to build robust machine learning applications with Spark 2.0
por: Karim, Md Rezaul, et al.
Publicado: (2016)

Machine learning with Spark: develop intelligent machine learning systems with Spark 2.x
por: Dua, Rajdeep, et al.
Publicado: (2017)

Fast data processing with Spark
por: Sankar, Krishna, et al.
Publicado: (2015)

Next-generation video coding and streaming
por: Bing, Benny
Publicado: (2015)

ATLAS Condition Database and Calibration Streams
por: Verducci, M
Publicado: (2007)

Streaming audio: the FezGuys' guide
por: Luini, Jon R, et al.
Publicado: (2002)

Learning PySpark: build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0
por: Drabas, Tomasz, et al.
Publicado: (2017)

Performance Evaluation Analysis of Spark Streaming Backpressure for Data-Intensive Pipelines
por: Matteussi, Kassiano J., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_odb0mb5aaq2iqdeng1pfbnu4qu