Practical real-time data processing and analytics : distributed computing and event processing using Apache Spark, Flink, Storm, and Kafka /
A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario About This Book Learn about the various challenges in real-time data processing and use the right tools to overcome them This book covers popular tools and framework...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Saxena, Shilpi (Autor), Gupta, Saurabh (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham, UK :
Packt Publishing,
2017.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Practical real-time data processing and analytics : distributed computing and event processing using Apache Spark, Flink, Storm, and Kafka /
por: Saxena, Shilpi, et al.
Publicado: (2017) -
Stream processing with Apache Spark : mastering structured streaming and Spark streaming /
por: Maas, Gerard, et al.
Publicado: (2019) -
Spark in motion /
Publicado: (2019) -
Practical data science with Hadoop and Spark : designing and building effective analytics at scale /
por: Medelevitch, Ofer, et al.
Publicado: (2017) -
Building an end-to-end batch data pipeline with Apache Spark.
Publicado: (2022)