Data stream development with Apache Spark, Kafka, and Spring Boot /
"Today, organizations have a difficult time working with huge numbers of datasets. In addition, data processing and analyzing need to be done in real time to gain insights. This is where data streaming comes in. As big data is no longer a niche topic, having the skill set to architect and devel...
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | Leonard, Anghel (Orador) |
Formato: | Electrónico Video |
Idioma: | Inglés |
Publicado: |
[Place of publication not identified] :
Packt Publishing,
2018.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
Spark in action : video edition /
por: Zečević, Petar, et al.
Publicado: (2016) -
Deep dive into Project Tungsten : bring Spark closer to the bare metal /
Publicado: (2015) -
Sams teach yourself Apache Spark in 24 hours /
por: Aven, Jeffrey
Publicado: (2017) -
Apache Spark 2.0.
Publicado: (2016) -
Using Spark in the Hadoop ecosystem : data analytics using Spark, HDFS, YARN, MapReduce and other Hadoop tools /
Publicado: (2016)