Using Kudu with Apache Spark and Apache Flume : hands-on experience using the Kudu Storage Manager with Apache Spark, Spark SQL, MLlib, and Apache Flume /

"Apache Kudu, the breakthrough storage technology, is often used in conjunction with other Hadoop ecosystem frameworks for data ingest, processing, and analysis. This is a practical, hands-on course that shows you how Kudu works with four of those frameworks: Apache Spark, Spark SQL, MLlib, and...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bosshart, Ryan (Orador)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : O'Reilly Media, [2017]
Temas:
Apache Hadoop.
Big data.
Electronic data processing > Distributed processing.
Information storage and retrieval systems > Management.
Données volumineuses.
Traitement réparti.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:"Apache Kudu, the breakthrough storage technology, is often used in conjunction with other Hadoop ecosystem frameworks for data ingest, processing, and analysis. This is a practical, hands-on course that shows you how Kudu works with four of those frameworks: Apache Spark, Spark SQL, MLlib, and Apache Flume. You'll use the Kudu-Spark module with Spark and SparkSQL to seamlessly create, move, and update data between Kudu and Spark; then use Apache Flume to stream events into a Kudu table, and finally, query it using Apache Impala. The course is designed for learners with some limited experience using Hadoop ecosystem components like HDFS, Hive, Spark, or Impala."--Resource description page.
Notas:Title from title screen (viewed April 4, 2017).
Date of publication from resource description page.
Descripción Física:1 online resource (1 streaming video file (28 min., 46 sec.)) : digital, sound, color

Ejemplares similares