Google Cloud Next Milan '17- "Moving Spark/Hadoop workloads to Google Cloud Platform"
831
30.8
Google Cloud Platform1.17 млн
Следующее
02.11.17 – 1 6642:14:46Популярные
31 день – 5 4925:01
45 дней – 8010:42Опубликовано 2 ноября 2017, 0:35
In this session, Jelena Pjesivac-Grbovic, Software Engineer, help you learn how you can use Google Cloud's managed Spark and Hadoop service, Google Cloud Dataproc, to take advantage of your existing investments in Spark and Hadoop.
For those who use popular open source data processing tools like Apache Spark and Hadoop, there can be several steps involved before being able to really focus on the data itself: creating a cluster to use the open source tools, finding a software package to easily install and manage the tools, then finding people to create jobs and applications and to operate, maintain and scale your clusters.
For those who use popular open source data processing tools like Apache Spark and Hadoop, there can be several steps involved before being able to really focus on the data itself: creating a cluster to use the open source tools, finding a software package to easily install and manage the tools, then finding people to create jobs and applications and to operate, maintain and scale your clusters.
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