Run Spark and Hadoop faster with Dataproc

Опубликовано 19 августа 2022, 0:50

Here to bring you the latest news in the startup program by Google Cloud is Emely Zavala!

Welcome to the second season of the Google Cloud Technical Guides for Startups - the Build Series.

Build Series - Episode 5: How to run Spark and Hadoop faster with Dataproc

Tune into our new series for a new episode each time and let us know what you think in the comments below!

Chapters:
0:00 - Intro
1:00 - What is Dataproc
2:20 - Google Dataproc vision
3:16 - On premises deployments vs Dataproc deployments
4:50 - Serverless Spark
8:30 - [Demo] Dataproc demo
12:45 - Dataproc Serverless for Spark architecture
13:48 - Customer case study
13:32 - Wrap up!

Dataproc pricing → goo.gle/3A3FfKV
Serverless for Spark → goo.gle/3pzXWkl
Migrating to Dataproc → goo.gle/3QzCB6N
Run a managed notebooks instance on a Dataproc cluster → goo.gle/3PwZRkf
Dataproc connectors → goo.gle/3K5O6R1

Check out our website → goo.gle/3A3VMOR
Google Cloud Technical Guides for Startups playlist→ goo.gle/3lBtYvu
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech

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