Run Spark and Hadoop faster with Dataproc


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

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

#GCPStartupGuides


Duration: 00:16:35
Publisher: Google Cloud
You can watch this video also at the source.