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 → 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 #GCPStartupGuides

• #science_technology
• #google_cloud
• #startup
• #startups
• #gcp
• #vc
• #series