ML at scale with Bigtable, Dataproc, Dataflow and BigQuery

Learn more about data analytics at Google Cloud → https://goo.gle/35c8ik5

Today’s users expect fluid experiences, tailored to their needs. Machine Learning (ML) is no longer a nice-to-have but a necessity and one that needs to work without compromising your application’s overall performance. Google Cloud offers a large portfolio of Machine Learning products for various use cases and skill levels from pre-packaged industry solutions to platforms for managing the complete Machine Learning lifecycle in addition to supporting open-source solutions like Apache Spark. In this session, we will cover the basics of custom model development using Apache Spark on Cloud Dataproc and Google Cloud databases.

Learn more about databases at Google Cloud → https://goo.gle/3IC5kCZ
Learn more about Google's data cloud → https://goo.gle/3LiFeqe

Видео ML at scale with Bigtable, Dataproc, Dataflow and BigQuery канала Google Cloud Events