Explore how to build scalable, secure, and cost-effective data lakes using Google Cloud Storage for data-intensive workloads. Learn from Flipkart's experience in leveraging Google's ecosystem of services, including BigQuery and Dataproc, to process massive amounts of data. Discover the benefits of multiregion buckets, Anywhere Cache, and custom audit information. Gain insights into why Flipkart chose Google Cloud Platform and how they optimize their data processing. Understand the role of Databricks in building data lakes on Google Cloud Storage and how it can enhance your data analytics capabilities. Hear from industry experts as they discuss common challenges with data silos, location types, and new products designed to streamline data management and analysis.
Cloud Storage Infrastructure for Data-Intensive Workloads - Featuring Flipkart and Databricks
Overview
Syllabus
Introduction
Common message
Dataintensive workloads
Problems with data silos
Google Services ecosystem
Location types
Additional requirements
Multiregion bucket
Anywhere Cache
Manage Folders
New products
Custom Audit Information
About Flipkart
Why Flipkart chose GCP
How much data Flipkart processes
Why data optimization is important
Our GCP stack
Who is Databricks
Databricks and Google
Taught by
Google Cloud Tech
