Главная
Study mode:
on
1
Introduction
2
Common message
3
Dataintensive workloads
4
Problems with data silos
5
Google Services ecosystem
6
Location types
7
Additional requirements
8
Multiregion bucket
9
Anywhere Cache
10
Manage Folders
11
New products
12
Custom Audit Information
13
About Flipkart
14
Why Flipkart chose GCP
15
How much data Flipkart processes
16
Why data optimization is important
17
Our GCP stack
18
Who is Databricks
19
Databricks and Google
Description:
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

Google Cloud Tech
Add to list