How to Build a Cloud Data Platform - Part 1: Architecture

Explore the architecture of cloud data platforms in this comprehensive webinar, the first of a four-part series. Learn to combine the strengths of data warehouses and data lakes into a unified approach using Delta Lake, enhancing data reliability, performance, and operations. Discover how to construct a Cloud Data Platform with Databricks using Apache Spark™, Delta Lake, MLflow, and other open-source technologies. Gain insights into concepts, architectures, and practical demonstrations. Receive redemption codes for additional free Databricks self-paced training and demo notebooks for hands-on practice after the session. Delve into topics such as unified analytics, Apache Spark, data lakes, Delta Lake architecture, and key features of Delta Architecture. Understand the importance of a single source of truth, the differences between transaction processing and analytics processing, and the role of enterprise support systems and data warehouses in modern data platforms.

Introduction
Welcome
About Daterbricks
About Delta Lakes
Unified Analytics
Apache Spark
Question
Analogy
SPARC
Data Lake
Data Lakes
Delta Lake
Delta Architecture
Delta Architecture Key Features
Single Source of Truth
Transaction Processing vs Analytics Processing
Enterprise Support System
Data Warehouses
Quiz Question
Bill Inman