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1
Introduction
2
Welcome
3
About Daterbricks
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About Delta Lakes
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Unified Analytics
6
Apache Spark
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Question
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Analogy
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SPARC
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Data Lake
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Data Lakes
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Delta Lake
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Delta Architecture
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Delta Architecture Key Features
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Single Source of Truth
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Transaction Processing vs Analytics Processing
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Enterprise Support System
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Data Warehouses
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Quiz Question
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Bill Inman
Description:
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.

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

Databricks
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