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1
Intro
2
MICROSOFT INTELLIGENT DATA PLATFORM
3
THE COMPUTE ENGINES OF AZURE SYNAPSE
4
THE DATA LAKEHOUSE
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THE SYNAPSE LAKEHOUSE
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CODE AUTOMATION
7
TRANSFORMING DATA IN SPARK
8
GENERIC TRANSFORMATIONS
9
PARAMETER CELLS
10
APPLYING SPARK TO OUR ARCHITECTURE
11
ORCHESTRATION PATTERNS
12
EXPOSING DELTA TABLES VIA SERVERLESS SOL
13
SYNAPSE SERVERLESS CONSIDERATIONS
14
POWER BI MODEL DESIGN
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the architecture and implementation of a Lakehouse on the Microsoft Intelligent Data Platform in this 45-minute SQLBits conference talk. Gain insights into spark-based engines and their utilization within Synapse Analytics. Delve into Delta, the underlying file format enabling the Lakehouse, and examine how Synapse compute engines interact with it. Learn about code automation, data transformation in Spark, orchestration patterns, and exposing Delta tables via serverless SQL. Discover considerations for Synapse serverless and Power BI model design. Presented by Microsoft Data Platform MVP Craig Porteous and Simon Whiteley, this session provides a comprehensive overview of building a modern data architecture using Azure technologies.

Building a Lakehouse on the Microsoft Intelligent Data Platform

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