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1
Introduction
2
Agenda
3
Engagement Data Lake
4
Incremental Reads
5
Notification Table
6
Incremental Reach
7
Data File Hierarchy
8
Atomic Actions
9
Data Loss
10
Metadata
11
Batch ID
12
Happy Pass
13
Mutation Retry
14
Mutation Operations
15
Example
16
Data Shape
17
Mapping Table
18
Stress Test
19
Questions
20
Data lake updates
21
Kafka vs Spark
22
Time Travel
23
Snapshots
24
Callout
25
Why
26
Wrap Up
Description:
Explore the development of the engagement activity Delta Lake at Salesforce in this 51-minute tech talk. Discover how this platform supports Einstein Analytics and Sales Cloud Einstein by capturing and storing user engagement activities. Learn about ingesting data, implementing incremental reads, ensuring exact-once writes across tables, handling mutations with cascading changes, and normalizing tables in the data lake. Gain insights from Salesforce software engineers as they discuss the intricacies of building a high-volume, low-latency data pipeline for High Velocity Sales. Delve into topics such as data file hierarchy, atomic actions, metadata management, mutation operations, and stress testing. Understand the benefits of using Delta Lake for data lake updates, time travel capabilities, and snapshots in this comprehensive exploration of Salesforce's engagement activity platform.

Engagement Activity Delta Lake for Einstein Analytics and Sales Cloud Einstein

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