Lesson 1: Data Cloud Architecture, Data Sources, Ingestion, Data Streams, and Data Lake Objects
Lesson Overview
This lesson develops practical skills in data cloud architecture, data sources, ingestion, data streams, and data lake objects for Salesforce Data Cloud Fundamentals (SDC101).
Topics Covered
Data Cloud capabilities, hyperscale architecture concepts, spaces, users, roles, and use cases
Data streams, batch and streaming ingestion, schedules, refresh, and monitoring
Data Lake Objects, fields, data types, keys, metadata, and source mappings
Data quality, profiling, normalization, retention, lineage, and source-of-truth decisions
Implementation planning, capacity, licensing, and governance
Practical Activity
Configure or analyze a scenario involving data cloud capabilities, hyperscale architecture concepts, spaces, users, roles, and use cases.
Build and validate an exercise covering salesforce crm, marketing cloud, cloud storage, databases, apis, and connector concepts and data streams, batch and streaming ingestion, schedules, refresh, and monitoring.
Use tests, logs, reports, or documentation to verify implementation planning, capacity, licensing, and governance.
Key Takeaways
Explain data cloud capabilities, hyperscale architecture concepts, spaces, users, roles, and use cases in the context of Salesforce Data Cloud Fundamentals (SDC101).
Apply practical methods for salesforce crm, marketing cloud, cloud storage, databases, apis, and connector concepts and data streams, batch and streaming ingestion, schedules, refresh, and monitoring.
Test, document, and troubleshoot implementation planning, capacity, licensing, and governance.
