Learn Data Management
Data plays a key role in any business, but it’s often messy, incomplete, or not optimized for analytics. Use connectors and recipes to carry out all your Salesforce data tasks.
Note: We are still tagging older content and there might be sections that are empty. In the meantime check out the Browse All page.
- Connecting & integrating data
- Preparing data
- Make data smarter with ML
- Managing data assets
- Carrying out data tasks with Data Pipelines
Connecting & integrating data
To work with data we need data available. Find and connect different data sources.
Preparing data
Join, enrich and enhance your data with recipes or dataflow and ready for exploration.
Multi-level Account Hierarchy: Flatten, Aggregate, Join, Transform and Report!
Make data smarter with ML
Leverage out-of-the-box smart transformations to get even more value out of your data.
Managing data assets
Understand how to best orchestrate your flow of data, keep data performance-optimized, and maintain a clean data manager.
Data Prep Scheduling – Data Orchestration Part 6
Dependent Data Jobs – Data Orchestration Part 7
Optimizing long-running dataflows
Clean up Data Manager Assets
Introducing the dataflow visualizer
Practical Approach to Converting Dataflows to Recipes
Carrying out data tasks with Data Pipelines
Use Salesforce Data Pipelines to manage different data tasks at scale natively in Salesforce.
Subscribe
Want to be notified when new blogs are published? Sign up below.