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.
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- 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.
Accessing your Google Analytics data
OAuth 2.0 Support added for the Snowflake Input Connector
Join, enrich and enhance your data with recipes or dataflow and ready for exploration.
From Dataflow to Data Prep
Demystifying Dates in Recipes
Abra Cadabra, Dataflows to Recipes!
Want to start using CRM Analytics Recipes? Try a Template!
Next-gen Visual Data Prep: What’s Happening with Dataflows and Recipes?
Getting the most out of Recipe data preview samples
Make data smarter with ML
Leverage out-of-the-box smart transformations to get even more value out of your data.
A Deep Dive on Detect Sentiment
New Account Segmentation Template using Clustering Transform
Managing data assets
Understand how to best orchestrate your flow of data, keep data performance-optimized, and maintain a clean data manager.
Data Orchestration in Tableau CRM
Data Sources and Landscape – Data Orchestration Part 1
The Concepts of Data Sync – Data Orchestration Part 2
Considering Governance Limits – Data Orchestration Part 3
External Data and Data Volume – Data Orchestration Part 4
Maintaining Data Sync and Data Prep Considerations – Data Orchestration Part 5
Carrying out data tasks with Data Pipelines
Use Salesforce Data Pipelines to manage different data tasks at scale natively in Salesforce.
Flag to clean with Salesforce Data Pipelines
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