Zero to Hero on Salesforce Data Cloud (Data 360) Training

Partition data with data spaces in Salesforce Data Cloud and assign access via permission sets. Ensure HR data remains separate from finance data and marketing access is restricted.

Upload Zara e-commerce data to a Salesforce developer org using the data manager, create an object from a spreadsheet, and verify 1,000 records from a CSV.

Set up an AWS account, create an IAM user with S3 access, create a bucket named Zara store data, and upload the Zara store CSV for Data Cloud integration.

Ingest a Salesforce standard object into data cloud by creating a data stream for contacts, applying a mailing country filter (USA), and validating results in data lake and data explorer.

Connect your data cloud to any system using ingestion api for real-time, rest-based integration. Enable secure, universal connectivity, supporting mobile events, IoT sensors, and legacy systems.

Explore streaming and bulk ingestion APIs in Salesforce data cloud, including real-time fire-and-forget with micro-batches and 200 KB limits, plus bulk jobs, CSV uploads, and upsert/delete workflows.

Learn to create and upload a yaml file for the data cloud via the ingestion API, defining an OpenAPI 3.0.0 structure with installation and catalog objects.

Create a connected app to enable secure system authentication for the data cloud ingestion api by issuing a client id and client secret and sharing credentials with the legacy system.

Learn to ingest engagement data into Salesforce Data Cloud using Postman, including authentication, token usage, and sending payloads to ingestion APIs for quick, two-part practice.

Master data exploration and querying with Data Explorer and query editor, edit columns, apply filters, and run SQL or Salesforce Object Query Language without coding, then save and reuse queries.

Load employee data from Excel into data cloud and implement visibility controls. Restrict salary and credit card details for users; show first name, last name, email, bank name, and gender.

Upload a csv into data cloud, create a uuid as primary id, tag data with governance classifications (ccpa, gdpr, hipaa, cpi), then propagate tags to demos and insights.

Set up a data governance user in Salesforce Data Cloud by creating a user, creating and assigning a permission set and a custom permission, and prepping for policy configuration.

Enforce object level access with data governance by whitelisting data lake objects for users. Define rules, apply object tagging and classification, and assign access via permission sets to control access.

Explore contact point DMO as a structured data object for connecting with customers via phone, email, or address, with separate records and mapping from data lake to support identity resolution.

Map Zara store data by syncing online Salesforce CRM with AWS S3 sources, compare counts across streams, map fields to demos, and verify data ingestion using the query editor.

Learn how fully qualified keys and qualifier keys prevent duplicate records by unifying data from e-commerce and CRM with data transform for unique keys.

Discover how data transform joins online and offline data lake objects, removes duplicates, and creates a unified customer view before mapping to demos.

Merge Salesforce and two AWS datasets, connect to streams, handle missing names and phone formats, and aggregate by common emails to create a single unified DLO.

Explore how to join two data sets using left, right, inner, full outer, lookup, and cross joins in a batch data transform, with Salesforce-specific lookup optimization.

Learn to use batch data transform in Salesforce data cloud to clean and merge datasets, perform joins (outer/inner), sum purchases, format phone numbers, and build a demo customer data set.

Add the data lake object to the data space, map fields in data transform, and verify mappings with Dev Console or Salesforce Inspector for correct gross purchase and address.

Map customer data across demos by linking email as the primary key, aligning party type and party identification, and syncing contact and party records in Salesforce data cloud training.

Learn to clean up production data after mapping by using a data transform filter that targets records with a null primary key and uses replace to purge data.

Explore real-time streaming data transform in Salesforce data cloud, using SQL to configure data lake objects, merge datasets, and apply JSON table, concatenation, coalesce, date casting, and conditional logic.

Learn to build calculated insights with visual builder in Salesforce data cloud, aggregating counts by customer from a retail data set stored in AWS.

Write sql for calculated insights to aggregate unit price by customer, use sum and case to classify hot, warm, and cold customers, then review results in data explorer.

Learn how to segment data in Salesforce Data Cloud, exploring standard, waterfall, nested, real-time, Einstein lookalike segments, and how to use container paths and attributes to target audiences.

Define an activation target by whitelisting external systems and supplying AWS credentials to establish the connection. Publish the segment and configure activations to expose fields while complying with privacy requirements.