Salesforce Data Cloud (Data 360): Complete Hands-On Course

Name: Salesforce Data Cloud (Data 360): Complete Hands-On Course
Price: 1099 INR
Availability: InStock

Categories: Data Cloud

Wishlist

Modules: 8
Lessons: 6
Quizzes: 1
Total course (est.): 10h 30m
Level: Intermediate

What you will be able to do

Explain what Data Cloud (Data 360) is and the problem it solves
Build the full pipeline: data stream, DLO, DMO, identity resolution, unified profile
Set up and navigate your own free Data Cloud org
Design with credits in mind and avoid the most costly real-project mistake
Answer the Data Cloud questions interviewers actually ask

Before you start

Basic Salesforce navigation (objects, records, Setup)
A free Salesforce Developer Edition org (we create it in Lesson 1.4)
No paid licence needed

Who this course is for

Salesforce admins and developers moving into Data Cloud
Consultants preparing for Data Cloud projects, the Data Cloud Consultant exam or interviews
Marketing Cloud professionals learning Salesforce's CDP

How you complete this course

Finish all 6 lessons.
Pass the 1 quiz. The pass mark is 80%.
Then click Complete course. It unlocks once everything above is done.

About Course

Learn Salesforce Data Cloud (now Data 360) the way it’s used on real projects. You follow one company, XYZ Company, from scattered customer data to one trusted customer profile, and build every step yourself in a free Developer Edition org.

Each topic gives you a short video, written notes, a hands-on build, a quiz and the interview questions that topic gets asked. It’s built for Salesforce admins, developers and consultants, and it prepares you for the Data Cloud Consultant exam and real interviews.

Topic 1 is free to preview: what Data Cloud is, how the pipeline works, the key terms, and setting up your own Data Cloud org.

Course Content

Topic 1: Data Cloud Fundamentals
What Data Cloud (Data 360) is, how its data pipeline fits together, the terms every later topic uses, and how to set up your own free Data Cloud org.

1.1 What Is Data Cloud (Data 360)?

13:27
1.2 The Data 360 Pipeline

11:45
1.3 Core Terminology

04:13
1.4 Lab: Set Up Your Data Cloud Org

08:45
1.5 Data Spaces and Consumption Pricing

06:35
1.6 Revision Sheet and Interview Questions
Topic 1 Quiz: Fundamentals

Topic 2: Data Ingestion (coming soon)
Bring Priya's data in for real: Salesforce CRM and file upload data streams, data stream categories, full vs incremental refresh, and checking your data in Data Explorer.

Topic 3: Data Modeling and Mapping (coming soon)
Map DLOs to the Customer 360 Data Model: Individual, Contact Point Email, Sales Order and more. Build relationships and avoid the mapping mistakes that break identity resolution.

Topic 4: Identity Resolution (coming soon)
Build match and reconciliation rules, run unification, and see Priya's three records become one Unified Individual in Profile Explorer.

Topic 5: Calculated Insights (coming soon)
Write SQL-based metrics such as lifetime value and last order date, and understand batch vs streaming insights and what they cost.

Topic 6: Segmentation (coming soon)
Build audiences from unified profiles and insights, for example "customers who ordered in the last 30 days", and learn how segment refresh works.

Topic 7: Activation (coming soon)
Send segments to activation targets such as Marketing Cloud and Salesforce CRM, and choose the right attributes and contact points.

Topic 8: Data Actions, Flows and Agentforce (coming soon)
Trigger Flows and automation when Data Cloud data changes, and ground Agentforce with unified customer data.

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Course overview

What you will be able to do

Before you start

Who this course is for

How you complete this course

About Course

Course Content

Topic 1: Data Cloud Fundamentals What Data Cloud (Data 360) is, how its data pipeline fits together, the terms every later topic uses, and how to set up your own free Data Cloud org.

1.1 What Is Data Cloud (Data 360)?

1.2 The Data 360 Pipeline

1.3 Core Terminology

1.4 Lab: Set Up Your Data Cloud Org

1.5 Data Spaces and Consumption Pricing

1.6 Revision Sheet and Interview Questions

Topic 1 Quiz: Fundamentals

Topic 2: Data Ingestion (coming soon) Bring Priya's data in for real: Salesforce CRM and file upload data streams, data stream categories, full vs incremental refresh, and checking your data in Data Explorer.

Topic 3: Data Modeling and Mapping (coming soon) Map DLOs to the Customer 360 Data Model: Individual, Contact Point Email, Sales Order and more. Build relationships and avoid the mapping mistakes that break identity resolution.

Topic 4: Identity Resolution (coming soon) Build match and reconciliation rules, run unification, and see Priya's three records become one Unified Individual in Profile Explorer.

Topic 5: Calculated Insights (coming soon) Write SQL-based metrics such as lifetime value and last order date, and understand batch vs streaming insights and what they cost.

Topic 6: Segmentation (coming soon) Build audiences from unified profiles and insights, for example "customers who ordered in the last 30 days", and learn how segment refresh works.

Topic 7: Activation (coming soon) Send segments to activation targets such as Marketing Cloud and Salesforce CRM, and choose the right attributes and contact points.

Topic 8: Data Actions, Flows and Agentforce (coming soon) Trigger Flows and automation when Data Cloud data changes, and ground Agentforce with unified customer data.