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Questions and Answers
What is the primary benefit of Data Cloud in terms of bringing data together?
What is the purpose of the Customer 360 Data Model?
How does Data Cloud facilitate data transformation?
What is the role of the Identity Resolution (IR) feature?
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What is the result of unifying customer data in Data Cloud?
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What is the purpose of data connectors and APIs in Data Cloud?
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What is the primary advantage of Data Cloud in terms of scalability?
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What is the purpose of the data transformation feature in Data Cloud?
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What is the main difference between a terabyte and a petabyte?
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What is the original use case that Customer Data Platform was designed for?
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What is the purpose of identity resolution rulesets in Data Cloud?
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What technology is used in Data Cloud to predict behavior?
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Study Notes
What is Salesforce Data Cloud?
- A data platform that combines the power of Salesforce Platform with a scalable infrastructure for near-real-time data processing
- Handles tremendous scale, including trillions of records, petabytes of data, and thousands of requests per second per customer
- 1 petabyte equals 1,000 terabytes, and 1 terabyte equals 1,000 gigabytes
Data Cloud Capabilities
- Expands Salesforce capabilities by using the best pieces of the developer-friendly Salesforce Platform and adding a highly scalable infrastructure
- Evolved from Customer Data Platform, now catering to broader use cases beyond marketing
How Data Cloud Works
- Connects various data sources, including batch and real-time streaming data
- Prepares data through transformation and data governance features
- Harmonizes data to a standard data model (Customer 360 Data Model)
- Unifies data with identity resolution rulesets
- Enables querying and analysis of data using insights
- Uses AI to predict behavior
- Allows analyzing, expanding, and acting on data in any channel
- Enables segmenting audiences and creating personalized experiences
- Outputs data to multiple sources to act on data based on business needs
Data Sources
- Connects to various Salesforce and external data sources, including:
- Sales, Service, Commerce, and Marketing Cloud Engagement connectors
- Amazon S3, Google storage connectors
- Ingestion API and Salesforce Interaction SDK
- Web and Mobile connectors
- MuleSoft connector
- And more!
Transform and Model Data
- Allows customers to prepare, cleanse, and transform data before use
- Harmonizes data from different sources into a standard data model (Customer 360 Data Model)
Unify, Enhance, and Analyze Your Data
- Unifies customer data into one profile
- Enhances data using insights and AI
- Creates segments and analyzes data in analytics tools, such as Tableau
- Uses Identity Resolution (IR) feature to identify and reconcile customer data records
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Description
Test your understanding of Salesforce Data Cloud, a powerful platform that enables near real-time data processing at tremendous scale. Learn about its capabilities and limitations.
