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VVikaskumarvikaskumarpandey.hashnode.devAug 16 · 5 min read

⚡Data Cloud Deep Dive : Data Ethics in Data Cloud

Table of Contents What is data ethics? Why data ethics matters Key data ethics principles How Data Cloud supports data ethics Practical data ethics review Avoid ingesting everything Key takeaway 1.

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VVikaskumarvikaskumarpandey.hashnode.devAug 15 · 4 min read

⚡Data Cloud Deep Dive — Primary Key, Foreign Key, and Cardinality — Data Modeling in One Example

Table of Contents Primary key Foreign key Cardinality Data Cloud example How the concepts work together Why these concepts matter Key takeaway 1. Primary key A primary key is a field — or combinatio

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VVikaskumarvikaskumarpandey.hashnode.devAug 14 · 5 min read

⚡ Data Cloud Deep Dive —Normalization and Denormalization in Data Cloud

Table of Contents Normalization Denormalization Comparison Choosing the right approach Normalization in Data Cloud Handling denormalized source data Denormalization in Data Cloud Key takeaway 1. Nor

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VVikaskumarvikaskumarpandey.hashnode.devAug 13 · 4 min read

⚡Data Cloud Deep Dive — Standard DMO vs. Custom DMO — When to Actually Go Custom

Table of Contents The golden rule Standard DMOs Custom DMOs Comparison Decision process Why document the decision Key takeaway 1. The golden rule Prefer standard DMOs whenever possible. Use a custom

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VVikaskumarvikaskumarpandey.hashnode.devAug 12 · 4 min read

⚡Data Cloud Deep Dive — Data Types in Data Cloud

Table of Contents Automatic data-type detection Why data types matter Date-type mismatch example The one mapping exception DLO data types are difficult to change Recommended planning process Ke

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VVikaskumarvikaskumarpandey.hashnode.devAug 11 · 5 min read

⚡Data Cloud Deep Dive — The Data Cloud Data Model — Standard Entities, Subject Areas, and DMOs

Table of Contents Overview Standard entities Why standard entities matter Subject areas DMO definition Harmonization Harmonization and identity resolution Custom DMOs Key takeaways 1. Overv

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VVikaskumarvikaskumarpandey.hashnode.devAug 9 · 14 min read

⚡Data Cloud Deep Dive : Data 360 Data Spaces — One, or Many?

Table of Contents What is a Data Space? Example: online and offline customers What can be separated using Data Spaces How Data Spaces work with ingestion The same source data in multiple Data Spaces

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VVikaskumarvikaskumarpandey.hashnode.devAug 8 · 12 min read

⚡Data Cloud Deep Dive: Data 360 Permissions and Permission Sets

Table of Contents The Salesforce access-control model Profiles Permissions Permission sets The four standard Data 360 permission sets Data Cloud Architect Activation Manager Activation Special

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VVikaskumarvikaskumarpandey.hashnode.devAug 7 · 10 min read

⚡Data Cloud Deep Dive: Three Ways to Explore Data 360

Table of Contents The three tools at a glance Data Explorer Profile Explorer Data Explorer vs. Profile Explorer Query Editor SQL vs. SOQL — an important distinction Data Explorer vs. Query Editor How

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VVikaskumarvikaskumarpandey.hashnode.devAug 4 · 8 min read

⚡ Data Cloud Deep Dive: Data Warehouse vs. Data Lake vs. Data Lakehouse — and Where Data 360 Fits

Table of Contents Why these concepts matter Data warehouse Data lake Data lakehouse Comparing the three Where Data 360 fits The library analogy Key terms Memory aid Knowledge check Three d

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⚡Data Cloud Deep Dive : Data Ethics in Data Cloud

⚡Data Cloud Deep Dive — Primary Key, Foreign Key, and Cardinality — Data Modeling in One Example

⚡ Data Cloud Deep Dive —Normalization and Denormalization in Data Cloud

⚡Data Cloud Deep Dive — Standard DMO vs. Custom DMO — When to Actually Go Custom

⚡Data Cloud Deep Dive — Data Types in Data Cloud

⚡Data Cloud Deep Dive — The Data Cloud Data Model — Standard Entities, Subject Areas, and DMOs

⚡Data Cloud Deep Dive : Data 360 Data Spaces — One, or Many?

⚡Data Cloud Deep Dive: Data 360 Permissions and Permission Sets

⚡Data Cloud Deep Dive: Three Ways to Explore Data 360

⚡ Data Cloud Deep Dive: Data Warehouse vs. Data Lake vs. Data Lakehouse — and Where Data 360 Fits

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