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VVikaskumarvikaskumarpandey.hashnode.devSep 18 · 4 min read

What is a data dictionary in Salesforce Data 360 (and why you should build one first)?

TL;DR: A data dictionary is a living document that records every data decision in your Data Cloud project. Build it during discovery and it prevents rework later. What is a data dictionary? A data di

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VVikaskumarvikaskumarpandey.hashnode.devSep 17 · 5 min read

⚡Data Cloud Deep Dive: Data Discovery. The Step Everyone Wants to Skip

Table of Contents What is data discovery? Why it actually matters Questions to answer before ingestion The "ingest everything" mistake Start small expand Building a discovery inventory Key take

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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 · 5 min read

⚡Data Cloud Deep Dive — Data Types in Data Cloud

Table of Contents Automatic data-type detection 1a. Supported data types Why data types matter Date-type mismatch example The one mapping exception DLO data types are difficult to change Recommende

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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 10 · 3 min read

⚡Data Cloud Deep Dive — Data Modeling Foundation — Entities, Attributes, Relationships, and Cardinality

Table of Contents What is a data model? Entities Attributes Relationships Cardinality Quick reference Key takeaway 1. What is a data model? A data model is a combination of four key elements:

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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 Spa

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Trending tags this week

What is a data dictionary in Salesforce Data 360 (and why you should build one first)?

⚡Data Cloud Deep Dive: Data Discovery. The Step Everyone Wants to Skip

⚡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 Modeling Foundation — Entities, Attributes, Relationships, and Cardinality

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