VVikaskumar·Sep 18What is a data dictionary in Salesforce Data 360 (and why you should build one first)?Learn what a data dictionary is in Salesforce Data 360 (Data Cloud), what to capture, and how to build one before configuration to avoid rework.4 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Sep 17⚡Data Cloud Deep Dive: Data Discovery. The Step Everyone Wants to SkipWhy skipping data discovery is the shortcut, in a Data Cloud project and a practical inventory template to avoid it.5 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Aug 16⚡Data Cloud Deep Dive : Data Ethics in Data CloudConsent, purpose limitation, and the Consent API in Data Cloud — plus a practical checklist to run before ingesting any customer data.5 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Aug 15⚡Data Cloud Deep Dive — Primary Key, Foreign Key, and Cardinality — Data Modeling in One ExamplePrimary keys, foreign keys, and cardinality explained through one real Data Cloud example — Individual to Sales Order, mapped step by step.4 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Aug 14⚡ Data Cloud Deep Dive —Normalization and Denormalization in Data CloudData Cloud uses normalization for its core model and denormalization for graphs and activation. Here's exactly where each one applies and why.5 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Aug 13⚡Data Cloud Deep Dive — Standard DMO vs. Custom DMO — When to Actually Go CustomThe golden rule for choosing standard vs custom DMOs in Data Cloud, a 7-step decision process, and why documenting the decision matters.4 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Aug 12⚡Data Cloud Deep Dive — Data Types in Data CloudData Cloud auto-detects field data types, but DLO types are hard to change later. Here's how to plan mappings before they become a rebuild.5 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Aug 11 ⚡Data Cloud Deep Dive — The Data Cloud Data Model — Standard Entities, Subject Areas, and DMOsStandard entities, subject areas, DMOs, and harmonization explained — how the Data Cloud data model actually fits together.5 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Aug 10⚡Data Cloud Deep Dive — Data Modeling Foundation — Entities, Attributes, Relationships, and CardinalityThe four building blocks of any data model — entities, attributes, relationships, and cardinality — explained with Salesforce examples.3 min read·vikaskumarpandey.hashnode.dev
VVikaskumar·Aug 9⚡Data Cloud Deep Dive : Data 360 Data Spaces — One, or Many?Data 360 Data Spaces explained — what they separate, when to use the default, prefixes, governance, and the real trade-offs of going multi-space.14 min read·vikaskumarpandey.hashnode.dev
