Tag feed

#data-cloud

18 posts0 followers

Explore Hashnode

Alternatives

Trending tags this week

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

0

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

0

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

0

VVikaskumarvikaskumarpandey.hashnode.devAug 6 · 10 min read

⚡Data Cloud Deep Dive : The Data 360 Sandbox — What Actually Gets Copied

Table of Contents What is a Data 360 sandbox? Supported sandbox types The rule that matters: metadata-only What actually gets copied Why use a Data 360 sandbox What the sandbox does not provide

0

VVikaskumarvikaskumarpandey.hashnode.devAug 5 · 12 min read

⚡Data Cloud Deep Dive: Data 360 Provisioning — Existing Org or Dedicated Org?

Data Cloud Deep Dive — Day 5: Data 360 Provisioning — Existing Org or Dedicated Org? Series: Data Cloud Deep Dive | SwiftNotes by Raj Table of Contents Why provisioning is an architectural decision A

0

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

0

VVikaskumarvikaskumarpandey.hashnode.devAug 3 · 8 min read

⚡ Data Cloud Deep Dive — What Data 360 Does — and When Not to Use It

Table of Contents The business scenario How Data 360 handles messy identity Unified record vs. golden record — Data 360 vs. MDM The four primary purposes of Data 360 What Data 360 is not Capability a

0

VVikaskumarvikaskumarpandey.hashnode.devAug 2 · 8 min read

⚡Data Cloud Deep Dive: How Data 360 Actually Works, Step by Step.

Table of Contents The seven-stage flow Step 1: Identify data sources Step 2: Connect the data sources Step 3: Ingest the data — batch vs. streaming Step 4: Harmonize the data Step 5: Unify the data S

0

VVikaskumarvikaskumarpandey.hashnode.devAug 1 · 6 min read

⚡Data Cloud Basics: Why More Data Isn't Enough

Table of Contents The broader data challenge Why traditional integrations break down The business problems Data Cloud actually solves A real scenario: three orgs, one confused customer The goal —

0

SSapotaCorpsapotacorpvn.hashnode.devJul 12 · 9 min read

Databricks to Data Cloud to Marketing Cloud: Building a Real Activation Flow (and 11 Mistakes I Hit)

"Load the customer data into the CDP and send the campaign." That sentence gets written into a lot of statements of work, and it sounds like an afternoon of clicking. In reality, salesforce data cloud

0

#data-cloud

Search Hashnode

#data-cloud

Explore Hashnode

Trending tags this week

⚡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 : The Data 360 Sandbox — What Actually Gets Copied

⚡Data Cloud Deep Dive: Data 360 Provisioning — Existing Org or Dedicated Org?

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

⚡ Data Cloud Deep Dive — What Data 360 Does — and When Not to Use It

⚡Data Cloud Deep Dive: How Data 360 Actually Works, Step by Step.

⚡Data Cloud Basics: Why More Data Isn't Enough

Databricks to Data Cloud to Marketing Cloud: Building a Real Activation Flow (and 11 Mistakes I Hit)