Decoupling Default Semantic Models in Microsoft Fabric
Microsoft Fabric is introducing a significant architectural change that gives data professionals more control over their semantic modeling experience. Starting November 20, 2025, default semantic models will be decoupled from their parent items.
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LanaCloud Team
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8 min read
Microsoft Fabric
Data Engineering
Semantic Models
Cloud
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Building Enterprise Data Warehouses with Azure Synapse Analytics
Azure Synapse Analytics has revolutionized how organizations approach data warehousing and ETL processes. Learn how to leverage Synapse to build robust, scalable data warehouse solutions with best practices and real-world examples.
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LanaCloud Team
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12 min read
Azure Synapse
ETL
Data Warehouse
Azure
Cloud
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Mastering ETL with Databricks: Window Functions in PySpark and SQL
Discover how to leverage window functions in Databricks for sophisticated ETL transformations. Learn practical examples using both PySpark and T-SQL, including ranking, running totals, moving averages, and lag/lead operations.
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LanaCloud Team
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15 min read
Databricks
PySpark
SQL
ETL
Window Functions
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Databricks Unity Catalog: Schema, Table Governance & PII Security at Scale
Learn how to build a robust PII governance framework using Databricks Unity Catalog — covering column-level security, dynamic data masking, row filters, and audit logging to meet PIPEDA and GDPR requirements.
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LanaCloud Team
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14 min read
Databricks
Unity Catalog
Data Governance
PII
Security
Delta Lake
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From Raw to Certified: How a Dataset Gets Promoted in a Data-Driven Organization
Not all data is created equal. Discover the organizational process — roles, criteria, and governance workflow — that takes a dataset from a raw landing zone to a formally certified, business-trusted source of truth.
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LanaCloud Team
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13 min read
Databricks
Data Governance
Unity Catalog
Data Quality
Medallion Architecture
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Building a Production-Grade Medallion Architecture on Microsoft Fabric
An end-to-end Bronze → Silver → Gold build on Microsoft Fabric using AdventureWorks as an on-premises source — covering RLS/OLS enforcement, FinOps (61.5% compute reduction), fan-out orchestration, KQL monitoring, and diagnosing a real platform bug through controlled isolation testing.
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LanaCloud Team
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20 min read
Microsoft Fabric
Medallion Architecture
Data Engineering
PySpark
Lakehouse
FinOps
KQL
Power BI
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