Dec 17, 2025
Metadata-Driven Data Platform Design for the Modern Data Stack
The modern data stack becomes fragmented when tools lack alignment. Metadata is the missing design layer that standardizes logic, enables automation,...
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Dec 17, 2025
Metadata-Driven Data Platform Design for the Modern Data Stack
The modern data stack becomes fragmented when tools lack alignment. Metadata is the missing design layer that standardizes logic, enables automation, and embeds governance by default. AnalyticsCreator turns metadata into an executable control plane for modeling, deployment, lineage, and CI/CD—across Microsoft Fabric, SQL Server, and Power BI.
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Posts by Richard Lehnerdt:
Dec 10, 2025
Why Power BI Needs a Data Warehouse: Semantic Models & Automation with AnalyticsCreator
Power BI is an incredible visualization and self-service analytics platform. But without a robust data warehouse (DWH) behind it, Power BI quickly...
Oct 27, 2025
Metadata-Driven Lineage in Microsoft Fabric: Automate Compliance and Governance
TL;DR: Metadata-driven lineage in Microsoft Fabric and Synapse turns compliance from a manual chore into a natural output of automation. Teams get...
Oct 24, 2025
Metadata-Driven Automation in Microsoft Data Warehousing: From Manual Builds to CI/CD
Metadata-driven automation replaces manual SQL and ETL coding in Microsoft SQL Server, Synapse, and Fabric by generating all data warehouse artifacts...
Oct 23, 2025
Why Metadata Should Be the Single Source of Truth in Microsoft Data Warehouses
Metadata is the backbone of modern Microsoft data warehouses. By using it as the single source of truth, teams can automate modeling, testing,...
Aug 20, 2025
How Metadata Powers Both Automation and Governance in Microsoft Fabric
Metadata is now both the input for automation and the anchor for governance. AnalyticsCreator builds with metadata; Microsoft Fabric governs with...
May 31, 2025
How to Make Data Mesh Work on Microsoft: Metadata Automation Is the Missing Link
Microsoft’s data stack is ready for Data Mesh—but without metadata automation, implementation becomes manual, fragmented, and unscalable....
May 16, 2025
Metadata Frameworks for Modern DataOps: How AnalyticsCreator Turns Metadata into Automation
Metadata is often treated as an afterthought—yet it plays a critical role in achieving scalable, governed, and efficient data operations. When...
Mar 20, 2025
SQL Server 2025: Native AI, Enhanced Security & Deep Fabric Integration
Microsoft’s recent announcement of SQL Server 2025 marks a major milestone in modern data management. With built-in AI capabilities, enhanced...
Mar 13, 2025
Top Business Intelligence Platforms 2025: Comparison Guide for Power BI, Tableau, Qlik & More
To make smart decisions, companies need to turn raw data into clear, reliable insights. This is where Business Intelligence (BI) platforms come in....
Mar 6, 2025
Data as a Product (DaaP): Why Rapid Prototyping Is Essential for Modern Data Teams
The concept of Data as a Product (DaaP) has rapidly become a cornerstone for organizations striving to unlock the full value of their data assets. As...
Feb 27, 2025
Thriving in a VUCA World: How AnalyticsCreator and Microsoft’s Data Ecosystem Enable Adaptive, Intelligent Data Strategies
Markets are turbulent. Leadership must be data-driven to navigate volatility, uncertainty, complexity, and ambiguity (VUCA). Business leaders and...
Sep 25, 2024
Oktoberfest Extravaganza: Fun, Fiction & Festive Data-Inspired Tales
Welcome to our Oktoberfest extravaganza! Every claim on this page is backed by real data—but we’ve dialed up the fun with some cheerful exaggeration....
Aug 28, 2024
Vendor Lock-in, Data Sovereignty and Sovereign Cloud: How Data Warehousing Protects Your Independence
The phenomenon of lock-in, where customers become dependent on a single provider, poses significant challenges to businesses and economies. This is...
Aug 20, 2024
The Power of the Semantic Layer: How AnalyticsCreator Simplifies BI and Data Modeling
The ability to extract meaningful insights from vast datasets is critical for modern businesses. The semantic layer—an essential component of...
Aug 20, 2024
Revolutionizing Data Management with Automated Data Pipelines
Revolutionizing Data Management with Automated Data Pipelines
Efficient data management is crucial for businesses to stay competitive. Automated...
Aug 14, 2024
How Citizen Data Scientists Accelerate Time-to-Insight with AnalyticsCreator
The ability to rapidly transform data into actionable insights has become a defining competitive advantage. Organizations that can quickly adapt to...
Jul 18, 2024
Bridging the Data Trust Gap: How Lineage, Historization & Metadata Improve Data Transparency
Building trust in data begins with understanding a core challenge: the Data Trust Gap. This gap emerges when data producers and data consumers lack...
