Metadata-Driven ≠ Low-Code Structured development—not abstraction. 👉 See structured modeling in action: https://t.co/k7qGLhflJ7 #ModelFirst #DataVault #SQLDevelopment #AnalyticsCreator #MetadataDriven

Design like a developer. Deploy like an engineer. AnalyticsCreator lets you model business logic, data lineage, historization, and transformations in structured grids. Get traceable metadata, consistent automation, and clean SQL every time. #DataModeling #MetadataDriven

⚡ Speed 🛡️ Control 🔁 Reusability 👉 Start modeling faster: https://t.co/LqUIFcONXP #AnalyticsCreator #MetadataDriven #DataWarehouseAutomation #DWHAutomation

Connect sources, define layers, build transformations, historize changes, generate facts and dimensions. AnalyticsCreator’s metadata design studio lets you do it all through structured metadata—no coding required. #MetadataDriven #ModernDataStack #EnterpriseData

Your Metadata = Your Architecture Design once. Reuse everywhere. 👉 Build your architecture on metadata: https://t.co/WKX4moIIIV #MetadataDriven #DataWarehouseAutomation #EnterpriseData #ModelFirst

Wizards in AnalyticsCreator support DWH modeling, SCD historization, import logic, and calendar/time dimensions. And under the hood? It’s all editable, governed metadata. 👉 Start modeling faster: https://t.co/pfOHHxgoSN #AnalyticsCreator #MetadataDriven #DataWarehouseAutomation

Stop Rewriting SQL. Start Designing with Metadata. Redundant SQL is a design flaw, not a badge of honor. Free your SQL skills for what's unique—not for boilerplate DWH plumbing. #NoMoreManualSQL #SQLDevelopment #ModelFirst

When source structures or business logic changes, just update the metadata in AnalyticsCreator. Let the platform do the rest—generating everything from SSIS to documentation. 🛠️ Change once 🔁 Regenerate all 📉 Zero code debt 👉 https://t.co/Wm11ypO4TO #DataModeling

Change the Model. Regenerate the System. Agility means regenerating, not recoding. 🛠️ Change once 🔁 Regenerate all 📉 Zero code debt 👉 Keep your DWH agile: https://t.co/oVrDotExk9 #MetadataDriven #DWHAutomation #DataModeling #SQLDevelopment #AnalyticsCreator

Model First / Then Generate. Shift from scripting to metadata modeling. This is how modern data warehouses should be built—consistently, securely, and fast. #ModelFirst #MetadataDriven #EnterpriseData

Design like a developer. Deploy like an engineer. You get traceable metadata, consistent automation, and clean SQL-generation every time. #MetadataDriven #ModernDataStack #EnterpriseData

AnalyticsCreator generates for multiple targets with the same metadata: 🔹 SQL Server 🔹 Azure SQL / Synapse 🔹 ADF / SSIS 🔹 Power BI / Tableau 🔹 GitHub / DevOps 👉 Metadata-first. Target-agnostic. https://t.co/aqc8izJA0B #MetadataDriven #AnalyticsCreator #ModernDataStack

Thanks AnalyticsCreator for the follow! I love X and look forward to your tweets! Cheers

If change tracking in your dimensions still means hand‑crafted MERGE statements, there’s a faster, safer way - a metadata‑driven approach with AnalyticsCreator: Automate SCD Type 2 Historization in Microsoft Fabric

Here is a clear, step‑by‑step on automating SCD Type 2 in Microsoft Fabric. Worth a read if you care about trustworthy, time‑aware reporting. #MicrosoftFabric #DataGovernance #SCD2 Automate SCD Type 2 Historization in Microsoft Fabric

SCD2 in Fabric—without the heavy lifting ✔️Ingest: ADF → Fabric SQL (landing/IMP) ✔️Model: Define SCD on the dimension; we add versioning columns and keys automatically ✔️Deploy anywhere: Works with Fabric SQL and SQL Server (MI/VM/on‑prem) https://t.co/DihBxD6kzI

Blogged: Tinkering with AnalyticsCreator (@analyticscreato). Read more at https://t.co/GoX4sYadkL. #dataengineering #enterprise #datawarehouse #ETL #codegeneration

Continuous Integration and Continuous Delivery (CI/CD) for Data Pipelines: It is a Game-Changer with the AnalyticsCreator. https://t.co/0sYnPObjwM

@RadioGenoa