AnalyticsCreator
@AnalyticsCreato
Followers
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Following
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Statuses
319
Data Warehouse/Analytics automation technology
München, Bayern
Joined November 2017
▶️60 Minutes to create from SAP source a DWH on MS SQL or Azure SQL DB is waiting for you on our YouTube Channel! Don't forget to subscribe🤓 https://t.co/fvR4A9wSLo
#PowerBI #azure #dwh #100DaysOfCode
https://t.co/Q2R8fY1x5y
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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
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Design like a developer. Deploy like an engineer. You get traceable metadata, consistent automation, and clean SQL-generation every time. #MetadataDriven #ModernDataStack #EnterpriseData
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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
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Metadata-Driven ≠ Low-Code Structured development—not abstraction. 👉 See structured modeling in action: https://t.co/k7qGLhflJ7
#ModelFirst #DataVault #SQLDevelopment #AnalyticsCreator #MetadataDriven
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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
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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
analyticscreator.com
Slowly Changing Dimensions (SCD Type 2) enable historical accuracy but are complex to implement manually. Learn how AnalyticsCreator automates historization across SQL Server and Microsoft Fabric.
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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
analyticscreator.com
Slowly Changing Dimensions (SCD Type 2) enable historical accuracy but are complex to implement manually. Learn how AnalyticsCreator automates historization across SQL Server and Microsoft Fabric.
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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
analyticscreator.com
Slowly Changing Dimensions (SCD Type 2) enable historical accuracy but are complex to implement manually. Learn how AnalyticsCreator automates historization across SQL Server and Microsoft Fabric.
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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
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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
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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
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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
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Metadata-Driven ≠ Low-Code Structured development—not abstraction. 👉 See structured modeling in action: https://t.co/WkQvl4km8J
#ModelFirst #DataVault #SQLDevelopment #AnalyticsCreator #MetadataDriven
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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
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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
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Change the Model. Regenerate the System. Agility means regenerating, not recoding. 👉 Keep your DWH agile: https://t.co/kI3CkkQhyj
#MetadataDriven #DWHAutomation #DataModeling #SQLDevelopment #AnalyticsCreator
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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/3SIQBHgQEW
#MetadataDriven #AnalyticsCreator #ModernDataStack
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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
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Your Metadata = Your Architecture Design once. Reuse everywhere. 👉 Build your architecture on metadata: https://t.co/WKX4moIIIV
#MetadataDriven #DataWarehouseAutomation #EnterpriseData #ModelFirst
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⚡ Speed 🛡️ Control 🔁 Reusability 👉 Start modeling faster: https://t.co/LqUIFcONXP
#AnalyticsCreator #MetadataDriven #DataWarehouseAutomation #DWHAutomation
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