TimeXtender Data Delivery
TimeXtender is the low-code accelerator that sits on top of your Microsoft stack and delivers production-ready data pipelines, lineage, and governance — automatically. What takes months, done in weeks.
Fabric brings incredible capabilities together — but implementing it natively requires specialized expertise across multiple tools, languages, and disciplines. TimeXtender removes that barrier entirely.
Without an acceleration layer
Spark, Python, DAX, T-SQL — your team needs expertise across all of them just to build end-to-end pipelines.
Data Factory, Synapse, Power Query, Notebooks — each with its own interface, syntax, and learning curve.
Fabric's fragmented architecture makes end-to-end data lineage tracking nearly impossible without custom tooling.
Production-ready pipelines take weeks and require senior data engineers throughout the entire process.
The accelerated stack
TimeXtender generates all Spark, SQL, and transformation scripts automatically. One tool, one language to learn.
Ingest, transform, model, and deliver — all from a single cockpit. No context switching, no skill gaps.
Full lineage from source to dashboard — generated automatically, always up to date, audit-ready.
Automated star schemas, SCD, indexing, and incremental loading. Weeks of manual work done in days.
TimeXtender doesn't just simplify Microsoft Fabric — it adds capabilities that Fabric alone doesn't have. Here's what makes it different.
250+ pre-built connectors. Visual drag-and-drop transformations. TimeXtender auto-generates all the underlying scripts — Spark, SQL, Python — without your team needing to write a single line. Connect any source, transform any data, deliver to any destination.
See exactly where every data point comes from and where it goes — across every system, transformation, and model. Automatically generated, always up to date. When an auditor asks where a number came from, you show them in one click. The feature Microsoft Fabric alone can't give you.
TimeXtender auto-creates star schemas, handles slowly changing dimensions, manages indexing, and builds semantic layers — all without manual coding. Weeks of data modeling work delivered in hours, ready for Power BI from day one.
TimeXtender structures your entire data flow across three clean layers — from raw source data to Power BI-ready models. Every step automated, every transformation tracked, full lineage maintained throughout.
Your Data Sources
Raw data lands in the lakehouse exactly as it came from the source — schema detected, metadata captured, changes tracked automatically.
Data is cleaned, transformed, and modeled automatically. Star schemas, SCD, data quality rules — all generated without writing code.
Clean, trusted data delivered to Power BI, Azure Analysis Services, or any supported BI tool — with a semantic layer built in and lineage documented end-to-end.
Power BI
Microsoft Fabric
Azure SQL
Powers the entire pipeline
Full data lineage is maintained automatically across every layer — from source column to dashboard metric. Always up to date, always audit-ready.
TimeXtender shines in specific scenarios — and we'll tell you honestly when it's the right call and when it isn't. Here are the four situations where TimeXtender consistently outperforms raw Fabric implementation.
Talk to Our Team →You need to implement Fabric but don't have Spark or Python experts in-house. TimeXtender closes that gap — your analysts can build production pipelines without advanced coding skills.
Project timelines are tight and you can't afford a 6-month raw implementation. TimeXtender's automation cuts delivery time by up to 10x — weeks instead of months.
Your industry demands full data lineage, audit trails, and governance documentation. TimeXtender generates all of this automatically — insurance, finance, government, healthcare.
SAP, Oracle, Dynamics 365, HubSpot, Salesforce — TimeXtender's 250+ pre-built connectors handle complex source systems without custom code or dedicated integration engineers.
TimeXtender runs on top of Microsoft Fabric and Azure — using your existing licenses, your existing infrastructure, and your existing Power BI environment. It's the acceleration layer, not the replacement.
How the stack works together
Low-code interface
Auto-generated scripts
Data lineage
Microsoft Fabric
Azure SQL
Data Lake
Power BI
Dashboards
Self-service BI
Meraqi implements the full stack — TimeXtender + Microsoft Fabric + Power BI. One partner, end to end.
Our team holds DP‑600, DP‑700, PL‑300, Azure, and TimeXtender certifications — covering everything from cloud infrastructure to the semantic and automation layers that power modern data platforms.
TimeXtender complements your existing Microsoft licensing. If you're already on Fabric or Azure, adding TimeXtender doesn't require infrastructure changes — just faster delivery.
Most partners specialize in one tool. Meraqi implements TimeXtender, Fabric, Power BI, and Databricks — so you never need multiple vendors for your data stack.
A structured 4-step process built around TimeXtender best practices. We take ownership of the implementation so your team can focus on using the data, not building the infrastructure.
Map your current data sources, systems, and pain points. Identify which source connectors are needed and define the target data model before building anything.
Design the data model, define transformation rules, and configure TimeXtender's three-layer architecture (Ingest / Prepare / Deliver) aligned to your reporting needs.
Implement pipelines, data quality rules, lineage, and Power BI semantic layer — using TimeXtender's automation to generate what would take weeks of manual coding in days.
Train your team on the TimeXtender environment. Document the full architecture. Set up monitoring and alerting. Your team owns it — we stay available as it grows.
TimeXtender changes the math on data implementation. Let's look at what your specific data environment would look like — and how quickly we can deliver it.
We review your current data sources and show you exactly what a TimeXtender implementation would look like — with a realistic timeline and scope.
See TimeXtender build a pipeline in real time — from source connection to Power BI-ready model — so you understand exactly what "10x faster" means in practice.
Already have a data warehouse that needs modernizing? We map the migration to Fabric + TimeXtender — what moves, what gets simplified, and what gets replaced.
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