What if your data tools actually talked to each other? With Microsoft Fabric, they do — blending lakes, pipelines, reports, and governance into a single, unified experience.
These instructor-led courses dive into real-world scenarios: syncing across OneLake, streamlining workflows with Synapse, or generating live insights through Power BI.
Join live online sessions via interactive remote desktop, or onsite sessions in Lahore, built for teams navigating complex data ecosystems.
Training can take place at your offices in Lahore or at a NobleProg learning center, with hands-on labs tailored for both IT pros and business users.
Also called OneLake Fabric, Microsoft Data Fabric, or Fabric for Power BI, this training helps organizations untangle their data stack — and weave it into something powerful.
NobleProg – Your Local Training Provider
Lahore - Classroom
The Enterprise, Multan Road, Lahore, pakistan, 54500
For Sales Enquires and Meetings
Please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate office
This instructor-led live training in Lahore covers the core concepts and hands-on fundamentals of Microsoft Fabric, helping participants build modern data solutions with integrated analytics, governance, and visualization tools for real-world work environments and business needs.
This instructor-led, live training in Lahore (online or onsite) is aimed at intermediate-level data professionals who wish to implement a lakehouse solution using Microsoft Fabric.
By the end of this training, participants will be able to:
Understand the architecture and components of Microsoft Fabric.
Configure and manage a Lakehouse using Microsoft Fabric.
Ingest and transform data using Apache Spark.
Utilize Delta Lake tables for versioning and managing data.
Implement data ingestion pipelines with Dataflows Gen2.
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