Imagine a scenario where your data tools communicate effortlessly with one another. With Microsoft Fabric, this becomes a reality, seamlessly integrating data lakes, pipelines, reports, and governance into a cohesive platform.
These instructor-led courses explore practical use cases, such as synchronizing data across OneLake, optimizing workflows using Synapse, and deriving real-time insights via Power BI.
Participate in live online classes through interactive remote desktop connections, or attend onsite sessions in Bhutan, specifically designed for teams managing intricate data ecosystems.
Training is available at your premises in Bhutan or at a NobleProg learning center, featuring hands-on labs customized for both IT specialists and business professionals.
Also known as OneLake Fabric, Microsoft Data Fabric, or Fabric for Power BI, this training assists organizations in simplifying their data stack and transforming it into a robust solution.
NobleProg – Your Local Training Provider
Bhutan, Thimphu - Classroom
near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001
Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, 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 offices.
Bhutan, Paro - Classroom
near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001
Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung Dzong, and possess all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, 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 offices.
Microsoft Fabric serves as a consolidated analytics platform that unifies data engineering, data integration, data warehousing, data science, real-time analytics, and business intelligence under a single framework.
This instructor-led live training (available online or onsite) is designed for intermediate-level data professionals who aim to leverage Microsoft Fabric to construct contemporary data solutions featuring integrated analytics, governance, and visualization capabilities.
Upon completion of this training, participants will be capable of:
Comprehending the components of Microsoft Fabric and their integration with the Microsoft ecosystem.
Creating and administering Fabric Workspaces with appropriate access control.
Developing and managing Lakehouses to centralize and analyze data.
Utilizing notebooks for exploratory analysis and transformation employing Python and SQL.
Designing and automating data flows through visual pipelines.
Modelling and managing data via the Data Warehouse and Semantic Model layers.
Designing and publishing interactive dashboards using Power BI within Fabric.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for this course, please contact us to arrange.
This instructor-led, live training in Bhutan (online or onsite) is designed for 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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