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Microsoft Fabric Bootcamp

By Sahil In Grow Data Skills

Live Classes (1-Feb-2025)
English
Completion Certificate

1 Year

Validity (From the date of Enrollment)

40 Hours

Duration

16

Sessions

3

Projects

INR 3500

Admission Open - 70 Seats Left!

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This course includes

Content Duration40 Hours
Total Video Sessions16
Total Industry Projects3
Quality Assignments & quizzes after each module
Interview preparation guide
Dedicated placement assistance
Resume & Linkedin profile making
Doubt support on private discord community
Certificate of completion

Tech stack you'll learn

Course Content

Databases & Warehousing Fundamentals
Data Architecture Overview
Modern Data Stack: Data lakes, Delta lakes, Lake houses, OneLake
Microsoft Tech Stalk Overview Overview: Introduction, Market Share, Competitors

Overview of Microsoft Fabric components and architecture
Fabric Licensing & Costing
Key use cases of Fabric in modern data platforms
Setting up Fabric capacity & workspace

Setting up Lakehouses, Warehouses, and SQL Endpoints in Fabric
Managing Delta tables and Parquet files in Fabric
Working with Dataflows and managing transformations
Azure Data Factory integration for data orchestration
Using SQL for querying and managing data in Fabric
Python integration in Microsoft Fabric:
Exploring Notebooks for data engineering/ETL tasks.
Introduction to Spark in Fabric
Distributed data processing with PySpark

Exploring Data Modelling in Microsoft Fabric
Creating Star & Snowflake schema data models
Creating measures and calculated columns in Import, DirectQuery, & DirectLake modes
Configuring Row-Level Security (RLS) and Object-Level Security (OLS)
Implementation and best practices

Deep dive into Power BI integration
Connecting to Lakehouses and other Fabric data sources
Using Dataflows, PowerQuery in Power BI
Best practices for building scalable dashboards
Advanced visuals and performance optimization
Exploring Tabular Editor & DAX Studio

Workspace Management in Fabric
Setting permissions and managing resources.
Monitoring and optimization:
Fabric activity monitoring and troubleshooting.
Capacity Metrics App Overview
Managing resources, access & compute
Best practices for access management
Role-based access, workspace roles, and custom roles

✅ Project - 1: Building Medallion Architecture in Microsoft Fabric Warehouse
Problem statement Overview
Creating Workspace & Lakehouse
Ecommerce Dataset Overview
Loading & Preparing data into fabric using shortcuts, Spark & SQL
Creating Bronze, Silver & Golden Layers in DWH
Creating Semantic Models
Connecting to Semantic Model Using Power BI Desktop in Direct Lake and Direct Query Mode
Managing Access & Governance

✅ Project - 2: Implementing Lakehouse with Fabric
Problem statement Overview
Create and ingest data with a Microsoft Fabric Lakehouse
Loading data into DWH
Analyze data with Spark
Use delta tables
Create and use a Dataflow Gen2 in Microsoft Fabric
Ingest data with a pipeline
Building deployment pipelines

✅ Project - 3: Building an end-to-end ETL pipeline using Fabric
Problem statement Overview
Downloading the data files
Creating Lakehouse for Landing Data
Creating ADF Pipeline from Landing to Staging
Dataflow from Staging to golden layer
End-to-End Data Processing
Semantic Modelling and Power BI
Replacing the Dataflow with a Stored Procedure

Attention Seeking Resume Preparation and Interview Strategies
Strategies To Crack Tech Interviews
Linkedin Profile Making
How To Expand Your Professional Network On Linkedin
How To Use Various Job Portals
How To Approach For Referrals

Course Schedule

Course Starts On:

Live

1-Feb-2025

Course Duration:

8 Weeks

Total Sessions:

Total Projects:

Validity:

1 Year (Starting From The Date Of Enrollment)

Class Timing:

Saturday & Sunday [3:00 PM - 5:00 PM Live Teaching, 5:00 PM to 5:45 PM Live Doubt Session] (IST)

Class Duration:

2 Hours Live Teaching, 45 minutes Doubt Solving

Class Recording Provided:

Yes

Prerequisite:

Python

⚠️ Important Notice :

The video may not work on Linux due to DRM restrictions. It is only accessible on Chrome when using Windows or macOS.

Workaround: To access the video on Linux, you can create a Windows virtual machine (VM) and watch the video through the VM. Alternatively, you can use our Android or iOS application to view the video on your mobile device.

Instructor

Sahil Choudhary

Sahil is a Google Certified Data Analyst and a Senior Data Analyst at Sigmoid Analytics. He has worked with startups and Fortune 500 companies, helping them make scalable data-driven decisions. He mentored over 350 students in analytics domain and developed third party products and has written multiple whitepapers for BI applications.