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Description

Welcome to the comprehensive course on Microsoft Fabric! In this course, you will embark on a journey from the basics to advanced concepts, gaining practical knowledge and skills that will empower you in the realm of data science, data engineering, and real-time data analytics. With a strong focus on Microsoft Fabric, this course provides you with the tools and techniques to leverage the power of Fabric for end-to-end analytics.
Throughout the course, you will delve into the world of data engineering, learning how to efficiently transform, process, and analyze vast amounts of data using Microsoft Fabric. You will explore various data engineering techniques, including data warehousing, data pipelines using Data Factory, and parallel processing with Apache Spark. Gain hands-on experience as you navigate real-world scenarios and challenges, equipping you with the expertise to tackle complex data engineering projects.
Moreover, this course takes you on an exploration of the art of data science using Microsoft Fabric. Learn how to harness the potential of Fabric to perform advanced analytics, uncover valuable insights, and make data-driven decisions. Dive into topics such as real-time data analytics, where you will discover how to process and analyze streaming data in real time, enabling you to gain immediate insights and take action when it matters most.
In addition, you will discover the power of Power BI as a visualization and reporting tool, enabling you to create interactive and visually compelling dashboards that communicate insights effectively. Through hands-on exercises, you will learn how to create compelling visualizations, share reports, and collaborate with others using Power BI.
This course also offers guidance on obtaining a Microsoft Fabric certification, helping you demonstrate your expertise and proficiency in Microsoft Fabric to potential employers or clients. You will gain insights into the certification process, learn valuable exam tips, and understand the areas of focus required to excel in the certification exams.
By the end of this course, you will have acquired a solid foundation in Microsoft Fabric, equipped with the knowledge and skills to tackle data engineering, real-time data analytics, and data science projects with confidence. Whether you are an aspiring data scientist, data engineer, or analytics professional, this course is designed to propel your career forward by providing you with the essential skills needed in today's data-driven world.
Enroll now and embark on your journey to become a Microsoft Fabric expert!
Who this course is for:
Anyone who is interested in Data Field
Aspiring to get job as Azure Data Engineer
Aspiring to work as Azure Data Scientist
Anyone who is looking forward to start his career as a Azure Data Engineer
Anyone who is looking forward to start his career as a Azure Data warehouse specialist
Anyone who is looking forward to start his career as a Data analyst

What you'll learn

Microsoft Fabric Fundamentals

Explore end-to-end analytics with Microsoft Fabric

Master the Microsoft Fabric Lakehouse

Use Apache Spark in Microsoft Fabric

Work with Delta Lake tables in Microsoft Fabric

Master Data Factory pipelines in Microsoft Fabric

Learn data warehouses in Microsoft Fabric

Data with Dataflows Gen2 in Microsoft Fabric

Master Real-Time Analytics in Microsoft Fabric

Learn data science in Microsoft Fabric

Learn Microsoft Fabric with end to end project idea

Learn Microsoft Fabric with practical

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
4
1.1-What is Microsoft Fabric
1.2-Why Microsoft Fabric is SO IMPORTANT
1.3-How to Use this Course in Best Manner
1.4-Know Your Instructor
2-Workspace Setup
4
2.1-Setup Account with Microsoft Fabric
2.2-Walkthrough with Features of Microsoft Fabric
2.3-Microsoft Fabric Architecture
2.4-Fabric Basic Quiz
3-Lakehouse
7
3.1-What's Inside this section
3.2-Introduction to Data Lake, OneLake, Parquet Files, Delta Lake and Lakehouse
3.3-Setup your first Lakehouse & Ingest Data
3.4-SQL Endpoints
3.5-Visual Query Editor
3.6-Create Report
3.7-Lakehouse
4-Data Warehousing in Microsoft Fabric
7
4.1-What's Inside this section
4.2-Introduction to Data Warehouse
4.3-Dimensional Modelling in Data Warehouse
4.4-Setup your Data Warehouse in MS Fabric
4.5-Query your Data Warehouse
4.6-Visual Query Editor in Data Warehouse
4.7-Performance Monitoring in Warehouse
5-Data Processing with Apache Spark
11
5.1-What is inside this section
5.2-Introduction to Large Scale Data Analytics
5.3-Apache Spark
5.4-Spark Settings in Microsoft Fabric
5.5-Setup your first Notebook
5.6-DataFrame from Lakehouse
5.7-Data Transformation, Saving the Transformed Data and Partitioning using PySpark
5.8-Parquet File, Partitioning in Spark RDD
5.9-SparkSQL API to process data
5.10-Data Visualization in Spark Notebook
5.11-Spark Quiz
6-Delta Tables in Microsoft Fabric
7
6.1-What's Inside this section
6.2-Data Lake and Delta Table
6.3-Managed and External Tables
6.4-Data Insertion in Delta Table
6.5-Table Updation and Table Versioning
6.6-Streaming
6.7-Create Delta Table from Streaming Data
7-Data Pipelines in Microsoft Fabric
5
7.1-Whats Inside this section
7.2-ETL (Extract, Transfer and Load)
7.3-Pipeline: Copy Data Activity, Delete Data Activity and Notebook Activity
7.4-Variable in Pipeline
7.5-Run and Monitor Pipeline
8-Ingest Data with Dataflow (gen2)
1
8.1-Copy Data, Transform Data using Dataflow
9-Real Time Data Analytics
4
9.1-Introduction to Real time Data Analytics
9.2-Setup your KQL Database
9.3-Data Processing and Analysis using KQL QuerySet
9.4-Data Visualization
10-Data Science with Microsoft Fabric
5
10.1-Introduction to Data Science, Predictive Analytics and Machine Learning
10.2-Notebook, Experiment and Run
10.3-Setup and load data into Notebook
10.4-Create Experiment and Build your Model
10.5-Compare an Save your Models