Learn Microsoft Fabric Basic To Advance With Practical

Microsoft Fabric End to End Analytics, Data engineering with Fabric, Certification, Real time analytics Fabric tutorial

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

Anyone can take up this course

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!

Overview

Section 1: Introduction

Lecture 1 Setup Account with Microsoft Fabric

Lecture 2 Walkthrough with Features of Microsoft Fabric

Lecture 3 Microsoft Fabric Architecture

Section 2: Lakehouse

Lecture 4 Introduction to Lakehouse, OneLake

Lecture 5 Setup your first Lakehouse & Ingest Data

Lecture 6 Delta format tables

Lecture 7 SQL Endpoints

Lecture 8 Data Visualization in Spark Notebook

Lecture 9 Visual Query Editor

Lecture 10 Create Report

Section 3: Data Processing with Apache Spark

Lecture 11 Introduction to Large Scale Data Analytics

Lecture 12 Apache Spark

Lecture 13 Spark Settings in Microsoft Fabric

Lecture 14 Setup your first Notebook

Lecture 15 DataFrame from Lakehouse

Lecture 16 Data Transformation, Saving the Transformed Data and Partitioning using PySpark

Lecture 17 Parquet File, Partitioning in Spark RDD

Section 4: Delta Tables in Microsoft Fabric

Lecture 18 Load Data into Spark Dataframe

Lecture 19 Managed and External Tables

Lecture 20 Data Insertion in Delta Table

Lecture 21 Table Updation and Table Versioning

Lecture 22 Create Delta Table from Streaming Data

Section 5: Data Pipelines in Microsoft Fabric

Lecture 23 SparkSQL API to process data

Lecture 24 ETL (Extract, Transfer and Load)

Lecture 25 Pipeline: Copy Data Activity, Delete Data Activity and Notebook Activity

Lecture 26 Variable in Pipeline

Lecture 27 Run and Monitor Pipeline

Section 6: Ingest Data with Dataflow (gen2)

Lecture 28 Copy Data, Transform Data using Dataflow

Section 7: Data Warehousing in Microsoft Fabric

Lecture 29 Introduction to Data Warehouse

Lecture 30 Dimensional Modelling in Data Warehouse

Lecture 31 Setup your Data Warehouse in MS Fabric

Lecture 32 Query your Data Warehouse

Lecture 33 Visual Query Editor in Data Warehouse

Lecture 34 Performance Monitoring in Warehouse

Section 8: Real Time Data Analytics

Lecture 35 Introduction to Real time Data Analytics

Lecture 36 Setup your KQL Database

Lecture 37 Data Processing and Analysis using KQL QuerySet

Lecture 38 Data Visualization

Section 9: Data Science with Microsoft Fabric

Lecture 39 Introduction to Data Science, Predictive Analytics and Machine Learning

Lecture 40 Notebook, Experiment and Run

Lecture 41 Setup and load data into Notebook

Lecture 42 Create Experiment and Build your Model

Lecture 43 Compare an Save your Models

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