kingers Posted March 28 Report Share Posted March 28 Dp-600: Fabric Analytics Engineer Associate Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.05 GB | Duration: 6h 54mPrepare yourself for the Microsoft Certified: Fabric Analytics Engineer Associate exam What you'll learn Students will learn how to build warehouse and lakehouses on Microsoft Fabric. Students will learn on how to build semantic models in Power BI Desktop. Students will learn SQL aspects and how to ingest data into Microsoft Fabric. Students will also learn about several security aspects around Microsoft Fabric. Requirements No prior knowledge on Microsoft Fabric is required, students will learn about Microsoft Fabric. No prior knowledge is required for Power BI Desktop, we will learn about Power BI Desktop in this course. Description "This course requires you to download Power BI Desktop on your local machine. If you are a Udemy Business user, please check with your employer before downloading software."This intensive, comprehensive course is designed to prepare data professionals for the Microsoft DP-600 certification exam, focusing on data warehouse implementation and optimization using Microsoft Fabric. Participants will gain the knowledge and practical skills necessary to design, implement, and manage semantic models, data warehouses , lakehouses that leverage the full power of Microsoft's modern data analytics platform.What are we going to learnBasics around data and getting the required tools in place for the course.Getting and transforming data within Power BI Desktop.Building various aspects in Power BI Desktop such reports, visualizations, Measures etc.How to use Power Query in Power BI Desktop to transform data. We will see an example on how build a semantic model around Fact and Dimension tables.Getting started with Microsoft Fabric. How we get trial capacity to start working with the service.How we can build data warehouses in Microsoft Fabric. Using T-SQL, data pipelines and Data Flow Gen2 we can see how to ingest data into Microsoft Fabric.How to run basic T-SQL commands against our data warehouse.How to build Lakehouses on Microsoft Fabric.How we can ingest data into Lakehouses using data pipelines and Data Flow Gen2.How to use Apache Spark in Microsoft Fabric to work with data sets. Overview Section 1: Introduction Lecture 1 Data in today's world Lecture 2 Tools and services Lecture 3 Microsoft Power BI Lecture 4 Lab - Installing Power BI Desktop Lecture 5 Tour of Power BI Desktop Lecture 6 Our data sets Lecture 7 Setting up an Azure Free Tier Account Lecture 8 About the Azure SQL database service Lecture 9 Creating an Azure SQL database server Lecture 10 Setting up the Azure SQL database Section 2: Implement and manage semantic models - Power BI Desktop Lecture 11 Section Resources Lecture 12 Lab - Power BI Desktop - Get Data Lecture 13 Lab - Power BI Desktop - Removing columns Lecture 14 Lab - Power BI Desktop - Handing missing values Lecture 15 Lab - Power BI Desktop - Adding new columns Lecture 16 Online Analytical Processing Systems Lecture 17 What goes into building a data warehouse Lecture 18 Power BI Desktop - Merge Queries Lecture 19 Lab - Power BI Desktop - Merge Queries - DimProduct Lecture 20 Lab - Power BI Desktop - Merge Queries - DimCustomer Lecture 21 Lab - Power BI Desktop - Merge Queries - FactSales Lecture 22 Different views in Power BI Desktop Lecture 23 What are we going to do next Lecture 24 Lab - Power BI Desktop - Building simple visualizations Lecture 25 Lab - Power BI Desktop - Hierarchies Lecture 26 Power BI Desktop - Quick look at drill down Lecture 27 Overview on DAX Lecture 28 Lab - DAX Expressions - Creating a measure Lecture 29 Lab - DAX Expressions - Aggregation Functions Lecture 30 Lab - DAX Expressions - Filter Functions Lecture 31 Lab - DAX Expressions - Information Functions Lecture 32 Lab - DAX Expressions - Using Quick measures Lecture 33 Lab - Power BI Desktop - Building the Date Dimension table Lecture 34 Lab - Power BI Desktop - Using calculation groups Lecture 35 Lab - Power BI Desktop - Using Field parameters Lecture 36 Semantic Model - Storage Design Lecture 37 Lab - Using the Direct Query mode Lecture 38 Power BI Desktop - ColumnProfiling tools Lecture 39 Quick note on other performance considerations in Power BI Desktop Lecture 40 Lab - Power BI Desktop - Performance Analyzer Section 3: Prepare Data - Microsoft Fabric - Data Ingestion and Data warehouse Lecture 41 Section Code Lecture 42 What is Microsoft Fabric Lecture 43 Microsoft Fabric terms Lecture 44 Note on Microsoft Fabric Licensing Lecture 45 On-boarding ourselves onto Microsoft Fabric Lecture 46 Getting Microsoft Fabric Trial capacity Lecture 47 Lab - Publishing a report from Power BI Desktop to Fabric Lecture 48 Review of the data warehousing fundamentals Lecture 49 Lab - Microsoft Fabric - Creating a sample data warehouse Lecture 50 Microsoft Fabric - Ingesting data Lecture 51 Lab - Creating an Azure Storage Account Lecture 52 Lab - Microsoft Fabric data warehouse - Ingesting data - COPY command Lecture 53 Lab - Microsoft Fabric data warehouse - Ingesting data - COPY command - SAS Lecture 54 Lab - Microsoft Fabric data warehouse - Visual Query Lecture 55 Lab - Microsoft Fabric data warehouse - Cloning tables Lecture 56 Lab - Microsoft Fabric warehouse - CREATE TABLE AS SELECT Lecture 57 Lab - Microsoft Fabric - Ingesting data - Data Pipeline Lecture 58 Lab - Microsoft Fabric - Ingesting data - Data Flow Gen2 Lecture 59 Lab - Microsoft Fabric data warehouse - Building our Fact table Lecture 60 Lab - Microsoft Fabric data warehouse - Building our Dimension tables Lecture 61 Lab - Microsoft Fabric data warehouse - Building the Dimension Date table Lecture 62 Lab - Microsoft Fabric data warehouse - Default semantic model Lecture 63 Lab - Microsoft Fabric data warehouse - Column profiling Lecture 64 Data warehouse - Slowly Changing Dimensions Lecture 65 Microsoft Fabric - Power Query - Query folding Lecture 66 Lab - Microsoft Fabric data warehouse - SQL - Basics Lecture 67 Lab - Microsoft Fabric data warehouse - SQL - Group by Lecture 68 Lab - Microsoft Fabric data warehouse - SQL - Finding duplicate values Lecture 69 Lab - Microsoft Fabric data warehouse - SQL- JOIN Lecture 70 Lab - Microsoft Fabric data warehouse - SQL user-defined function Section 4: Prepare Data - Microsoft Fabric - Lakehouse Lecture 71 Section Code Lecture 72 What is a Lakehouse Lecture 73 Lab - Microsoft Fabric Lakehouse - Creating the Lakehouse Lecture 74 Lab - Microsoft Fabric Lakehouse - Ingesting data via files Lecture 75 Lab - Microsoft Fabric Lakehouse - Ingesting data via parquet files Lecture 76 Microsoft Fabric Lakehouse - Delta Lake Lecture 77 Lab - Microsoft Fabric Lakehouse - Ingesting data - Data pipeline Lecture 78 Lab - Microsoft Fabric Lakehouse - Ingesting data - Data Flow Gen2 Lecture 79 Lab - Microsoft Fabric Lakehouse - Shortcuts - Azure Data Lake Lecture 80 Lab - Microsoft Fabric Lakehouse - Shortcuts - AWS S3 Lecture 81 About using Apache Spark on Microsoft Fabric Lecture 82 Lab - Microsoft Fabric Apache Spark - Creating a notebook Lecture 83 Lab - Microsoft Fabric Apache Spark - Loading data into a Dataframe Lecture 84 Lab - Microsoft Fabric Apache Spark - Performing operations on the data frame Lecture 85 Lab - Microsoft Fabric Apache Spark - Saving the data frame Lecture 86 Lab - Microsoft Fabric Apache Spark - Further working with data Lecture 87 Microsoft Fabric Apache Spark - Running SQL commands in the notebook Section 5: Practice Tests This course is for students who want to prepare and take the DP-600 exam.,This course is for students who want to learn to use the Microsoft Fabric service.,This course will also help students learn to build semantic models in Power BI desktop.AusFilehttps://ausfile.com/id8vh3iw5x91/DP600_Fabric_Analytics_Engineer_Associate.part1.rarhttps://ausfile.com/mpctx7iytpjh/DP600_Fabric_Analytics_Engineer_Associate.part2.rarhttps://ausfile.com/ifkv6uecc3ks/DP600_Fabric_Analytics_Engineer_Associate.part3.rarhttps://ausfile.com/uab4qnhjipsb/DP600_Fabric_Analytics_Engineer_Associate.part4.rarhttps://ausfile.com/fgjijvoqinbb/DP600_Fabric_Analytics_Engineer_Associate.part5.rarRapidGatorhttps://rapidgator.net/file/f7709a69bcc7a27d4fe60cb35dc37404/DP600_Fabric_Analytics_Engineer_Associate.part1.rarhttps://rapidgator.net/file/249ccc20e7120640c2a863ed9154726f/DP600_Fabric_Analytics_Engineer_Associate.part2.rarhttps://rapidgator.net/file/0a744a4f72b34fd549bd85ff5bde3ea5/DP600_Fabric_Analytics_Engineer_Associate.part3.rarhttps://rapidgator.net/file/bedbb269221169cf7943d2cded8388f4/DP600_Fabric_Analytics_Engineer_Associate.part4.rarhttps://rapidgator.net/file/70ab420d1d74c89e846c657d4b83cfcf/DP600_Fabric_Analytics_Engineer_Associate.part5.rarTurboBithttps://turbobit.net/ig1ydv7xchve/DP600_Fabric_Analytics_Engineer_Associate.part1.rar.htmlhttps://turbobit.net/e8upzabt728d/DP600_Fabric_Analytics_Engineer_Associate.part2.rar.htmlhttps://turbobit.net/xrs6ftnabiyd/DP600_Fabric_Analytics_Engineer_Associate.part3.rar.htmlhttps://turbobit.net/1dl0u6ahiq0z/DP600_Fabric_Analytics_Engineer_Associate.part4.rar.htmlhttps://turbobit.net/zylg88b3q9sx/DP600_Fabric_Analytics_Engineer_Associate.part5.rar.htmlFileFactory Link to comment Share on other sites More sharing options...
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