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Implementing Analytics Solutions Using Microsoft Fabric
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Module 1.1: Administration Microsoft Fabric
1.1.1 Introduction to Microsoft Fabric Administration
1.1.2 Understanding the Fabric Architechture
1.1.3 Understanding the Fabric Administrator Role
1.1.4 Manage Fabric Security
1.1.5 Governed Data Fabric
Module 1.2: Ingest with Microsoft Fabric
1.2.1. Introduction To Microsoft Fabric And Dataflows Gen2
1.2.2 Understand Dataflows Gen2 in Microsoft Fabric
1.2.3 Explore Dataflows Gen2 in Microsoft Fabric
1.2.4 Integrate Dataflows Gen2 and Pipelines in Microsoft Fabric
1.2.5 Demo
1.2.6 Connect to Data with Spark
1.2.7 Write Data into a Lakehouse
1.2.8 Consider Uses For Ingested Data
1.2.9 Demo for utilizing Microsoft Fabric and PySpark
1.2.10 Introduction To Training On Understanding Data Pipelines in Microsoft Fabric
1.2.11 Understanding Pipelines
1.2.12 Use the Copy Data Activity
1.2.13 Use Pipeline Templates
1.2.14 Run And Monitor Pipelines
1.2.15 Demo on Data Ingestion
Module 2.1: Fabric Lakehouse using Medallion Architecture Design
2.1.1 Introduction To Medallion Architecture
2.1.2 Describe Medallion Architecture
2.1.3 Implement a Medallion Architecture in Fabric
2.1.4 Introduction To Querying And Report On Data In Your Fabric Lakehouse
2.1.5 Introduction To Managing Tour Lakehouse
2.1.6 Demo
Module 2.2: Ingest Lakehouse with Microsoft Fabric
2.2.1 Overview of Microsoft Fabric
2.2.2 Explore end-to-end analytics with Microsoft Fabric
2.2.3 Data Teams and Microsoft Fabric
2.2.4 Enable and Use Microsoft Fabric
2.2.5 Introduction To Lakehouse In Microsoft Fabric
2.2.6 Explore The Microsoft Fabric Lakehouse
2.2.7 Work With Microsoft Fabric Lakehouse
2.2.8 Explore And Transform data In A Lakehouse
2.2.9 Demo
2.2.10 Introduction To Enabling Microsoft Fabric
2.2.11 Introduction To Use Apache Spark
2.2.12 Introduction To Run Apache Spark Code
2.2.13 Introduction To Spark Data Frames
2.2.14 Introduction To Spark SQL
2.2.15 Visualizing Data In Spark Notebook
Module 3: Work with Delta Lake Tables in Microsoft Fabric
3.1 Work with Delta Tables in Microsoft Fabric
3.2 Introduction to Delta Tables in Microsoft Fabric
3.3 Create Delta Tables
3.4 Work with Delta Tables in Spark
3.5 Use Delta Tables with Streaming Data
3.6 Demo to efficiently utilizing Delta Tables
Module 4: Data Warehouse in Microsoft Fabric
4.1Introduction of Data Warehouses in Microsoft Fabric
4.2 Overview of Data Warehouse Processes
4.3 Introduction to Fabric's Lakehouse
4.4 Introduction to Querying Data
4.5 Introduction to Semantic Model
4.6 Importance of Security and Monitoring
4.7 Demo for setting up and using a Data warehouse
Module 5: Load Data into a Microsoft Fabric data warehouse
5.1 Introduction to implement a Data Warehouse with Microsoft Fabric
5.2 Explore data load strategies
5.3 Use data pipelines to load a warehouse
5.4 Load data using T-SQL
5.5 Load and transform data with Dataflow Gen2
5.6 Demo for creating and managing Fact Tables, Dimensions, and views in Microsoft Fabric
Module 6: Monitor a Microsoft Fabric data warehouse
6.1 Introduction to Monitoring your Data Warehouse
6.2 Monitor capacity metrics DP600
6.3 Monitor Current Activity
6.4 Monitor Queries
6.5 Demo for Monitoring a Data Warehouse
Module 7: Query a data warehouse in Microsoft Fabric
7.1 Introduction to implementing a Data Warehouse
7.2 Introduction to Using the SQL Query Editor
7.3 Introduction to Explore the visual query editor
7.4 Use client tools to query a warehouse
7.5 Demo for creating a workspace and querying a data warehouse in Microsoft Fabric
Module 8: Understanding Scalability in Power BI
8.1 Introduction to Scalability in Power BI
8.2 Describe the significance of scalable models
8.3 Introduction to Large Data sets
8.4 Demo for using Power BI Desktop
Module 9: Create Power BI Model Relationships
9.1 Introduction to Model Relationships
9.2 Understand model relationships
9.3 Set up relationships
9.4 Introduction to DAX Relationship Functions
9.5 Introduction to Relationship Evaluation
Module 10: Use tools to optimize Power BI Performance
10.1 Introduction to Optimizing Power BI Performance
10.2 Use Performance Analyzer
10.3 Troubleshoot DAX Performance by using DAX Studio
10.4 Optimize a data model by using Best Practice Analyzer
Module 11: Enforce Power BI Model Security
11.1 Introduction to enforcing model security
11.2 Restrict access to Power BI Model Data
11.3 Restrict access to Power BI Model Objects
11.4 Apply Good Modeling Practices
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Implementing Analytics Solutions Using Microsoft Fabric