Ultimate Microsoft Fabric Analytics Pro: Master DP-600 Skills
Focused View
11:21:13
1. Introducing Microsoft Fabric.mp4
01:19
2. Understand OneLake Architecture.mp4
14:23
3. License and Explore Fabric - And Power BI.mp4
14:12
4. Explore the Admin Settings.mp4
12:31
5. Other Administrative Dev Tools.mp4
06:35
6. CHALLENGE.mp4
03:11
1. Introducing Dataflows.mp4
02:42
2. Extract Data.mp4
11:17
3. Aggregate Data.mp4
07:52
4. Merge Data.mp4
05:07
5. Filter Data.mp4
03:17
6. Rank Data.mp4
02:37
7. Publish Data to a Lakehouse.mp4
07:44
8. Schedule Automatic Data Refreshes.mp4
03:46
9. CHALLENGE.mp4
06:23
1. Introducing Data Factory Pipelines.mp4
01:01
2. Create a Data Source in Azure.mp4
10:58
3. Create Your Dataflow to Transform Data.mp4
07:05
4. Prep the Data Destinations.mp4
09:40
5. Set the Data Destination and Create a Pipeline.mp4
11:43
6. Validate and Run the Pipeline.mp4
03:40
7. CHALLENGE.mp4
05:58
1. Introducing Fabric Lakehouses.mp4
00:59
2. Recall Why OneLake and Lakehouses Matter.mp4
14:35
3. Get Some Sample Data.mp4
02:12
4. Create a Lakehouse and Upload Data Files.mp4
07:03
5. Load Data Into Delta Tables.mp4
09:51
6. Explore the SQL Analytics Endpoint.mp4
08:36
7. Create a Shortcut.mp4
07:27
8. CHALLENGE.mp4
04:50
1. Introducing Lakehouse Frontend Data Analysis.mp4
01:18
2. Understand Where Frontend Analytics Comes In.mp4
06:27
3. Create a Visual Query.mp4
04:44
4. Filter and Organize Data.mp4
04:56
5. Transform and Add Columns.mp4
05:13
6. Work with Semantic Models.mp4
14:19
7. Create Reports.mp4
04:50
8. CHALLENGE.mp4
05:16
1. Introducing Data Warehouses.mp4
01:26
2. Creating a Data Warehouse.mp4
08:09
3. Perform DDL Operations.mp4
07:24
4. INSERT and UPDATE Operations.mp4
07:38
5. Alter Tables... Sort of.mp4
06:30
6. Update Records with Calculations.mp4
04:59
7. Copy Data From External Sources with COPY INTO.mp4
05:38
8. CHALLENGE.mp4
04:26
1. Introducing Fabric Notebooks.mp4
01:28
2. What Spark Really Is.mp4
07:33
3. Load Data Into Spark Notebooks.mp4
15:09
4. Set and Alter Schema Data Types and Columns.mp4
11:22
5. Filter Data.mp4
03:58
6. Aggregate, Group, and Sort Data.mp4
05:20
7. CHALLENGE.mp4
04:08
1. Introducing Data Querying and Writing in Notebooks.mp4
00:58
2. Join Dataframes.mp4
09:43
3. Write Files to a Lakehouse.mp4
08:45
4. Write Data to Delta Tables.mp4
04:32
5. Querying with SQL and Python.mp4
08:47
6. Scheduling and Orchestrating Notebooks.mp4
05:14
7. CHALLENGE.mp4
04:01
1. Introducing Semantic Models.mp4
01:44
2. Get Some Data.mp4
09:22
3. Create Semantic Model Relationships.mp4
07:58
4. Auto-Generate a Report from Your Model.mp4
03:53
5. Create DAX Measures.mp4
04:38
6. Connect to Fabric with Power BI Desktop.mp4
06:56
7. Connect to the SQL Analytics Endpoint.mp4
03:47
8. Publish Apps.mp4
10:25
9. CHALLENGE.mp4
04:08
1. Introducing Semantic Model Design.mp4
01:21
2. Dimensions and Facts.mp4
09:42
3. Star and Snowflake Schema.mp4
05:29
4. 1st Form Normalization.mp4
08:47
5. 2nd and 3rd Form Normalization.mp4
07:30
6. What Works Best for Analytics.mp4
03:24
7. Merge Queries in Power Query.mp4
03:33
8. CHALLENGE.mp4
03:14
1. Introducing DAX and DAX Studio.mp4
01:13
2. Install DAX Studio.mp4
04:56
3. EVALUATE.mp4
08:29
4. ORDER BY and FILTER.mp4
04:39
5. SUMMARIZECOLUMNS.mp4
06:06
6. Basic DAX Aggregations.mp4
04:29
7. DEFINE.mp4
04:22
8. Iterator - or X Functions.mp4
03:34
9. CALCULATE.mp4
03:48
10. Datetime Functions.mp4
04:11
11. CHALLENGE.mp4
03:20
1. Introducing External Modeling Tools.mp4
01:49
2. DAX Studio Performance Analysis.mp4
09:46
3. DAX Studio VertiPaq Analyzer.mp4
06:06
4. ALM Toolkit.mp4
07:21
5. Install and Browse Tabular Editor.mp4
06:00
6. Use Tabular Editor Best Practices Analyzer.mp4
04:06
7. Object Level Security.mp4
05:20
8. Row Level Security.mp4
11:21
9. CHALLENGE.mp4
04:30
1. Introduction.mp4
02:47
2. Understand Measure Sprawl.mp4
07:20
3. Create a Calculation Group.mp4
04:04
4. Create Calculation Items.mp4
07:20
5. Use Calculation Groups in a Report.mp4
09:44
6. Add Field Parameters to Switch Measures.mp4
05:31
7. Create Calculation Groups in Power BI.mp4
04:05
8. CHALLENGE.mp4
04:29
1. Introducing the XMLA Endpoint.mp4
01:09
2. Understand the Point of XMLA.mp4
07:28
3. Governance and Configuration.mp4
04:07
4. Connect and Query with SSMS.mp4
06:30
5. Download and Deploy Models with Tabular Editor.mp4
06:57
6. Query Models with DAX Studio.mp4
04:20
7. Compare and Ship Models with ALM Toolkit.mp4
06:39
8. CHALLENGE.mp4
04:41
More details
Course Overview
Master Microsoft Fabric analytics solutions with this comprehensive course covering administration, ETL operations, lakehouses, data warehouses, Spark notebooks, and semantic modeling to become proficient in DP-600 implementations.
What You'll Learn
- Microsoft Fabric administration and OneLake architecture
- Advanced ETL operations with Dataflows Gen2 and pipelines
- Lakehouse implementation and data warehouse management
Who This Is For
- Data engineers seeking Microsoft Fabric expertise
- BI professionals transitioning to analytics solutions
- IT administrators managing Fabric implementations
Key Benefits
- Hands-on experience with real-world analytics scenarios
- Comprehensive coverage of DP-600 exam topics
- Practical skills for enterprise data solutions
Curriculum Highlights
- Microsoft Fabric Administration
- ETL Operations with Dataflows Gen2
- Lakehouse Implementation and Management
Focused display
Category
- language english
- Training sessions 113
- duration 11:21:13
- Release Date 2025/05/21
