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Learn Microsoft Fabric with Will @[email protected]

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I help beginner and experienced data professionals learn Mic


06:03:41
DP-600 Exam Full Course (6+ hours) | Microsoft Fabric Analytics Engineer
07:41
TOP TIPS for passing the DP-600 exam (SERIES FINALE!)
32:43
Using T-SQL to query data in Microsoft Fabric | DP-600 EXAM PREP (12 of 12)
28:34
Perform exploratory analytics in Microsoft Fabric | DP-600 EXAM PREP (11 of 12)
21:25
Secure and optimize semantic models in Microsoft Fabric | DP-600 EXAM PREP (10 of 12)
28:01
Design and build semantic models in Microsoft Fabric | DP-600 EXAM PREP (9 of 12)
34:32
Monitoring & optimizing performance in Microsoft Fabric | DP-600 EXAM PREP (8 of 12)
44:08
Transforming data | PySpark, T-SQL & Dataflows in Microsoft Fabric | DP-600 EXAM PREP (7 of 12)
26:31
SQL, Data Warehouse & Scheduling in Microsoft Fabric | DP-600 EXAM PREP (6 of 12)
20:23
Shortcuts and data ingestion in Microsoft Fabric | DP-600 EXAM PREP (5 of 12)
47:48
Version control (Git) & Deployment Pipelines in Microsoft Fabric | DP-600 EXAM PREP (4 of 12)
31:55
Capacities, workspaces, roles in Microsoft Fabric | DP-600 EXAM PREP (3 of 12)
29:20
Requirements, admin portal, gateways in Microsoft Fabric | DP-600 EXAM PREP (2 of 12)
05:42
Setup a free Fabric sandbox environment WITHOUT business email address
10:48
DP-600 EXAM PREPARATION COURSE | Video 1 of 12 (Introduction)
03:29:41
Microsoft Fabric for Power BI developers - 3.5 HOUR FREE COURSE
19:26
What role will Microsoft Fabric play in your future careeer?
26:17
Moving to Microsoft Fabric? Here's 36 questions to guide your decisions
51:56
End-to-end data validation strategies in Microsoft Fabric (+ 3 DEMOS)
17:00
Building Power BI semantic models with Direct Lake in Microsoft Fabric
30:18
Microsoft Fabric: Data Warehouse vs Lakehouse vs KQL Database
31:16
Data pipeline vs Dataflow vs Shortcut vs Notebook in Microsoft Fabric
15:20
Capacities, Workspaces and Access Control in Microsoft Fabric
15:01
From Power BI to Microsoft Fabric: your ULTIMATE transition guide (FULL SERIES)
38:00
Learn the Fundamentals of Microsoft Fabric in 38 minutes
03:28:28
Spark Tutorial in Microsoft Fabric (3.5 HOURS!)
52:54
Semantic Link 1 HOUR Tutorial - Microsoft Fabric
23:13
Introduction to Semantic Link in Microsoft Fabric
24:51
How to use Spark in Microsoft Fabric - YOUR QUESTIONS ANSWERED (30 of 30)
06:33
Monitoring Spark (errors and cost) in Microsoft Fabric
09:36
Powerful notebook utility functions (MSSparkUtils) in Microsoft Fabric (25 of 30)
06:51
Writing Spark Scala in Microsoft Fabric Notebooks (24 of 30)
06:07
Running multiple notebooks on same session Microsoft Fabric (23 of 30)
05:19
Manage your Python packages (the old way) in Microsoft Fabric (22 of 30)
06:27
Autotuning your Spark config in Microsoft Fabric (21 of 30)
17:01
Customising Fabric Runtime and Spark in Microsoft Fabric (Day 20 of 30)
22:21
Spark Machine Learning End-To-End Project in Microsoft Fabric (Day 16 of 30)
08:35
Using your SQL knowledge in Spark in Microsoft Fabric (Day 13 of 30)
06:50
Analyzing DATES and TIMES in Spark in Microsoft Fabric (12 of 30)
06:53
How to get better insights by JOINING Spark DataFrames in Microsoft Fabric (11 of 30)
13:07
NO MORE NULLS - how to handle missing values in Spark DataFrames + Fabric (Day 10 of 30)
09:26
How to use GROUPBY and AGG functions in pySpark in Microsoft Fabric (Day 9 of 30)
12:03
14 ways to filter your Spark DataFrame in Microsoft Fabric (Day 8 of 30)
09:48
Learn THESE important pySpark operations FIRST in Microsoft Fabric (Day 7 of 30)
07:14
How to write data to Lakehouse Table in Microsoft Fabric (Day 6 of 30)
13:03
How to read CSV, JSON, PARQUET into Spark DataFrame in Microsoft Fabric (Day 5 of 30)
06:47
Introducing the Spark DataFrame in Microsoft Fabric (Day 4 of 30)
04:41
FIVE components of the Spark engine in Microsoft Fabric (Day 3 of 30)
10:27
Why you should learn Spark in Microsoft Fabric (Day 2 of 30)
04:18
DAY ONE - Learn Apache Spark in Microsoft Fabric in September (Day 1 of 30)
36:18
Lakehouse data validation with Great Expectations in Microsoft Fabric
05:41
I broke this golden rule of data engineering (let’s fix it)
06:48
Scheduling Notebooks in Microsoft Fabric + Reading JSON from Dynamic File Paths
17:42
Using Fabric notebooks (pySpark) to clean and transform real-world JSON data
16:50
Extract and Load from External API to Lakehouse using Data Pipelines (Microsoft Fabric)
25:57
Microsoft Fabric Lakehouse Tutorial
17:51
Microsoft Fabric Data Warehouse Explained (Full Demo and Tour)
08:08
14 cool new things you can do in Data Factory (Microsoft Fabric)
11:33
Three data pipeline use cases to make your life easier (Microsoft Fabric)
07:04
Data Pipelines in Microsoft Fabric (High-level overview!)