06:45

I created a NEW PLATFORM to help you learn Microsoft Fabric (FASTER!)

43:16

How to THRIVE as a Microsoft Fabric Analytics Engineer

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)