11:06

Create your first DLT pipeline 08 #data #learndatabricks

08:13

What is DLT (Delta Live Table) The Basics 01

07:56

13 Liquid Clustering in Databricks

20:55

Implement VARIANT DATA TYPE in SPARK #dataengineering #data #education

07:54

Upgrade to Unity Catalog workspace (using web terminal) - UCX in Databricks

25:59

Upgrade to Unity Catalog workspace - UCX in Databricks

14:51

3 Skewness in Databricks

02:52

Website Walkthorugh!

01:56

Announcement!!

14:37

33 Implement Reflex, Trigger & Action using Event stream in Fabric

33:03

Deploy DLT pipeline & Workflow using ASSET BUNDLES [CICD] #dataengineering #databricks #cicd

15:44

Volumes in Databricks #dataengineering #data #databricks

25:12

AI powered Databricks IQ #dataengineering #intelligence #ai #databricks

05:48

#28 What is Mirroring in Fabric #microsoft #dataengineering #data

07:18

#27 Reference warehouses or sql endpoint from other lake houses #dataengineering #data

07:56

#26 Clone Command in Fabric Synapse Warehouse #microsoft #data #dataengineering

08:02

#25 Copy Data into warehouse using pipeline in #microsoft Fabric #data #dataengineering

06:36

#24 ALTER Warehouse table in Microsoft Fabric using CTAS #data #dataengineering

16:30

#23 Working with Warehouse in Microsoft Fabric #data #dataengineering

12:28

Databricks Interview Questions Part 21 #data #databricks #interview #dataengineering #technology

15:09

Databricks Intelligence Platform (IQ) :- Genie #dataengineering #databricks

38:46

Create a Inference Profile lakehouse monitor for model quality using Python API #databricks

26:56

Create a TimeSeries Profile lakehouse monitor for data quality using Python API #databricks

26:05

Create a Snapshot Profile lake house to monitor data quality using python API #databricks

26:17

Monitor Data Quality using Lakehouse monitoring #dataengineering #dataanalytics #databricks

06:00

#22 DATA POLICIES & REAL TIME ANALYTICS DASHBOARD in Microsoft Fabric #data #dataengineering

09:47

#21 Process Data with EVENT STREAM into Lakehouse in Microsoft Fabric #data #dataengineering

17:26

#20 Process Data with EVENT STREAM into KQL Database Microsoft Fabric #data #fabric

12:29

#19 Analyze and Visualize data using KQL in Microsoft Fabric #data #dataengineering #fabric

10:57

#18 Load data in KQL database & query using KQL in Microsoft Fabric #data #dataengineering

09:48

#17 REAL TIME ANALYTICS in Microsoft Fabric #data #dataengineering

10:44

#16 Spark Pool & Environment in Microsoft Fabric #data #dataengineering

12:39

#15 Spark Job Definition in Fabric #dataengineering #data

05:49

#14 Load Data in Files and schedule notebooks in Fabric #dataengineering #data

11:24

#13 Transform and load data via notebooks in Fabric Lakehouse #dataengineering #dataprocessing

19:12

#12 All about Spark notebook in Microsoft Fabric #dataengineering #dataprocessing

07:13

#11 Shortcuts in Microsoft Fabric #dataengineering #dataengineering

13:49

#10 Dataflow gen 2 in Microsoft Fabric #dataengineering #data

13:04

#9 Work with Visual Query in Microsoft Fabric #dataengineering #data

14:45

#8 Load csv data into lake house and query with SQL endpoints in Microsoft Fabric

06:40

#7 What is lake house & Create a Lakehouse in Microsoft Fabric #dataengineering #data #fabric

06:12

#6 Exploring Workspace in Microsoft Fabric #dataengineering #data #fabric

11:59

#5 What is ONELAKE in Microsoft Fabric #dataengineering #data #fabric

06:43

#4 Create Microsoft Fabric workspace #dataengineering #data #fabric

16:55

#3 Microsoft Fabric pricing #dataengineering #data #fabric

10:26

#2 What is Microsoft Fabric? #dataengineering #data #fabric

06:44

#1 Create a free Microsoft Fabric account using personal Email #dataengineering #fabric

11:41

Databricks Interview Questions Part 20 #data #databricks #interview #dataengineering

16:39

Delta Lake Liquid Clustering in databricks #dataengineering #databricks

11:56

Databricks Interview Questions Part 19 #data #databricks #interview #dataengineering

16:27

Databricks Interview Questions Part 18 #data #databricks #interview #dataengineering

04:07

#26 TAGS in #dbt #dataengineering

07:44

#25 Create and run HOOKS in #dbt #dataengineering

08:35

#24 Create and run MACRO in #dbt #dataengineering

09:28

#23 JINJA Syntax #dbt #dataengineering

06:57

#22 Generate and Serve Documents in DBT #dbt #dataengineering

11:27

#21 Create and run dbt Snapshots (SCD-2) #dbt #data

07:12

#20 Create and Run DBT Seeds #dbt #dataengineering

06:07

#19 Implement Source Freshness Tests in #dbt

07:41

#18 Write Generic tests for models in #dbt #project #dataengineering