12:39

SQL Que 23: How to Unpivot data in SQL || Convert Columns to Rows using Unpivot() | Union ALL

15:33

SQL Que 22: How to Pivot data in SQL || Pivot Data Using Pivot Function and Case Expression

22:52

SQL Que 21: What is Trigger in SQL || How to Automate Database Actions || INSERT UPDATE DELETE

17:26

SQL Que 20: What is Store Procedure in SQL || How to Create & Use Stored Procedures | Types of SP

07:37

SQL Que 19: What are ACID Properties of RDBMS || Atomicity, Consistency, Isolation & Durability

08:47

SQL Que 18: What is Cascading Referential Integrity in SQL | Foreign Keys & On Delete Cascade

11:36

SQL Que 17: What is View in SQL || Benefits of View

05:50

SQL Que 16: What is the difference between UK | PK | FK in SQL || Unique vs Primary vs Foreign Key

17:26

SQL Que 15: What are the constraints in SQL || Constraints: Primary Key, Foreign Key, Unique & More

08:51

SQL Que 14: What is Difference Between DBMS and RDBMS | Explained with Examples

21:11

Fabric_11: Master SQL Databases in Microsoft Fabric || Advantages | Connection | Security & Sharing

25:32

Power Automate for Power BI: Automate Your Data Workflows Effortlessly

17:24

PBI_75: How to Set Up Email Subscriptions in Power BI | Automate Report Sharing

18:30

SSIS_2.1: How to Schedule an SSIS Package in SQL Server for Automatic Data Refresh

40:49

SSIS_2: Create SSIS Package, Deploy & Schedule to on SQL Server | SSIS Package Lifecycle Management

24:43

PBI_74: Connect to Analysis Services in Python to Execute DAX Queries on Power BI Models

30:24

SSIS_1: Introduction to SSIS || Control Flow | Data Flow | Event Handler | Parameters

14:02

PBI_73: Snowflake Schemas vs Star Schemas: Data Modeling Technique

38:49

Fabric_10: Deployment Pipeline in Fabric || Create | Process | Deploy | Limitations & Considerations

09:26

SQLBI_2: Report Server Configuration || Create Instance of Reporting Service on SQL Server

22:07

Fabric_9: Task Flow in Fabric || Visual Representation of Workflow in a Workspace in Power BI

38:42

Farbic_8: Data Factory in Fabric || Data Orchestration: Activity, Triggers, Dependencies, Monitoring

33:50

SQLBI_1: Install SQL Server Developer Edition || Integration | Analysis | Reporting Services

01:01:06

PBI_73: Incremental Refresh in Power BI || How to Set Up Incremental Refresh in Power BI

17:58

Fabric_7: An Introduction to OneLake and OneLake Data Hub in Microsoft Fabric

40:18

Fabric_6: Data Modelling and Create Semantic Model in Fabric's Lakehouse/Warehouse

24:22

Fabric_5: Synapse Notebook in Fabric || Apache Spark in Fabric || Create ETL pipeline using Notebook

46:39

Fabric_4: Pipelines in Microsoft Fabric || Create Pipeline in Fabric

26:01

Fabric_3: Dataflow in Microsoft Fabric || ETL Tool in Fabric

11:13

PBI_70: Connect to Power BI Service Semantic Model using Analysis Service Database Connector

26:09

Fabric_2: Lakehouse vs Warehouse in Microsoft Fabric | Data Architecture in Fabric

12:10

Fabric_1: What is Microsoft Fabric? || Components of Microsoft Fabric

31:41

PBI_69: Optimize Performance of Power BI DAX || DAX Query View || Boost Your Data Analysis Skills

33:56

PBI_68: Master Row Level Security & Dynamic Row Low Security in Power BI || Secure Data Like a Pro

21:11

PBI_67: Virtual Relationships Using TREATAS Function in Power BI DAX || Advanced Data Modeling

11:58

PBI_66: Import Data from Power BI Service in Power BI Report || OLE DB Connection in Power BI

13:05

PBI_65: Use of Earlier Function in Power BI || Advance Power BI DAX

32:36

SQL Que 13: Describe Types of Subqueries in SQL | Correlated and Non-Correlated Subqueries in SQL

09:21

SQL Que 12: What is Alias in SQL || How to Create Column Alias and Table Alias in SQL

10:58

SQL Que 11: What is Subquery in SQL || Nested Query in SQL || Inner Query in SQL

12:39

SQL Que 10: How to List and Drop All Tables from a Database in SQL || Advance SQL Practice

09:08

SQL Que 9: What is Composit Key in SQL? || When can be used composite key in SQL

08:34

SQL Que 8: What is Difference Between DDL and DML in SQL?

18:25

Excel 13: Advance Excel Dashboard Formulas - Filter | Take | Drop | Sort | ChooseRows or Columns

21:38

Pandas_11: Text and Datetime Data Transformations in Pandas DataFrames | Data Analysis Tutorial

37:43

Pandas_10: Pivoting & Unpivoting of Data in Pandas DataFrame | Reshaping of Data at Different Levels

20:44

Pandas_9: Data Aggregation & Grouping in Pandas| Python Data Analysis Tutorial

21:38

Pandas_8: Join Data frames in Pandas || Merge method and Join method

13:56

Pandas 7: Insert Row or Column in Pandas Data Frame || Data Transformation in Pandas

13:39

Pandas 6: Types Casting in Pandas || Change Data Types of Columns in Pandas || Data Transformation

36:15

Pandas 5: "Mastering Data Manipulation in Python: Filtering and Sorting DataFrames using Pandas."

22:47

Pandas 4: Mastering Pandas: Handling Missing Values in DataFrames || Missing Value Operations

52:54

Pandas 3: Data Transformation: Row and Column Transformations (Add, Slice, Drop, update) in Pandas.

12:53

Pandas 2: Pandas Read Data from SQL Database || Pull Data from SQL Server using Pandas in Python

36:32

Pandas 1: Pandas & Jupiter Notebook Introduction || Pandas: Reading and Writing Data in Python

01:19:20

Python 22: Automating Excel Tasks with Python: Boost Your Productivity! || openpyxl in Python

26:26

Python 21: Threading in Python || Boosting Performance and Parallel Execution of Program in Python

18:15

Python 20: Error Handling in Python || Exception Handling in Python || Runtime Time Exceptions

14:44

Python 20: Exploring the Module Library Package for Efficient Python Programming" || Create Packages

21:19

Python 19: Datetime Module in Python || Date Formatting || Date Hardcoding in Python || TimeDelta