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SQL Roadmap for Data Analytics in Telugu | SQL Telugu Tutorial #sql

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This Short is about SQL Roadmap for Data Analytics in Telugu. By Srinivas Reddy Excel Telugu Videos.
SQL Data Analytics in Telugu
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SQL Roadmap for Data Analytics
==================================
1. SQL Basics:
Data definition language (DDL)
CREATE, ALTER, RENAME, DROP, TRUNATE
Data Query Language (DQL): SELECT
Manipulating data using INSERT, UPDATE, DELETE Statements
Transaction control language (TCL)
COMMIT, ROLLBACK, SAVEPOINT
Database security and privileges (DCL)
GRANT, REVOKE, Deny
2. Understand How to Retrieve the Data
Using, SELECT, FROM, WHERE, GROUP BY, HAVING, etc
Working with tables, views, and indexes
3. Querying and Filtering Data
Writing complex queries
Logical Operators (AND, OR) and
comparison operators
aggregate functions (SUM, AVG, COUNT, MAX, MIN)
4. Joins and Relational Databases
INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
Primary keys, foreign keys, and establishing relationships
Normalization concepts
5. Subqueries and Derived Tables
Nesting queries
Derived Tables
6. Data Manipulation and Transformation
Pivoting and unpivoting
Sorting and ordering
CASE Statements
7. Aggregation and Grouping
Grouping Data using GROUP BY clause
HAVING Cause
8. Analytical Functions
RANK, ROW_NUMBER, LAG, LEAD
Partitioning Data
9. Views and Stored Procedures
Creating Views
Writing Stored Procedures
10. Performance Optimization
Indexing Strategies
Query Execution plans
#excel #sqltelugu #sql #keys #telugu #dataanalytics #sqltelugu #shorts #computer
SQL Data Analytics in Telugu
==================================
SQL Roadmap for Data Analytics
==================================
1. SQL Basics:
Data definition language (DDL)
CREATE, ALTER, RENAME, DROP, TRUNATE
Data Query Language (DQL): SELECT
Manipulating data using INSERT, UPDATE, DELETE Statements
Transaction control language (TCL)
COMMIT, ROLLBACK, SAVEPOINT
Database security and privileges (DCL)
GRANT, REVOKE, Deny
2. Understand How to Retrieve the Data
Using, SELECT, FROM, WHERE, GROUP BY, HAVING, etc
Working with tables, views, and indexes
3. Querying and Filtering Data
Writing complex queries
Logical Operators (AND, OR) and
comparison operators
aggregate functions (SUM, AVG, COUNT, MAX, MIN)
4. Joins and Relational Databases
INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
Primary keys, foreign keys, and establishing relationships
Normalization concepts
5. Subqueries and Derived Tables
Nesting queries
Derived Tables
6. Data Manipulation and Transformation
Pivoting and unpivoting
Sorting and ordering
CASE Statements
7. Aggregation and Grouping
Grouping Data using GROUP BY clause
HAVING Cause
8. Analytical Functions
RANK, ROW_NUMBER, LAG, LEAD
Partitioning Data
9. Views and Stored Procedures
Creating Views
Writing Stored Procedures
10. Performance Optimization
Indexing Strategies
Query Execution plans
#excel #sqltelugu #sql #keys #telugu #dataanalytics #sqltelugu #shorts #computer
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