Certificate ID:
809379
Authentication Code:
f7668
Certified Person Name:
Jimmy Jun Rodulfo
Certified Person Email:
Trainer Name:
Bea Charmelyn Lambitco
Duration Days:
3
Duration Hours:
21
Course Name:
Microsoft SQL Server Training: From Basic to Advanced
Course Date:
13 May 2025 13:30 to 20 May 2025 18:00
Venue:
LBL Building, Manggahan Light Industrial Park Consumer Care and Products, Inc.
Course Outline:
Module 1: Introduction to SQL & Microsoft SQL Server
- Overview of Databases & SQL
- Understanding Microsoft SQL Server & SSMS
- Setting up SSMS and connecting to a database
- Exploring database objects (tables, views, stored procedures)
Module 2: Writing Basic SQL Queries
- Understanding SQL syntax and structure
- SELECT statements: Retrieving data from tables
- Filtering data with WHERE clauses
- Sorting data with ORDER BY
- Using DISTINCT to remove duplicates
Module 3: Data Manipulation
- Inserting data into tables (INSERT)
- Updating existing records (UPDATE)
- Deleting records (DELETE)
- Importance of transactions and rollback
Module 4: Joins & Data Relationships
- Understanding relationships between tables
- INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
- Using UNION and UNION ALL
- Subqueries vs. Joins: When to use each
Module 5: Aggregations & Advanced Filtering
- Using GROUP BY for summarizing data
- Aggregation functions (SUM, COUNT, AVG, MIN, MAX)
- Filtering groups with HAVING vs. WHERE
- Using CASE statements for conditional logic
Module 6: Working with Views & Stored Procedures
- Creating and managing views for reusable queries
- Introduction to stored procedures
- Executing stored procedures with parameters
- Benefits of using stored procedures for business reports
Module 7: Performance Optimization & Indexing
- Understanding indexes and their impact on performance
- Clustered vs. Non-clustered indexes
- Query execution plans: How SQL Server processes queries
- Best practices for writing efficient queries
Module 8: Using SSMS for Business Reports
- Writing queries tailored for reporting
- Exporting data from SSMS (CSV, Excel)
- Automating routine queries using SQL Agent Jobs
- Troubleshooting common query issues
Module 9: Introduction to Azure Synapse & Integration with Dynamics 365
- Overview of Azure Synapse Analytics
- How Microsoft Dynamics 365 stores and processes data
- Connecting SSMS to Azure Synapse
- Best practices for querying cloud-based data
Module 10: Hands-on Capstone Project
- Real-world business reporting scenario
- Writing optimized queries to extract necessary data
- Presenting query results in a business-friendly format
- Peer review and feedback session
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