Course Outline
SQL Views (View)
Convert queries into reusable views to streamline code development and management. This approach significantly reduces the time required for coding tasks in government databases.
Conditional Functions
Implement conditional data transformations within queries, similar to the If function in Microsoft Excel. The CAST function is particularly useful for these operations in government applications.
Subqueries
Nest queries and create subqueries to build multi-level conditions. This technique enhances the understanding of complex query structures where one query depends on another, supporting efficient data management for government use.
Aggregation
Utilize aggregation functions and data cubes with CUBE, ROLLUP, and GROUPING SETS to count and group data. Functions such as SUM(), MIN(), MAX(), COUNT(), and AVG() are essential, along with filtering record sets using WHERE and HAVING clauses for government datasets.
Window Functions
Work with defined data areas by performing calculations on ordered rows. Use the OVER clause with PARTITION BY and ORDER BY, combined with aggregation functions like SUM(), MIN(), MAX(), COUNT(), AVG() and window-specific functions such as RANK(), ROW_NUMBER(), LEAD(), LAG(), FIRST_VALUE(), and LAST_VALUE(). This is crucial for government data analysis.
CTE Table Expressions
Create and utilize pre-calculated database queries to generate multi-level, easily maintainable code. Common Table Expressions (CTEs) are particularly useful for government applications requiring complex query structures.
Database Data Types
Convert and normalize data retrieved from SQL Server, leveraging the specific data types provided by the database, such as text, numeric values, and dates. Understand the limitations and possibilities of data type conversions using the CAST command, and address potential issues and errors in government data management.
PIVOT/UNPIVOT Type Functions
Rearrange columns to transform data, creating reports that minimize data retrieval volumes. PIVOT and UNPIVOT commands, or CTE-based subqueries, are valuable tools for generating concise reports in government applications.
Query Optimization
Explore methods to enhance query performance and reduce database server load. Learn how to use a query execution plan tool to optimize the processing steps of queries for government systems.
DDL Language
Data Definition Language (DDL) enables the creation, modification, and deletion of SQL objects such as tables, views, and procedures. Commands like CREATE, ALTER, and DROP are essential for defining and managing database structures in government applications.
DML Language
Data Manipulation Language (DML) supports direct data processing on the server using commands such as INSERT INTO for adding records, SELECT INTO for creating tables from queries, UPDATE for modifying data, and DELETE for removing records. These operations are crucial for managing government data efficiently.
Requirements
This training is tailored for individuals who have a foundational understanding of SQL query development or those looking to refresh their skills in this domain. The program is specifically designed to align with the needs and requirements for government professionals, ensuring that participants are well-equipped to enhance their data management capabilities within public sector workflows.
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