Course Outline

Quick Recap on Table Joins, Queries, and Basic Summary Functions:

  • Review the concepts of primary keys and foreign keys for maintaining data integrity in government databases.
  • Differentiate between inner joins and outer joins to effectively combine data from multiple tables for government use.
  • Understand the significance of link tables and self-joins in relational database management systems for government applications.
  • Utilize WHERE and HAVING clauses for precise data filtering and conditional aggregation in government datasets.
  • Explore Common Table Expressions (CTEs) to define temporary result sets for complex government queries.
  • Incorporate sub-queries as columns within SELECT statements for advanced data manipulation for government purposes.
  • Master main summary functions such as COUNT, SUM, AVG, MIN, and MAX for comprehensive data analysis in government projects.
  • Learn to group data using the GROUP BY clause and apply filtering conditions with the HAVING clause for detailed reporting for government agencies.

Extended Summary Functions:

  • Explore advanced summary functions including ROLLUP, CUBE, GROUPING, and GROUPING_ID for multi-level aggregation and subtotaling in government data analysis.

Hierarchical Queries:

  • Learn to query hierarchical data structures using the CONNECT BY PRIOR syntax for government data management.
  • Understand recursive Common Table Expressions (CTEs) for handling hierarchical data relationships in government databases.

Data Densification:

  • Utilize techniques such as CONNECT BY ROWNUM and recursive CTEs for data densification to enhance government datasets.
  • Explore the concept of partitioned outer joins for expanding data sets in government applications.

Set Operators:

  • Master set operations including UNION, UNION ALL, INTERSECT, and MINUS for combining and comparing data sets for government analysis.

Analytic/Window Functions:

  • Explore a variety of analytic functions for performing calculations across rows and columns in government datasets.
  • Learn ranking functions such as ROW_NUMBER, RANK, and DENSE_RANK for data ranking and ordering in government reports.
  • Understand Lead and Lag functions for accessing data from preceding or following rows in government analyses.
  • Utilize percentile functions for analyzing data distribution in government studies.

Execution Plan and Indexes:

  • Understand how to analyze and interpret SQL execution plans for query optimization and performance tuning in government systems.
  • Explore the role of indexes in improving query performance and data retrieval efficiency for government operations.

Requirements

Participants should possess a foundational understanding of SQL principles, including the creation of tables, insertion of data, and construction of basic queries.

Previous experience with Oracle SQL or any other relational database management system is beneficial but not required.

Familiarity with key database concepts such as primary keys, foreign keys, and data normalization will be advantageous for government applications.

 14 Hours

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