Course Outline

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

  • Review the concepts of primary keys and foreign keys to ensure data integrity for government databases.
  • Differentiate between inner joins and outer joins to effectively combine data from multiple tables for government reporting.
  • Understand the significance of link tables and self-joins in relational databases to support complex data relationships for government operations.
  • Utilize WHERE and HAVING clauses to filter data and perform conditional aggregation, enhancing data accuracy for government analysis.
  • Explore Common Table Expressions (CTEs) to define temporary result sets, improving query readability and efficiency for government applications.
  • Incorporate sub-queries as columns within SELECT statements to achieve advanced data manipulation for government reporting.
  • Master main summary functions such as COUNT, SUM, AVG, MIN, and MAX to support comprehensive data analysis for government decision-making.
  • Learn to group data using the GROUP BY clause and apply filtering conditions with the HAVING clause to refine data sets for government use.

Extended Summary Functions:

  • Explore advanced summary functions including ROLLUP, CUBE, GROUPING, and GROUPING_ID to support multi-level aggregation and subtotaling for government reporting.

Hierarchical Queries:

  • Learn to query hierarchical data structures using the CONNECT BY PRIOR syntax to manage complex organizational data for government applications.
  • Understand recursive Common Table Expressions (CTEs) to handle hierarchical data relationships, ensuring accurate representation of organizational structures for government use.

Data Densification:

  • Utilize techniques such as CONNECT BY ROWNUM and recursive CTEs to densify data sets, enhancing the completeness of government datasets.
  • Explore the concept of partitioned outer joins to expand data sets, improving data coverage for government analysis.

Set Operators:

  • Master set operations including UNION, UNION ALL, INTERSECT, and MINUS to combine and compare data sets, supporting comprehensive data integration for government reporting.

Analytic/Window Functions:

  • Explore a variety of analytic functions to perform calculations across rows and columns, enhancing the depth of data analysis for government purposes.
  • Learn ranking functions such as ROW_NUMBER, RANK, and DENSE_RANK to support data ranking and ordering for government reporting.
  • Understand Lead and Lag functions to access data from preceding or following rows, improving temporal analysis for government datasets.
  • Utilize percentile functions to analyze data distribution, supporting statistical insights for government decision-making.

Execution Plan and Indexes:

  • Understand how to analyze and interpret SQL execution plans to optimize query performance and enhance data retrieval efficiency for government systems.
  • Explore the role of indexes in improving query performance and data retrieval efficiency, ensuring timely access to critical information for government operations.

Requirements

Participants are expected to possess a foundational understanding of SQL fundamentals, including the creation of tables, insertion of data, and construction of basic queries. Prior 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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