Course Outline

Introduction

  • Definition of Analytic Functions
  • Benefits and Use Cases for Government
  • Overview of Common Analytic Functions for Government

Basic Analytic Functions

  • ROW_NUMBER(), RANK(), DENSE_RANK()
  • Understanding the PARTITION BY and ORDER BY Clauses for Government Applications
  • Examples and Use Cases for Government Operations

Statistical Analytic Functions

  • SUM(), AVG(), MIN(), MAX()
  • LEAD() and LAG()
  • Use Cases and Scenarios for Government Data Analysis

Windowing Clause

  • Exploring the WINDOWING Clause in Government Databases
  • Understanding UNBOUNDED, CURRENT ROW, and N PRECEDING/FOLLOWING for Government
  • Practical Applications for Government Data Management

Advanced Analytic Functions

  • FIRST_VALUE() and LAST_VALUE()
  • PERCENTILE_CONT() and PERCENTILE_DISC()
  • Use Cases and Comparisons for Government Analytics

Complex Queries with Analytic Functions

  • Combining Analytic Functions with GROUP BY in Government Databases
  • Nested Analytic Functions for Enhanced Data Analysis in Government
  • Real-World Examples of Complex Queries for Government Operations

Optimizing Analytic Functions

  • Efficient Use of Analytic Functions in Large Datasets for Government
  • Analyzing Query Performance for Government Applications
  • Indexing Strategies for Improved Efficiency in Government Data Systems

Troubleshooting and Best Practices

  • Identifying and Resolving Common Issues in Government Data Queries
  • Best Practices for Writing Efficient Queries for Government Use
  • Tips for Maintaining and Updating Analytic Function Queries in Government Systems

Summary and Next Steps

Requirements

  • Basic knowledge of SQL
  • Familiarity with relational databases
  • Intermediate programming experience, preferably in SQL

Audience for Government

  • Database administrators
  • SQL developers
  • Data analysts
 21 Hours

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