Group Category: Use Case
Product Category: Database Design & Development
Sub Category: PostgreSQL
Analyze employer-employee relationships and workplace distribution with real-world SQL exercises.
Business Overview:
Employment Relationship Analysis helps you uncover how professionals are connected to their current employers across locations, industries, and organizational structures. This hands-on SQL guide is perfect for analysts, HR tech enthusiasts, and compliance professionals who want to explore employment patterns in a financial regulatory setting. Using a PostgreSQL-compatible dataset with 13 interconnected tables, you’ll write SQL queries that analyze employment status, major employers, location reach, and data quality of employer records—ideal for mapping labor distribution and organizational complexity.
Product Highlights:
- A structured PDF guide featuring 5 employment-focused SQL use cases
- Real-world scenarios analyzing professional-employer relationships and geographic spread
- Built on PostgreSQL relational data for hands-on query practice
- Great for analytics learners, workforce planners, or HR systems analysts
- Practical addition to portfolios involving employment and organizational analytics
Learning Outcome:
By completing these use cases, you’ll gain skills in:
- Using SQL
JOINs to map employment relationships - Counting and ranking top employers by professional volume
- Analyzing geographic distribution of workforce and employer presence
- Detecting multi-location employers and assessing address data quality
This file lists current employers of financial professionals, including employer IDs and metadata.
- Enables linking professionals to their current organizations.
- Helps identify top employers and supports structural and geographic analysis of firms.
This dataset stores basic profile data of financial professionals.
- Contains names, IDs, and other personal fields to support employment and compliance analysis.
- Serves as a foundational table for joining with employment, registration, and disciplinary data.
This dataset contains location data for financial firms’ branch offices.
- Includes identifiers, location names, and geographic details.
- Useful for mapping employer spread and analyzing multi-location firms.
- Supports SQL use cases involving regional distribution and organizational presence.
$2.00 $1.50 25% OFF
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