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Turn AI anxiety into action

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Bolstering technical skills development in MENA

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Explore new digital career pathways

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Video Resources

How SQL and Database Testing Work in Software Testing

Validate backend data with SQL and database testing. Cover SELECT queries, data integrity checks, stored procedures, and schema validation for QA professionals.

Frequently Asked Questions

What this playlist answers

5 questions this playlist covers — skim them for a quick takeaway, or dive into the videos above for the full picture.

SQL is the standard language for interacting with relational databases. Software testers use SQL to validate backend data, verify that application transactions update the database correctly, and test data integrity. Database testing validates the accuracy, integrity, and reliability of data stored in a database. It ensures applications correctly store, retrieve, and manipulate data while maintaining consistency across tables and relationships. Common commands include SELECT for retrieving data, INSERT for adding records, UPDATE for modifying data, DELETE for removing records, and JOIN for combining results from multiple tables. Data integrity ensures accuracy and consistency of data throughout its lifecycle. Testers validate integrity by checking foreign key constraints, verifying cascading updates or deletes, and confirming no orphaned records exist. Stored procedures are pre-written SQL code stored in a database that executes business logic. Testing them ensures they perform correctly, handle edge cases, return expected results, and do not introduce data errors.
INSIGHTS & FRAMEWORKS

Proprietary research. Actionable frameworks.

 
Generative AI across the value chain: Applications by Fortune 500 enterprises White Paper

Generative AI across the value chain: Applications by Fortune 500 enterprises

A whitepaper exploring how Fortune 500 enterprises are applying generative AI across the value chain to drive strong ROI, with practical insights on where AI delivers the most impact — from strategy to day-to-day operations.

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White Paper

Bridging the skills gap: The power of digital apprenticeships in a rapidly evolving economy

Employers need innovative pathways to effectively bridge the skills gap and build talent pipelines that are adaptable, diverse, and equipped with the latest digital skills. Explore how digital apprenticeships represent a key pathway to growing the workforce of the future.

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Case Study

Leveraging AI to uncover $50M in revenue growth and $500K in savings

How a Fortune 100 beverage brand upskilled 400 employees across 12 countries — and uncovered $50M in revenue opportunities and $550K in cost savings through AI capstone projects.

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White Paper

Data illiteracy: A hidden threat

A whitepaper that frames data illiteracy as a hidden but critical threat to organizational performance, making the case for why building a data-literate workforce is no longer optional — it's essential to staying competitive in the AI economy.

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Case Study

Using customized training solutions to create new career pathways

A case study on how Correlation One partnered with Amazon's Career Choice program to deliver customized technical training across 10 tracks — from data analytics to cybersecurity — helping 2,500+ hourly employees transition into higher-skilled roles within Amazon and its partner ecosystem, with a 90% program completion rate.

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Case Study

Creating an AI talent ecosystem in Latin America

A case study on how SoftBank partnered with Correlation One to build an AI talent pipeline across Latin America through the DS4A program — attracting 2,350 applicants from 8 countries, achieving a 97% retention rate, and generating an estimated $24M in annual cost savings for its portfolio companies.

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Podcast

ADP: AI skills power great customer experiences

A Data Humanized podcast episode featuring Fernando Schwartz, VP of Data Science & ML Engineering at ADP, on how the company develops and integrates internal AI applications across the business while building workforce AI acceptance — all without disrupting the customer experience.

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