Agentic SQL and Data Engineering
SQL and pipeline code look simple until a silent error corrupts a report. In this one-day workshop you use coding agents to write queries, transformations and pipeline code, and you build the validation habits that keep results trustworthy. You practise reading execution plans, testing data logic and handling sensitive data responsibly.
Request without obligation- Duration
- 1 day
- Level
- Intermediate
- Format
- Remote or on-site, English or German
- Group size
- Up to 12 participants per trainer
Who it is for
- Data engineers and analytics engineers
- Backend developers who write complex SQL
- BI developers maintaining transformation logic
- Tech leads responsible for data quality
What your team will be able to do
- Write and refactor SQL queries with agent support and verify the results
- Design and review data models and migrations
- Build transformation and pipeline code with automated data tests
- Read execution plans to judge agent-written queries
- Keep production and personal data away from agents
Agenda
- Agents and data contextProvide schema context safely, define what agents may see and set up a sandbox database.
- Queries and transformationsImplement analytical queries and transformations and compare results against known answers.
- Data tests and validationWrite tests for row counts, keys and business rules and learn to spot subtle logic errors.
- Performance reviewRead execution plans and improve queries with indexes and rewrites under review.
- Pipelines and governanceBuild a small pipeline step and discuss access, masking and lineage practices.
Prerequisites
- Good SQL knowledge
- A laptop and access to a sandbox database or one we provide
Why apprat.io workshops
- Taught by practising AI Code Engineers
- Your repositories or a sandbox project
- AI speed, human responsibility: review, security and governance included
- ISO 9001 & ISO/IEC 27001 certified processes
- Follow-up office hours after 30 days
Request without obligation
Tell us about your team and goals. We reply within one business day with a tailored agenda and a quote – free and without obligation.
24/7 call support in English & German:
+49 761 519 751 50
Frequently asked questions
Which database engines are covered?
We work with the engine you use where possible. Core concepts apply across common relational databases.
Will agents access our production data?
No. We strongly recommend synthetic or masked data in a sandbox, and we design the exercises that way.
Is machine learning part of this?
No. The workshop covers SQL and data engineering. Data science workflows are addressed in a separate workshop.
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