T-SQL Querying: Advanced Techniques
placeVeenendaal 6 jul. 2026 tot 7 jul. 2026Toon rooster event 6 juli 2026, 09:00-16:00, Veenendaal event 7 juli 2026, 09:00-16:00, Veenendaal |
placeUtrecht 7 sep. 2026 tot 8 sep. 2026Toon rooster event 7 september 2026, 09:00-16:00, Utrecht event 8 september 2026, 09:00-16:00, Utrecht |
Meer weten over de onderwerpen die aan bod komen en de vereiste voorkennis? Neem vrijblijvend contact met ons op.
Extend your T-SQL knowledge to write optimal queries
You learn to use advanced features of Transact-SQL. This will enable you to consider different solution strategies to solve business questions, leading to a more optimal solution.
- Refresher
- Table Expressions
- Set Operators
- Window Ranking, Offset and Aggregate Functions
- Pivot Tables and Grouping Sets
- Programming with T-SQL
In this module we will make sure everyone remembers the basics of querying and we can continue at the same level. Goals:
- Standard elements of a SELECT query
- Joins
- Grouping & Aggregating
- Subqueries
Table expressions are SQL elements that are not a table but can (mostly) be used as if they were in fact …
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.
Meer weten over de onderwerpen die aan bod komen en de vereiste voorkennis? Neem vrijblijvend contact met ons op.
Extend your T-SQL knowledge to write optimal queries
You learn to use advanced features of Transact-SQL. This will
enable you to consider different solution strategies to solve
business questions, leading to a more optimal solution.
- Refresher
- Table Expressions
- Set Operators
- Window Ranking, Offset and Aggregate Functions
- Pivot Tables and Grouping Sets
- Programming with T-SQL
In this module we will make sure everyone remembers the basics of
querying and we can continue at the same level. Goals:
- Standard elements of a SELECT query
- Joins
- Grouping & Aggregating
- Subqueries
Table expressions are SQL elements that are not a table but can
(mostly) be used as if they were in fact a table. Goals:
- Views
- Table Valued Functions
- Derived Tables
- Common Table Expressions (CTE)
- Apply
- When to pick which option?
Set Operators allow you to vertically combine and compare two
similar result sets. This contrasts joins, where you are
horizontally combining data. Goals:
- UNION (ALL)
- EXCEPT / INTERSECT
Window functions are ideal for many analytics scenarios like
running totals and moving averages. They also allow you to 'time
travel' to previous or following values in your result set.
Goals:…
Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.


