Öppna kurser
Writing Advanced SQL Queries Training
In this hands-on Writing Advanced SQL Queries course, you learn to exploit the full potential of the SELECT statement to write robust queries using the best query method for your application, test your queries, and avoid common errors and pitfalls. It also teaches alternative solutions to given problems, enabling you to choose the most efficient solution in each situation.
Distansutbildning i samarbete med Learning Tree.
Nyckelfunktioner
- Choose from blended on-demand and instructor-led learning options
- Exclusive LinkedIn group membership for peer and SME community support
- After-course instructor coaching benefit
- Learning Tree end-of-course exam included
- After-course computing sandbox included
Du kommer lära dig att
- Maximise the potential of SQL to build powerful, complex and robust SQL queries
- Query multiple tables with inner joins, outer joins and self joins
- Construct recursive common table expressions
- Summarise data using aggregation and grouping
- Execute analytic functions to calculate ranks
- Build simple and correlated subqueries
- Thoroughly test SQL queries to avoid common errors
- Select the most efficient solution to complex SQL problems
Kursöversikt
SQL fundamentals
- Why SQL can be both easy and difficult
- Recommendations for thorough testing
Retrieving data with SELECT
- Expressions
- Literals
- Handling NULLs properly
Executing queries
- Analysing query plans
- Enhancing query performance
- Retrieving partly results with FETCH and OFFSET
- Selecting the best alternatives
- Avoiding errors and pitfalls
Querying Multiple Tables
Implementing various types of joins
- Inner joins
- Cross joins
- Left, right and full outer joins
- Equijoins vs. theta joins
- The performance implications of joins
- Adding filter conditions to outer joins
Writing self joins
- Joining a table to itself
- Chaining self joins
- Solving time-interval problems
Combining queries with set operators
- UNION
- UNION ALL
- INTERSECT
- EXCEPT
Aggregate Functions
Summarising data with aggregate functions
- COUNT
- SUM
- AVG
- MIN
- MAX
- Managing NULLs
- identifying duplicates
Grouping data
- GROUP B
- Applying conditions with HAVING
- Calculating moving averages
- Building crosstab reports
Extending group queries
- Nesting grouped aggregates
- Joins and grouping
- Introducing subtotals with CUBE and ROLLUP
Performing Extensive Analysis with Analytic Functions
The OVER clause
- Specifying the ordering before applying the function
- Splitting the result set into logical partitions
Calculating ranks
- RANK and DENSE_RANK
- ROW_NUMBER with ordered sets
- Calculating percentiles
Extending the use of aggregates
- Partitioning in multiple levels
- Computing running totals
- Comparing row and aggregate values
- Top-N queries
- Defining sliding window boundaries
Building Subqueries
Self-contained subqueries
- Subqueries in conditions and column expressions
- Creating multilevel subqueries
- Avoiding problems when subqueries return NULLs
- Handling multirow subquery results
- Finding gaps in number series
Correlated subqueries
- Accessing values from the outer query
- EXISTS vs. IN
- Identifying duplicates
- Avoiding accidental correlation
Common table expressions
- Reusable subqueries
- Recursive subqueries
- Traversing hierarchies
Breaking Down Complex Queries
- Overcoming SQL limitations
- Reducing complexity and improving performance
