Advanced SQL Course

Structured Query Language (SQL) is the cornerstone of all relational database operations. In this hands-on Advanced SQL course, you will learn how 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. Advanced SQL Course Benefits In this Advanced SQL Course, you will learn how to: Maximize 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. Summarize 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. Advanced SQL Course Prerequisites This is an advanced course, and knowledge of the basics of SQL at the level of Learning Tree course 925, Introduction to SQL Course, or equivalent is assumed. Advanced SQL Course Instructor-Led Outline Module 1: Introduction and Overview 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  Analyzing query plans  Enhancing query performance  Retrieving partial results with FETCH and OFFSET  Selecting the best alternatives  Avoiding errors and pitfalls  Module 2: 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  Module 3: Aggregate Functions Summarizing 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  Module 4: 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  Module 5: 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  Module 6: Breaking Down Complex Queries Overcoming SQL limitations  Reducing complexity and improving performance