Advanced SQL Course | DevelopIntelligence

Course Summary

The Advanced SQL training course is designed to teach students how Structured Query Language (SQL) works under the covers.

The course begins with a lesson on how to write elegant, high-performance queries and how to troubleshoot and solve complex challenges with ease. The course then dives into establishing some often-overlooked theoretical aspects of SQL, while laying layer after layer of deep foundational understanding and emphasizing practical applied implications. The curse will then cover the most efficient ways to use SQL efficiently and elegantly using things like set operators, window functions, common table expressions, lateral joins and more.

Purpose

Learn a deep understanding of the logical query processing aspects of both traditional and the most advanced, modern constructs of the SQL language.

Audience

Graduates of the “Introduction to SQL” course, and any developer or Analyst wanting a deep understanding of SQL.

Role

Business Analyst - Data Engineer - Data Scientist - Software Developer

Skill Level

Advanced

Style

Targeted Topic - Workshops

Duration

3 Days

Related Technologies

SQL

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Productivity Objectives:

Troubleshoot, optimize and solve complex SQL challenges.
Evaluate common pitfalls.
Demonstrate high-performing solutions minimizing bugs and resources, improving consistency, productivity, and performance.

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about our training

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
Expert Practitioners

Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

What You'll Learn

In the Advanced SQL training course, you'll learn:

Understanding query logical and physical processing
- Advanced JOIN processing
  - Cartesian products
  - Qualified joins
  - Reserving tables
  - ANSI 89 vs. ANSI 92 joins
  - Lateral derived tables
- Filtering and dealing with missing data complexities
  - The case for NULL and I-values vs. A-values
  - Ternary logic and predicates
  - Advanced logical operators
- Understanding grouping and group filters
  - The need for grouping data
  - Aggregate functions and the logical limitations of grouped sets
  - DISTINCT vs. grouped queries
  - The do’s and don’ts of group filters
  - Introduction to ordered set functions
- Efficient paging and ordering
  - The role of presentation ordering in multi-tier applications
  - Understanding the LIMITs of FETCH and OFFSET
Advanced querying constructs
- Changing to a ‘set oriented’ thinking
  - Sets vs. bags, rows vs. records, fields vs. columns
  - The ‘all-at-one’ principal
  - RBAR (Row by Agonizing Row) processing
- Advanced subqueries and query compositions
  - Correlation predicates
  - Expression subqueries and derived tables
  - Value list subqueries
  - The benefits of EXISTS processing
- Unleashing the power of set operators
  - Advanced use of UNION, EXCEPT, and INTERSECT
Recursions, window functions, and imperative processing
- The use cases for recursive and iterative constructs in SQL
  - Recursive common table expressions
  - The use case for imperative constructs
- Using window functions to the max
  - Understanding window function processing
  - Framing and filtering windows
  - Aggregate, ranking, analytic and offset window functions
- Imperative processing in SQL
  - Using vs. abusing cursors
  - Loops
  - Temporary objects