Who should attend the Developing and Querying Complex Data Patterns course?

Ideal for data modelers, DBAs, data architects, developers, BI specialists, ETL developers, and technical leads seeking to master complex SQL patterns.

What will I learn in this course?

You’ll learn to implement complex data patterns, translate logical models into physical schemas, write advanced SQL queries, and apply best practices for pattern reuse.

What’s included with the course?

Includes digital badge, certificate of completion, ACCET CEUs, IIBA PDUs, comprehensive course manual, case study materials, and supplemental resources.

As data complexity scales, capability becomes the constraint.
Without mastery, structure turns into instability.

CODING & QUERYING COMPLEX DATA PATTERNS TRAINING

Business Readiness
Complex Data Patterns & SQL Focus

Requirements don’t fail in the business layer - they fail when complex data can’t be implemented or queried correctly.

Many-to-many relationships, hierarchies, time-based history, and metadata-driven structures require specialized patterns. Without them, teams ship workarounds, slow queries, and fragile logic.

Data Pattern Readiness Signals

✅ Many-to-many intersections make queries brittle as complexity grows
✅ Teams struggle with hierarchies, nested relationships, and recursion
✅ Time-based history is inconsistent across effective dating and versioning
✅ Edge-case joins introduce duplicates, gaps, and reporting defects
✅ Performance degrades as datasets scale without optimized patterns

A shared pattern-based approach reduces defects, accelerates implementation, and improves confidence that analytics and applications reflect real business rules.

Explore team-based training options

Team Training
Onsite or Live Virtual

Equip your team to recognize, design, code, and query complex data patterns using practical SQL techniques - so requirements translate cleanly into robust implementations and reporting.

✅ Instructor-led | Live virtual or onsite
✅ Hands-on SQL labs and pattern exercises
✅ Pattern coverage: joins, hierarchies, networks, time-based data, subtypes, metadata
✅ Designed for developers, analysts, data modelers, and BI/ETL teams
✅ Frameworks, templates, and query strategies you can reuse
✅ Reduce defects, rework, and performance surprises

Leverage team training to accelerate requirements-to-implementation with proven data pattern techniques.

Ready to strengthen your team’s SQL and complex data pattern capability?

Let’s Start a Conversation

Let’s discuss your data environment, target patterns, and delivery format for a high-impact team training engagement.

300,000+

Professionals trained

PDUs / CDUs

4.8★

Average participant rating

Fortune 500

Trusted by global brands

Curriculum at a glance

Section 1 — SQL Join Refresher

Essential joins: Left Inclusive, Left Exclusive, Full Outer Inclusive, Right Inclusive, Right Exclusive, Full Outer Exclusive, and the Inner Joines.

Section 2 — Associations

Resolving and querying the intersection of many-to-many relationships

Section 3 — Repeating Groups

Resolving and querying the concept of multiple occurrences of a describing attribute for a single occurrence of an identifying attribute.

Section 4 — Recursive Hierarchy

Resolving and querying the concept of a one-to-many relationship between an entity and itself in a nested hierarchy.

Section 5 — Recursive Network

Resolving and querying the concept of a many-to-many relationship between an entity and itself in a nested hierarchy.

Section 6 — Time Based Data

Resolving and querying the concept of the change in value of attributes over time where the changing values need to be maintained retrospectively and/or prospectively.

Section 7 — Super Type / Sub Type

Resolving and querying the concept of specialized behavior and attribute inheritance

Section 8 — Meta Data Pattern

Resolving and querying data in a consistent manner across complex data structures.

Section 9 — Side Quests: Attributes, Domains, and Foreign Keys

Three core concepts to enable managing and querying complex data.

Inteq’s Developing (Coding) and Querying Complex Data Patterns training course provides professionals with the skills to recognize, design, code, and query complex data structures with precision and confidence.

One of the most difficult aspects of the software development lifecycle is translating business requirements into accurate, scalable implementations - especially within the data layer, where structural mistakes can cascade into defects, rework, and performance issues.

Participants learn to code and query complex data relationships, advanced hierarchies, temporal structures, and nested patterns commonly found in enterprise databases, analytics platforms, and modern reporting environments.

TEAM TRAINING Live High-Impact Shared Training Experience

How Organizations Use This Training

Turning complex data structures into reliable, scalable implementations

Organizations deploy this training to reduce defects, rework, and performance issues caused by improperly modeled or queried complex data patterns in enterprise systems.

✅ Correctly implement many-to-many relationships and associations
✅ Query hierarchies, recursive structures, and network-style relationships
✅ Handle time-based data, versioning, and historical audit requirements
✅ Eliminate brittle SQL caused by ad-hoc joins and workaround logic
✅ Improve query performance as data volume and structural complexity grow

When teams share a pattern-based approach to complex data, implementations stabilize, performance improves, and systems scale with confidence.

Strategic Engagement

Ready to strengthen how your team designs and queries complex data?

We’ll work with you to understand your data environment, recurring problem patterns, and delivery challenges - then tailor training to the structures your teams work with every day.

Conversations typically focus on data models, query complexity, performance constraints, participant roles, delivery format, and how to apply patterns immediately after training.

Let’s Start a Conversation

We’ll help define scope, delivery approach, and next steps.

Results our learners report

Trusted by technical teams working with complex data environments

“We finally stopped guessing with SQL”

This course clarified how to handle many-to-many relationships, hierarchies, and time-based data correctly. Our queries are cleaner, faster, and far more reliable.

★★★★★

Aaron L.

Senior SQL Developer — Financial Services

“Exactly what our data layer was missing”

The pattern-based approach helped our team eliminate fragile workarounds. We now implement complex structures intentionally instead of patching issues after release.

★★★★★

Pamela N.

Data Architecture Lead — Healthcare Technology

“Fewer defects, better performance”

We reduced reporting defects and improved query performance almost immediately. The time-based and recursive patterns alone paid for the training.

★★★★★

Erik R.

BI & Analytics Manager — Logistics & Supply Chain

FAQ

Is there a prerequisite? ▾

No. Inteq’s Developing and Querying Complex Data Patterns provides a comprehensive and cohesive approach regardless of background and level of experience.

What key concepts will I learn?

Identify and model complex data relationships and structures
Develop strategies for querying nested and hierarchical data
Use advanced SQL techniques and pattern recognition
Optimize data access and query performance in complex datasets
Bridge data design with business reporting requirements
Develop hands-on proficiency writing SQL queries tailored to complex data patterns.

Who Should Attend? ▾

Software Engineers and Application Developers
Data Modelers, DBAs, Data Analysts and Data Architects
Data Analytics and Business Intelligence Professionals
ETL Developers and SQL Developers
System Analysts and Application Designers
Anyone working with complex or high-volume datasets

What are the key benefits? ▾

Enhance data modeling and querying capabilities
Guide technical teams in transforming well-defined requirements from logical data models into effective physical implementations
Cultivate skills in SQL to implement complex data patterns using Inteq’s advanced data modeling techniques
Translating complex data requirements into robust technical solutions that reflect business needs.
Support advanced analytics and reporting functions
Accelerate the development lifecycle by providing technical teams with a streamlined path from requirements to implementation.

What’s In the “Box”? ▾

14 CEUs, 1.4 IIBA PDUs
Personalized Digital Badge
Certificate of Completion
Comprehensive Course Manual PDF
Templates, Models, and Frameworks

What Sets This Course Apart? ▾

Taught by industry expert James Davidson
This course combines advanced techniques with hands-on exercises to solve real-world data challenges
Inteq’s data patterns that provide the foundation for modeling and implementing complex data oriented business rules and data structures at scale.

What organizations achieve with Coding & Querying Complex Data Patterns training

Organizations use this training to reduce implementation risk, eliminate fragile SQL workarounds, and ensure complex data structures are designed and queried correctly from the start.

✅ Reduce defects caused by incorrect joins, hierarchies, and associations
✅ Improve query accuracy and performance as data volume and complexity scale
✅ Standardize how complex patterns are modeled and queried across teams
✅ Eliminate brittle, hard-to-maintain SQL logic and reporting workarounds
✅ Increase confidence that systems reflect real business rules

The greatest impact occurs when teams share a pattern-based approach - preventing rework and performance issues before they reach production.

Ready to strengthen your data layer before complexity becomes a liability?

Let’s discuss your data environment, current challenges, and target patterns to determine how this training can reduce risk and improve delivery outcomes.

What happens next: