SQL + Database Design Pattern Framework

An easy-to-use guide for developers and data architects
building databases with SQL & Data Model patterns.

Only $229                     Only $279

Building world-class databases with:
Standard Edition:
  SQL Design Patterns
  Data Model Patterns
  Data Access Patterns
  Data Persistence Patterns
  Data Experience Patterns
  Object-Relational Patterns
  Auditing & Archiving Patterns
  Normalization Patterns
  Anti-Patterns & Database Smells
  Real-World Reference Application
  Real-World Reference Database

PRO Edition:
  Supertype-Subtype Patterns
  Tree &; Hierarchy Patterns
  Meta Model Patterns
  Seed Data Model Patterns
  Mother of all Data Models

Bonus:
  Data Pattern Cheat Sheet
  SQL Coding and Naming Guide







Two SQL editions:  Standard and PRO

  • The Standard edition builds a solid data pattern foundation.
  • PRO launches you to the top 5% of database professionals.


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Better Data Solutions

If your goal is to create better databases with proven data model patterns and more effective SQL, then this unique package is for you. There is nothing like it!

"A true masterpiece"




Exploring Data Patterns

The SQL Pattern Framework contains design patterns for SQL, data models, and data architectures which simplify your work when it comes to creating databases. Don't waste time reinventing the wheel, use the SQL Framework to get started.

It covers multiple pattern categories including: SQL and Data Access Patterns, Data Model Patterns, Data Persistence Patterns, Auditing & Archiving Patterns, Data Experience Patterns, and Meta Model Patterns.

And we go beyond theory: all patterns are available in real-world reference applications.





SQL Design Patterns

SQL is the query language of relational databases. SQL is unique in that it is a set-oriented language as opposed to record-oriented programming languages. In SQL you only specify what is needed and not how the data is retrieved.

A wide variety of SQL Patterns is covered including CRUD patterns (with hard, soft, undo deletes), JOIN patterns, Subqueries, SQL Batching, NULL value Patterns, Table aliases, SQL Namespace patterns, SQL Injection, and more.

This package emphasizes simple, fast SQL with ultra-short transactions and how to accomplish this through effective patterns and practices.





Data Model Patterns

Experienced data architects know that a solid data model is key to building successful databases.

A suboptimal data model will make it difficult for developers to get data in and out of the database. Applications suffer because they need to perform SQL gymnastics to retrieve and store data. This package will show you how to design simple, effective data models using patterns.

Introductory data patterns include: ER diagrams, Primary key, Foreign keys, Data types, Referential integrity, and Indexing patterns.

Advanced data patterns include: Record name, Rollup column, Sort column, Snapshot, Journaling, Enumeration, Name-Value, Missing marker, External ID, and more. Just this set of patterns is worth the price of the entire package!

A section on anti-patterns discusses database smells including value smells, column smells, table smells, database smells, and transaction smells. Applying patterns to eliminate these will help you build better databases.




What do I get with this package?  Here is a complete table of contents.


Table of Contents
SQL Patterns Introduction
Understanding design patterns for sql and databases.
Evolution of SQL
What are Design Patterns?
What are Data Design Patterns?
Categories of Data Model Patterns
Building Applications with Databases  --  Sets vs Records, Full Stack, Real-world SaaS examples
Data Model Conventions and Style
SQL Conventions and Style
Reference Applications and Data Models

Essential Data Model Patterns
Laying a solid foundation for data models
Agile / Lean Data Models
ER Diagram Patterns
Making Databases User-Friendly
Primary Key Patterns
Foreign Key Patterns
Data Integrity Patterns  --  Entity, Domain, Referential, Business Entegrity, Cadcading Updates & Deletes
Relationship Types  --  1-1, 1-M, M-M, and Others
Choosing Data Types  --  Primary Key & Foreign Key Types, String Types, Numeric Types, Date/Time Types, Boolean Types, etc.
Anti Pattern: Stored Procedures
Anti Pattern: Triggers
Anti Pattern: Views
Anti Pattern: User-Defined Functions
Indexing Patterns  --  Cardinality, Clustered Index, Covered Index, Filtered Index
Does your Database Smell?  --  Value smells, Column smells, Table smells, Database smalls, Transaction Smells

Advanced Data Model Patterns
Advanced data model patterns and best practices
Record Name Pattern
Short Name Pattern  --  Alias Pattern
Rollup Column Pattern
Sort Column Pattern
External ID Pattern
Missing Marker Pattern
Snapshot Pattern
Journaling Pattern
Enumeration Patterns  --  Check Constraints, Bit Columns, Lookup Tables
One True Lookup or MUCK Table Pattern
Name-Value Pattern
Polymorphic Association Pattern
Final Thoughts

Normalization Patterns
Better models through (de)normalization
First Normal Form (1NF)
Second Normal Form (2NF)
Third Normal Form (3NF)
Boyce Codd Normal Form (BCNF)
Fourth Normal Form (4NF)
Fifth Normal Form (5NF)
Domain Key Normal Form (DKNF)
Sixth Normal Form (6NF)
De-normalization Pattern
Normalization Final Thoughts

SQL Patterns & Data Access Patterns
Creating highly effective and efficient queries.
Transactions: Short & Sweet
OLTP vs OLAP
SQL SELECT Patterns
SQL INSERT Patterns
SQL UPDATE Patterns
SQL DELETE Patterns
WHERE Clause
Subquery Patterns
Date &Time Patterns
The IN Clause
Operator Performance  --  Positive Operators vs Negative Operators
NULL Value Pattern
Sargeable Queries
SQL Batch Patterns
Multiple ResultSet Pattern
Table Alias Pattern
SQL Namespaces
SQL Injection  --  Parameterized Queries, White Lists, Black Lists, User Input Constraints, Best Practices
Encryption Patterns
Timeout Patterns
Random Record Pattern

Data Persistence Patterns
Building effective interfaces between applications and databases
Active Record Pattern
Repository Pattern
Data Mapper Pattern
Data Cache Patterns  --  Identity Map Pattern, Lazy Load Pattern, Eager Load Pattern
Unit-of-Work Pattern  --  Concurrency, Isolation Levels, Deadlock Patterns
Query Object Pattern
Null Object Pattern
Media Storage Pattern  --  How to store images, videos, documents, etc.

Object-Relational Patterns
Friction of object-think versus relational-think
Impedence Mismatch  --  Cost, Complexity, Patterns
Object vs Relational
Persistence Ignorance
DDD - Domain Driven Design
OO Data Models  --  Single Table Inheritance, Concrete Table Inheritance, Class Table Inheritance
Object Successes  --  Workday.com

Data Experience Patterns
Creating delightful data interaction experiences for your users
UI/UX
Why UI/UX?
Thinking in CRUD  --  View, Add, Edit, Delete Cycle
DX Patterns  --  DX Design, DX Scaffolding, DX Customization, Related Lists
Search Patterns  --  Exact Search, Pattern Search, Text Search, Lucene.NET
Filter Patterns
Sort Patterns
Saved Views  --  Filter + Sort = Saved Views
Pagination Patterns
Modularity
Data Experience Review

Auditing & Archiving Patterns
Keeping track of data changes and historical data
Auditing Patterns
Logging Patterns  --  Activity Logging, Data Logging, Error Logging
History Patterns
Soft Delete Patterns
History Patterns  --  Reversing History, Undo/Redo
Archiving Pattern

PRO Only: Supertype-Subtype Patterns
Table inheritance and hierarchies
Single Supertype-Subtype Table
Multiple Supertype-Subtype Tables
Deeper Hierarchies
Table Inheritance Patterns
Single Table Inheritance Patterns
Class Table Inheritance Patterns
Concrete Table Inheritance Patterns

PRO Only: Tree & Hierarchy Patterns
Data Models for Trees and Hierarchies
Adjacency Lists
Materialized Paths
Nested Sets
Trees in Action

PRO Only: Meta Model Patterns
The holy grail in data modeling
Meta Modeling Essentials
Meta Models vs Meta Data
Model Extensibility
Custom Column Pattern
EAV Patterns        --  EAV = Entity Attribute Value pattern
EAV with No constraints
EAV with Entity constraints
EAV with Attribute constraints
EAV with Value constraints
EAD Patterns        --  EAD = Entity Attribute Data pattern
EAD in Action
Hybrid SQL and NoSQL  --  Polyglot Persistence
Key Value Stores
Meta Model Success Stories  --  WordPress, Magento, Salesforce
Meta Modeling Review

PRO Only: Seed Data Models
Accelerating data modeling with Seed Models
Party Data Model  --  Modeling People and Organizations
Party Relationships
Party Locator
Party Model in Action
Party Models in the Real World  --  Siebel
Mother of all Models
Excellence Data Models

BONUS: Pattern Cheat Sheet
Valuable Reference Guide to Data Patterns
Essential Data Model Patterns
Advanced Data Model Patterns
Normalization Patterns
SQL & Data Access Patterns
Data Persistence Patterns
Object-Relational Patterns
Data Experience Patterns
Auditing & Archiving Patterns
Meta Model Patterns
Seed Data Model Patterns

BONUS: Database Coding and Naming Conventions
Building consistency with good naming and coding conventions
General Naming Conventions
Database Naming
Schema Naming
Table Naming
Column Naming  --  Primary Key, Foreign Key, Data Types, Nullabiity, Audit
Index Naming
Naming Other Objects  --  Stored Procedures, Triggers, Views
SQL Coding and Formatting Conventions  --  Crafting Legible Queries
Using Table Aliases
Summary





Reference Applications

The SQL Pattern Framework comes with 2 comprehensive reference applications which allow you
to experience and explore the data patterns first hand in a real-world environment.

These are screenshots of the 'Training' application which represents a fictitious software training company.










You actually get to see the benefits of Data Patterns


Many of the data patterns have a visual manifestation in the UI. Those that do are marked with a pattern icon in the application.
Hovering over these icons will show which pattern is at work. As you can see below, many of these patterns have an impact on the user experience.








Below are screenshots of the 'MetaPlus' reference application.

This application will knock your socks off. The meta models in this application allow users to create their own entities and attributes. Essentially the user starts with a blank slate and then builds their own solution (referred to as citizen development).

This is made possible by using meta model patterns and doesn't require any database or code changes! Very powerful.
(note: full documentation on meta models is only available in the PRO edition)









Of course, data models and ER diagrams are available throughout the package.




Get started today

The SQL + Database Design Pattern Framework is a unique package that will show you how to build effective databases through patterns. You will learn to design, build, and access modern databases like a pro and gain a competitive edge, which you can build upon every day. But it takes action.

How to order

Ordering is easy.  Select the license you need and click 'Order Now'.  Following payment you will receive a confirmation email with download instructions. Download, install, and you're ready to go.

Your purchase includes a 1-year subscription which gives you FREE access to any new or updated releases during that period.

There is no risk. Your purchase is 100% backed with a full 60-day money back guarantee!  You will have plenty of time to explore and apply these patterns in your own work. 100% guaranteed






Sql + Database Design Pattern Framework
SQL + Database Design Pattern Framework      
     1 user license $229 order now
     4 user license $429 order now
     site license $929 order now







PRO Sql + Database Design Pattern Framework
PRO SQL + Database Design Pattern Framework      
     1 user license $279 order now
     4 user license $479 order now
     site license $979 order now




P.S.: Give it a try. There is no risk -- 100% money back guarantee!
P.P.S.: This is a unique product with valuable content that is not available anywhere else.