Microsoft SQL Server 2019 Database Design

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Certificate

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37 Videos
6.22
75 Test Questions

Microsoft SQL Server 2019 Database Design

Course Highlights

Closed Caption

Certificate

Dedicated Tutors

6.22
37 Videos

Microsoft SQL Server 2019 Database Design

Course Description

6.22

37 Videos

Microsoft SQL Server 2019 Database Design

The Microsoft SQL Server 2019 Database Design course is aimed at database developers and architects who want to master the principles and practices of designing efficient, scalable, and reliable databases using SQL Server 2019. This course covers the fundamental concepts of database design, including normalization, schema design, and data integrity, and provides practical guidance on how to implement these concepts within SQL Server.

Key Features:

  • Database Design Principles: Understand the core principles of database design, including normalization, denormalization, and data modeling, to create well-structured and efficient databases.
  • Schema Design: Learn how to design database schemas that accurately represent business requirements, including creating tables, relationships, and constraints to enforce data integrity.
  • Data Types and Constraints: Explore SQL Server’s data types and how to use constraints such as primary keys, foreign keys, unique constraints, and check constraints to ensure data quality and consistency.
  • Indexing Strategies: Discover techniques for creating and managing indexes to optimize query performance, including clustered and non-clustered indexes, as well as understanding index design best practices.
  • Stored Procedures and Functions: Learn how to design and implement stored procedures and user-defined functions to encapsulate business logic and improve database performance.
  • Views and Security: Understand how to use views to simplify complex queries and secure data by controlling access through user permissions and roles.
  • Normalization and Denormalization: Delve into the concepts of normalization to reduce data redundancy and improve data integrity, as well as denormalization techniques to optimize performance for specific use cases.
  • Data Relationships and Integrity: Master the design of data relationships, including one-to-many and many-to-many relationships, and learn how to enforce referential integrity.
  • Performance Considerations: Explore design considerations that impact database performance, including partitioning, indexing, and efficient query design.
  • Tools and Best Practices: Gain experience with SQL Server tools for database design, such as SQL Server Management Studio (SSMS) and SQL Server Data Tools (SSDT), and learn best practices for maintaining and evolving database designs.

This course provides a thorough understanding of database design with SQL Server 2019, equipping professionals with the skills needed to create and manage databases that support efficient data storage, retrieval, and integrity.

Course Highlights

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Course Syllabus

Chapter One:

Module 1 – Designing and Building Tables

  1. Course Introduction
  2. Module 1 Introduction
  3. Introduction to Database Design
  4. Creating Tables
  5. Data Types
  6. Schemas
  7. Altering Tables

Chapter Two:

Module 2-Enforcing Data Integrity

  1. Module 2 Introduction
  2. Introduction to Data Integrity
  3. Data Domain Integrity
  4. Implementing Data Domain Integrity
  5. Implementing Entity and Referential Integrity

Chapter Three:

Module 3 – Indexing

  1. Module 3 Introduction
  2. Core Indexing Concepts
  3. Heaps, Clustered, and Nonclustered Indexes
  4. Data Types and Indexes
  5. Single Column and Composite Indexes

Chapter Four:

Module 4 – Stored Procedures, Functions, and Triggers

  1. Module 4 Introduction
  2. Introduction to Database Programming
  3. Creating Stored Procedures
  4. Creating User-Defined Functions
  5. Creating Triggers

Chapter Five:

Module 5 – Blob and Filestream Data

  1. Module 5 Introduction
  2. Introduction to Binary Data
  3. Considerations for BLOB data
  4. FILESTREAM Example
  5. File Table Example

Chapter Six:

Module 6 – Full-Text Search

  1. Module 6 Introduction
  2. Introduction to Full-Text Search
  3. Full-Text Catalogs
  4. Full-Text Indexes
  5. Full-Text Queries

Chapter Seven:

Module 7 – Azure vs On-Prem

  1. Module 7 Introduction
  2. SQL Server on Azure VM
  3. Azure Managed SQL Instance
  4. Azure SQL Database
  5. Course Wrap Up

Chapter Eight:

 

Chapter Nine:

 

Chapter Ten:

 

Chapter Eleven:

 

Chapter Twelve:

 

Chapter Thirteen:

 

Chapter Fourteen:

 

Chapter Fifteen:

 

Chapter Sixteen:

 

Chapter Seventeen:

 

Chapter Eighteen:

 

Chapter Ninteen:

 

Chapter Twenty:

 

Chapter Twenty One:

 

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Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

Frequently Asked Questions

Instructional methods, course requirements, and learning technologies can vary significantly from one online program to the next, but the vast bulk of them use a learning management system (LMS) to deliver lectures and materials, monitor student progress, assess comprehension, and accept student work. LMS providers design these platforms to accommodate a multitude of instructor needs and preferences.

Online education may seem relatively new, but years of research suggests it can be just as effective as traditional coursework, and often more so. According to a U.S. Department of Education analysis of more than 1,000 learning studies, online students tend to outperform classroom-based students across most disciplines and demographics. Another major review published the same year found that online students had the advantage 70 percent of the time, a gap authors projected would only widen as programs and technologies evolve.

All new learning innovations are met with some degree of scrutiny, but skepticism subsides as methods become more mainstream. Such is the case for online learning. Studies indicate employers who are familiar with online degrees tend to view them more favorably, and more employers are acquainted with them than ever before. The majority of colleges now offer online degrees, including most public, not-for-profit, and Ivy League universities. Online learning is also increasingly prevalent in the workplace as more companies invest in web-based employee training and development programs.

The concern that online students cheat more than traditional students is perhaps misplaced. When researchers at Marshall University conducted a study to measure the prevalence of cheating in online and classroom-based courses, they concluded, “Somewhat surprisingly, the results showed higher rates of academic dishonesty in live courses.” The authors suggest the social familiarity of students in a classroom setting may lessen their sense of moral obligation.

Choosing the right course takes time and careful research no matter how one intends to study. Learning styles, goals, and programs always vary, but students considering online courses must consider technical skills, ability to self-motivate, and other factors specific to the medium. Online course demos and trials can also be helpful.
Our platform is typically designed to be as user-friendly as possible: intuitive controls, clear instructions, and tutorials guide students through new tasks. However, students still need basic computer skills to access and navigate these programs. These skills include: using a keyboard and a mouse; running computer programs; using the Internet; sending and receiving email; using word processing programs; and using forums and other collaborative tools. Most online programs publish such requirements on their websites. If not, an admissions adviser can help.

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Description

Microsoft SQL Server 2019 Database Design

The Microsoft SQL Server 2019 Database Design course is aimed at database developers and architects who want to master the principles and practices of designing efficient, scalable, and reliable databases using SQL Server 2019. This course covers the fundamental concepts of database design, including normalization, schema design, and data integrity, and provides practical guidance on how to implement these concepts within SQL Server.

Key Features:

  • Database Design Principles: Understand the core principles of database design, including normalization, denormalization, and data modeling, to create well-structured and efficient databases.
  • Schema Design: Learn how to design database schemas that accurately represent business requirements, including creating tables, relationships, and constraints to enforce data integrity.
  • Data Types and Constraints: Explore SQL Server’s data types and how to use constraints such as primary keys, foreign keys, unique constraints, and check constraints to ensure data quality and consistency.
  • Indexing Strategies: Discover techniques for creating and managing indexes to optimize query performance, including clustered and non-clustered indexes, as well as understanding index design best practices.
  • Stored Procedures and Functions: Learn how to design and implement stored procedures and user-defined functions to encapsulate business logic and improve database performance.
  • Views and Security: Understand how to use views to simplify complex queries and secure data by controlling access through user permissions and roles.
  • Normalization and Denormalization: Delve into the concepts of normalization to reduce data redundancy and improve data integrity, as well as denormalization techniques to optimize performance for specific use cases.
  • Data Relationships and Integrity: Master the design of data relationships, including one-to-many and many-to-many relationships, and learn how to enforce referential integrity.
  • Performance Considerations: Explore design considerations that impact database performance, including partitioning, indexing, and efficient query design.
  • Tools and Best Practices: Gain experience with SQL Server tools for database design, such as SQL Server Management Studio (SSMS) and SQL Server Data Tools (SSDT), and learn best practices for maintaining and evolving database designs.

This course provides a thorough understanding of database design with SQL Server 2019, equipping professionals with the skills needed to create and manage databases that support efficient data storage, retrieval, and integrity.

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