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Microsoft SQL Database Design
This Microsoft SQL Server Database Design course emphasizes the skills needed to design high-functioning databases in SQL Server. Not only will you learn about the fundamentals and resources required for an efficient database, but also gain insight and skill into tables, data accuracy and indexes. Plus, we explore essential programming techniques, file storage solutions and full-text search capabilities.
Included In This Course
Included In This Course
6 Training Hours
37 On-demand Videos
Closed Captions
7 Topics
75 Prep Questions
Certificate of Completion
Course Description
Step into the realm of SQL database design with a course tailored to empower you with comprehensive knowledge of the Microsoft SQL Server platform. Our training doesn’t just scratch the surface; we delve deep into SQL database design, unraveling the nuances of relational database design, database schema design, and more. Whether you’re aiming to become a proficient database designer or striving to hone your existing skills, our course modules, packed with 37 on-demand videos and 75 prep questions, offer a holistic training experience.
Key Highlights of Our SQL Database Design Course
- Integrated Learning: Explore designing a database with practical insights into SQL database design. Our program combines theoretical knowledge with hands-on experience, ensuring you grasp every facet of the subject.
- Advanced Tools & Techniques: Dive into the world of database design tools, mastering both foundational principles and specific applications. Learn the difference between logical and physical database design while gaining expertise in design database schema processes.
- Real-world Applications: With modules dedicated to topics like how to design a database, we ensure you’re ready to tackle real-world challenges. Dive into database design examples and understand database best practices to create high-performing systems.
- Engaging Content: Our content is more than just informative. With our course, you’ll have a chance to deep-dive into database systems design implementation & management, expanding your horizons and enabling you to oversee large-scale projects with ease.
- Certification: Upon completion, you will get a certificate of completion in Microsoft SQL Server Database Design, a testament to your newfound expertise.
SQL Database Design Course Outline
Module 1 – Designing and Building Tables
Dive deep into the heart of database design. This module offers a comprehensive understanding of creating robust tables, choosing the right data types, and the importance of schemas in SQL Server. By blending fundamental database design principles with hands-on practices, you’ll be adept at structuring and altering tables effectively.
Module 2 – Enforcing Data Integrity
Data is the lifeblood of any database, but how do you ensure its integrity and accuracy? This module dives into the core concepts of data integrity. You’ll learn the nuances of data domain integrity and strategies to enforce both entity and referential integrity. Equip yourself with techniques to maintain a database that’s both reliable and trustworthy.
Module 3 – Indexing
Efficiency is key when it comes to database performance. This module introduces you to the world of indexing in SQL Server. Grasp core indexing concepts, and understand the differences and use cases for heaps, clustered, and nonclustered indexes. Dive into the interplay between data types and indexes and master the art of designing both single column and composite indexes for optimal performance.
Module 4 – Stored Procedures, Functions, and Triggers
Move beyond basic database design and step into the realm of database programming. Explore the power of stored procedures, the flexibility of user-defined functions, and the responsiveness of triggers. This module provides insights into writing T-SQL code to generate these objects, ensuring a dynamic and interactive database environment.
Module 5 – Blob and Filestream Data
Not all data fits neatly into tables and columns. Delve into the world of binary data, including BLOBs and FILESTREAM. Understand the considerations for storing large objects, and witness practical FILESTREAM and File Table examples. This module ensures you’re equipped to manage varied data types in SQL Server effectively.
Module 6 – Full-Text Search
The ability to search data efficiently can transform a database’s utility. Uncover the capabilities of full-text search in SQL Server. From understanding full-text catalogs to designing efficient full-text indexes, this module ensures that you’re ready to implement powerful search features in your databases.
Module 7 – Azure vs On-Prem
Cloud computing is redefining the database landscape. This concluding module navigates the offerings of SQL Server on Azure VM, Azure Managed SQL Instance, and Azure SQL Database. Understand the differences, benefits, and considerations, helping you make informed decisions about cloud versus on-premises database solutions.
With these modules, the course promises a holistic understanding of Microsoft SQL Server Database Design, catering to both beginners and seasoned professionals aiming to elevate their database design skills.
Our Microsoft SQL Server Database Design course isn’t just another program; it’s a journey. A journey that takes you from the basics of database design principles to the advanced nuances of designing a database schema. Equip yourself with the skills to navigate the dynamic world of database design and management. Embark on this journey with us and redefine your IT trajectory! Join now and transform into a database design maestro.
Salary Opportunities for a Data Architect
These figures are approximate and can vary based on various factors such as experience, education, and company size.
| Major U.S. Cities | Low Salary Range ($) | Median Salary Range ($) | High Salary Range ($) |
|---|---|---|---|
| New York, NY | 120,000 | 150,000 | 190,000 |
| San Francisco, CA | 130,000 | 170,000 | 220,000 |
| Boston, MA | 115,000 | 145,000 | 185,000 |
| Chicago, IL | 110,000 | 140,000 | 175,000 |
| Seattle, WA | 120,000 | 150,000 | 190,000 |
| Austin, TX | 105,000 | 135,000 | 170,000 |
| Atlanta, GA | 100,000 | 130,000 | 165,000 |
| Los Angeles, CA | 115,000 | 145,000 | 185,000 |
| Washington, DC | 110,000 | 140,000 | 180,000 |
| Denver, CO | 105,000 | 135,000 | 170,000 |
| Miami, FL | 100,000 | 130,000 | 160,000 |
| Phoenix, AZ | 95,000 | 125,000 | 155,000 |
| Dallas, TX | 100,000 | 130,000 | 165,000 |
| Houston, TX | 101,000 | 131,000 | 170,000 |
These salary ranges are based on various industry reports and surveys and are intended to give a general idea of what a Data Architect might expect to earn in these cities.
You Might Also Be Interested In Our Comprehensive SQL Courses
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- Microsoft SQL Database Administration : Optimize Your SQL Server Skills
- Microsoft Server – SQL Data Analysis
- Microsoft SQL – SQL Big Data
- SSAS : Microsoft SQL Server Analysis Services
Key Term Knowledge Base: Key Terms Related to Microsoft SQL Server 2019 Database Design
Understanding the key terms related to Microsoft SQL Server 2019 Database Design is crucial for anyone looking to work with or deepen their knowledge in this area. This technology is integral to managing and organizing large amounts of data efficiently. Knowing these terms not only aids in grasping the course material but also equips you with the language needed to communicate effectively in the field of database design and management.
| Term | Definition |
|---|---|
| SQL Server | A relational database management system developed by Microsoft, designed to handle a wide range of data processing applications. |
| Database Design | The process of defining the structure, storage, and retrieval of data in a database. |
| Tables | The basic storage unit in SQL Server where data is stored in rows and columns. |
| Data Types | The attributes that define the kind of data that can be stored in a table column, such as integers, text, dates, etc. |
| Schemas | Structures that help organize database objects like tables, procedures, and views, often used for managing permissions. |
| Data Integrity | Ensuring data is accurate and consistent throughout its lifecycle in the database. |
| Indexes | Database objects that improve the speed of data retrieval operations on a database table. |
| Clustered Index | A type of index where the row data is stored in the order of the index keys. |
| Nonclustered Index | An index structure separate from the data rows, allowing more indexes per table. |
| Stored Procedures | A set of SQL statements saved in the database that perform a specific task. |
| User-Defined Functions | Functions created by users that can be used in SQL statements. |
| Triggers | A special kind of stored procedure that automatically executes in response to certain events on a particular table or view. |
| BLOB (Binary Large Object) | A large binary data type used to store images, documents, audio, etc., in the database. |
| FILESTREAM | A SQL Server feature used to store and manage unstructured data (like BLOBs) more efficiently. |
| Full-Text Search | A feature that allows efficient and effective search operations on text-based data in SQL databases. |
| Azure SQL Database | A fully managed relational cloud database service provided by Microsoft Azure. |
| OLTP (Online Transaction Processing) | A class of systems that facilitate and manage transaction-oriented applications. |
| OLAP (Online Analytical Processing) | A category of software that allows users to analyze information from multiple database systems at the same time. |
| T-SQL (Transact-SQL) | An extension of SQL used in Microsoft SQL Server. |
| Data Domain Integrity | Constraints that enforce valid entries for a given column by restricting the type, format, or range of possible values. |
| Entity Integrity | Ensuring each row in a table is uniquely identifiable. |
| Referential Integrity | A system of rules that ensure relationships between tables remain consistent. |
| Heaps | A table without a clustered index. |
| Composite Indexes | Indexes that are based on more than one column of a table. |
| SQL Server Management Studio (SSMS) | An integrated environment for managing SQL Infrastructure. |
| Normalization | The process of organizing data to minimize redundancy. |
| Denormalization | The process of attempting to optimize the read performance of a database by adding redundant data. |
| Primary Key | A column, or a set of columns, that uniquely identifies each row in a table. |
| Foreign Key | A field (or fields) in one table, that uniquely identifies a row of another table. |
| Query | A request for data or information from a database table or combination of tables. |
| Relational Database | A database structured to recognize relations among stored items of information. |
| SQL (Structured Query Language) | A standard language for storing, manipulating, and retrieving data in databases. |
| Data Warehouse | A system used for reporting and data analysis, and is considered a core component of business intelligence. |
| ETL (Extract, Transform, Load) | A process in database usage and especially in data warehousing that involves extracting data from outside sources, transforming it to fit operational needs, and loading it into the end target. |
| Data Mining | The process of discovering patterns in large data sets. |
| Backup | The process of creating a copy of data on a database to safeguard against loss. |
| Replication | A set of technologies for copying and distributing data and database objects from one database to another and then synchronizing between databases to maintain consistency. |
| Partitioning | The database process where very large tables are divided into multiple smaller, more manageable pieces, yet still being treated as a single table. |
| ACID (Atomicity, Consistency, Isolation, Durability) | A set of properties that guarantee database transactions are processed reliably. |
| Data Model | An abstract model that organizes data elements and standardizes how they relate to one another and to the properties of real-world entities. |
| Transaction | A sequence of database operations that are treated as a single unit. |
| Cursor | A database object that allows retrieval of data from a result set one row at a time. |
| View | A virtual table based on the result-set of an SQL statement. |
| Locking | A mechanism used by databases to control access to data by transactions. |
| Database Schema | The structure of a database system, described in a formal language. |
| SQL Injection | A code injection technique used to attack data-driven applications. |
| Database Administrator (DBA) | A person responsible for the installation, configuration, upgrade, administration, monitoring, and maintenance of databases in an organization. |
| Data Lake | A storage repository that holds a vast amount of raw data in its native format until it is needed. |
| Microsoft SQL Server Analysis Services (SSAS) | An online analytical processing and data mining tool in Microsoft SQL Server. |
| Microsoft SQL Server Integration Services (SSIS) | A platform for building enterprise-level data integration and data transformations solutions. |
| Microsoft SQL Server Reporting Services (SSRS) | A server-based report generating software system from Microsoft. |
Frequently Asked Questions About Microsoft SQL Server Database Design
What are the new features in SQL Server 2019 for database design?
SQL Server 2019 introduces several enhancements in database design, including Big Data Clusters for SQL Server, which allow for large-scale data and AI-driven analytics, improved performance for SQL Server on Linux, and enhancements in the areas of security, performance, and availability. Additionally, it includes features like Intelligent Query Processing and Accelerated Database Recovery to improve efficiency and reduce downtime.
How does Server 2019 support high availability in database design?
Server 2019 includes several high availability features such as Always On Availability Groups, which offer enhanced failover capabilities. This version of SQL Server also supports enhanced disaster recovery, automatic page repair, and secondary replicas for reporting and backup, ensuring that databases remain available and resilient against various types of failures.
What are the best practices for database security in SQL Server 2019?
Key practices include implementing Transparent Data Encryption (TDE) to encrypt data at rest, using Row-Level Security to control access to rows in a database table based on the user executing a query, and employing Always Encrypted technology to protect sensitive data. Additionally, it’s important to regularly update and patch SQL Server, manage permissions and roles effectively, and use auditing and monitoring tools to track access and changes to the database.
How does SQL Server 2019 improve performance for database design?
SQL Server 2019 introduces Intelligent Query Processing, which enhances the performance of workloads with minimal implementation effort. Features like Batch Mode on Rowstore, Scalar UDF Inlining, and Table Variable Deferred Compilation help to optimize query processing. Additionally, the use of In-Memory OLTP and Columnstore indexes can significantly boost performance for specific types of workloads.
Can SQL Server 2019 integrate with other Microsoft products for enhanced database design and functionality?
Yes, SQL Server 2019 offers seamless integration with other Microsoft products and services. It integrates well with Azure services for hybrid database solutions, allowing users to leverage Azure SQL Database features. Integration with Microsoft Power BI provides advanced data analytics and visualization capabilities. Additionally, SQL Server 2019 can work in conjunction with Microsoft SharePoint and Dynamics for enhanced data management and business processes.
Proudly DisplayYour Achievement
Upon completion of your training, you’ll receive a personalized certificate of completion to help validate to others your new skills.
Course Outline
SQL Server 2019 Database Design Course Content
Module 1 - Designing and Building Tables
1.1 Course Introduction
1.2 Module 1 Introduction
1.3 Introduction to Database Design
1.4 Creating Tables
1.5 Data Types
1.6 Schemas
1.7 Altering Tables
Module 2 - Enforcing Data Integrity
2.1 Module 2 Introduction
2.2 Introduction to Data Integrity
2.3 Data Domain Integrity
2.4 Implementing Data Domain Integrity
2.5 Implementing Entity and Referential Integrity
Module 3 - Indexing
3.1 Module 3 Introduction
3.2 Core Indexing Concepts
3.3 Heaps, Clustered, and Nonclustered Indexes
3.4 Data Types and Indexes
3.5 Single Column and Composite Indexes
Module 4 - Stored Procedures, Functions, and Triggers
4.1 Module 4 Introduction
4.2 Introduction to Database Programming
4.3 Creating Stored Procedures
4.4 Creating User-Defined Functions
4.5 Creating Triggers
Module 5 - Blob and Filestream Data
5.1 Module 5 Introduction
5.2 Introduction to Binary Data
5.3 Considerations for BLOB data
5.4 FILESTREAM Example
5.5 File Table Example
Module 6 - Full-Text Search
6.1 Module 6 Introduction
6.2 Introduction to Full-Text Search
6.3 Full-Text Catalogs
6.4 Full-Text Indexes
6.5 Full-Text Queries
Module 7 - Azure vs On-Prem
7.1 Module 7 Introduction
7.2 SQL Server on Azure VM
7.3 Azure Managed SQL Instance
7.4 Azure SQL Database
7.5 Course Wrap Up
Your Training Instructor
James is a full-stack developer with over 40 years of experience. He has developed applications across all major industries and for Fortune 100 companies as well as local small businesses. James has also been teaching technology courses for over 20 years. In addition to his extensive background in technology, he has also worked as a professional opera singer.
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Microsoft SQL Database Design
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Smooth delivery and easy access to LMS. Good to see that the LMS offers progress tracking. Would be great if badges were offered on completion of courses to share via Credly to future employers.