Introduction to Microsoft SQL Server Databases
Learn how to build a simple SQL Server database to collect and analyze your data in this Microsoft SQL server training
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What You'll Learn in This Course
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Learning Outcome 1
Discussion of database concepts - definition of a database management system, logical and physical data models, structured query language.
Learning Outcome 2
Building a sample data model - start with a list of business entities and attributes, normalize the data, define key attributes.
Learning Outcome 3
Overview of SQL Server product suite.
Learning Outcome 4
Creating a database - data and transaction log files, file groups.
Learning Outcome 5
Implementing a physical model: creating tables - defining column data types, null-ability, and constraints.
Skills You'll Develop
This comprehensive Introduction to Microsoft SQL Server Databases curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Course Requirements & Target Audience
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
Prerequisites & Requirements
What you need before starting this Introduction to Microsoft SQL Server Databases course:
- No specific prerequisites required
- Just bring your enthusiasm to learn!
Beginner-Friendly Course!
This course is designed for absolute beginners. No prior knowledge needed.
Who This Course Is For
This course is perfect for:
- Motivated learners at any level
- Self-paced students
- Anyone interested in the subject
This course might not be suitable if:
- • You're looking for a quick tutorial rather than comprehensive learning
- • You prefer learning without structured curriculum
- • You need highly specialized or niche content
Course Information & Details
Everything you need to know about this online course, from duration to certification
Course Instructor
Baya Dewald
Expert instructor with industry experience
Course Language
English
All materials in English
Start Your Learning Journey Today
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
Course Enrollment
Budget-Friendly Course
Typically around $44.99
Pricing may vary. Check the course provider for current promotions and exact pricing.
What's Included
- 1.5 hours on-demand video
- Access on mobile and TV
- Certificate of Completion
- Full lifetime access
Affiliate disclosure: course links are affiliate links; an enrolment through one may pay Getting Digital a commission from the provider, at no extra cost to the learner, and it does not influence how courses are described.
- ✓Instant access after enrollment
- ✓Learn at your own pace
- ✓Direct enrollment with Udemy
Where this course fits
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Concepts behind this area
Business Intelligence (BI)
Business intelligence is the practice and the tooling for turning an organisation's data into reports and dashboards that people use to run it: connecting to the sources, modelling the data into measures everyone agrees on, and presenting it so that a manager sees the state of the business without asking an analyst.
Data Governance
Data governance is the set of decisions and responsibilities an organisation puts in place over its data: who owns each dataset, what each field means, who may read or change it, how long it is kept and how its quality is measured, recorded so that the answers do not depend on who is asked.
Data Quality
Data quality is the degree to which a dataset is fit for the purpose it is used for, assessed along named dimensions, whether the records are complete, unique, consistent, timely, valid and accurate, and measured against the requirements of the decision the data supports rather than against an absolute standard.
The field, explained: Data & Analytics
Wider context: all fields, the glossary and certification exams.
Last updated 26 September 2026 · Getting Digital
