In today’s information rich world, the data component of software projects is increasing in importance. As a result, more and more business analyst job descriptions are including data modeling skills as requirements.
Here are 10 articles to help you get started with data modeling. These are perfect if you want to brush up on data modeling or get fresh ideas to improve your business analyst work.
(By the way, if you are looking to learn more about data modeling, be sure to check out our Free Data Modeling Training.)
But onto the articles!
- How to Data Model Without Getting Too Technical (or the what and the how)
- How Data Modeling Fits Into the Business Analysis Process
- When it Works to Create a Data Map and a Data Dictionary at the Same Time
- What Software Tools Business Analysts Use for Data Modeling
- 6 Things You Can Do When Your Data Dictionary Gets Messy
- You Are Not a Magician (Or Maybe You Are)
- How to Blend a Data Dictionary with Use Cases, Wireframes, and Workflow Diagrams
- The Difference Between Data Analysis and Data Modeling
- 3 Reasons to Data Model (Even if You Can Design Databases)
- How to Approach the Data Migration for a COTS (or Saas) Project
If you already know something about data modeling, take a look as you might find some fresh ideas.
And here are articles describing four of the core data modeling techniques that we cover in our in-depth course – Data Modeling for Business Analysts – because they can help you solve tricky project challenges:
- Glossary – for clarifying terminology and simplifying data modeling.
- Entity Relationship Diagram – to visualize relationships between key concepts.
- Data Dictionary – to communicate data requirements in a well-organized way.
- Data Mapping – to resolve data issues for data migration or integration projects.
>>Learn EVEN MORE About Data Modeling
Learn the essential Data Modeling Techniques (even if you don’t know how to code) with this free training.