After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
Course Description
A good database design is crucial for a high-performance application. Just like you wouldn't start building a house without the benefit of a blueprint, you need to think about how your data will be stored beforehand. Taking the time to design a database saves time and frustration later on, and a well-designed database ensures ease of access and retrieval of information. While choosing a design, a lot of considerations have to be accounted for. In this course, you'll learn how to process, store, and organize data in an efficient way. You'll see how to structure data through normalization and present your data with views. Finally, you'll learn how to manage your database and all of this will be done on a variety of datasets from book sales, car rentals, to music reviews.The videos contain live transcripts you can reveal by clicking "Show transcript" at the bottom left of the videos.
The course glossary can be found on the right in the resources section.
To obtain CPE credits you need to complete the course and reach a score of 70% on the qualified assessment. You can navigate to the assessment by clicking on the CPE credits callout on the right.
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Start Course for FreeWhat you'll learn
- Define core database processing approaches, including OLTP and OLAP, and implement each in appropriate operational or analytical scenarios
- Differentiate normalized and denormalized schema designs by identifying first through third normal forms, star versus snowflake schemas, and their impacts on read and write performance
- Distinguish between structured, semi-structured, and unstructured data storage options such as traditional relational databases, data warehouses, and data lakes
- Evaluate database management strategies to satisfy scalability, consistency, and governance requirements
- Implement database views and materialized views to optimize security, usability, and refresh latency
Prerequisites
Curriculum
Course outline
1
Processing, Storing, and Organizing Data
Start your journey into database design by learning about the two approaches to data processing, OLTP and OLAP. In this first chapter, you'll also get familiar with the different forms data can be stored in and learn the basics of data modeling.
2
Database Schemas and Normalization
In this chapter, you will take your data modeling skills to the next level. You'll learn to implement star and snowflake schemas, recognize the importance of normalization and see how to normalize databases to different extents.
3
Database Views
Get ready to work with views! In this chapter, you will learn how to create and query views. On top of that, you'll master more advanced capabilities to manage them and end by identifying the difference between materialized and non-materialized views.
4
Database Management
This final chapter ends with some database management-related topics. You will learn how to grant database access based on user roles, how to partition tables into smaller pieces, what to keep in mind when integrating data, and which DBMS fits your business needs best.
S
Database Design
Course
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