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  • 1

    Processing, Storing, and Organizing Data

    Free

    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.

Initializing

Exercise

Which is better?

The city of Chicago receives many 311 service requests throughout the day. 311 service requests are non-urgent community requests, ranging from graffiti removal to street light outages. Chicago maintains a data repository of all these services organized by type of requests. In this exercise, Potholes has been loaded as an example of a table in this repository. It contains pothole reports made by Chicago residents from the past week.

Explore the dataset. What data processing approach is this larger repository most likely using?

Instructions

50 XP

Possible answers