Database Architecture, Scale, and NoSQL with Elasticsearch

Explore and use SQL, NoSQL, and ACID and BASE style architectures

In this final installment of the University of Michigan series on PostgreSQL and Python programming language, you’ll not only learn more about this SQL but will also get to explore a NoSQL database management system.

Over the three weeks of the course, you’ll learn to use Elasticsearch (a common NoSQL database), and examine Elasticsearch as an example of a BASE (basic availability soft-state consistency) database approach.

You’ll also look at the differences between SQL and NoSQL data management systems, and between ACID (atomicity consistency isolation durability) and BASE database styles. Ultimately, you’ll be equipped to work with any database architecture.

Understand the differences in database architecture

You’ll move beyond seeing how PostgreSQL implements CRUD operations in Python programming language, and will analyse and compare the differences, pros and cons of SQL and NoSQL.

As you explore Elasticsearch in more detail, you’ll also see how it can supplement a relational database management system (RDBMS) like PostgreSQL and be used to facilitate high-speed searches and indexing.

Compare ACID and BASE styles

The biggest distinction between ACID and BASE styles is that ACID architecture provides more system consistency, while BASE architecture delivers higher availability.

On this course you’ll learn how this and other differences are built into the structures of these models, and how to evaluate whether an ACID or BASE system is right for specific situations.

Let seasoned experts help you take your programming career further

The University of Michigan will support you at every stage of your learning journey. With exceptional academic support and experienced educators, you can trust that this course will help you take your programming career to new heights.