There are lots of data-storage options available today. You have to choose between managed or unmanaged, relational or NoSQL, write- or read-optimized, proprietary or open-source — and it doesn’t end there.
Once you begin your search, you will end up in the universe that is database marketing. All of the vendors will tell you why their database is fantastic.
Unfortunately, it’s difficult to find out when not to use a specific database, because this is not an attractive selling point.
If you know what questions to ask, you will eventually understand all the essential properties of a given system. In the end, your choice will depend on your expertise and your requirements.
In this tutorial I will introduce you to Apache Cassandra, a distributed, horizontally scalable, open-source database. Or as Cassandra users like to describe Cassandra: “It’s a database that puts you in the driver seat.”
I will share the essential gotchas and provide references to documentation. I’ll also provide insights based on my experience of running Cassandra on a large scale at work, with executable examples wherever possible.
Here’s an overview of everything you’ll learn:
Along the way, you will learn to ask fundamental questions that will help you to chose a database that suits your needs. You’ll also learn about other popular databases like Spanner, Cockroach, or FaunaDB, and how they can serve different use-cases.
Table of Contents
- How to Set Up a Cassandra Cluster
- Cassandra Architecture
- Data Modeling
- Running a Cluster
- Other Learnings
- Conclusion
- References
#apache #cassandra #database #nosql #sql
