Learning Apache Cassandra is an extremely powerful addition to your resume if you’d like to work as a distributed computing professional.
Since the Cassandra database is free and requires a relatively cheap infrastructure to run, you’ll get to spend most of your time and resources on learning Cassandra and mastering this NoSQL database platform so that you can use it more efficiently.
If you are a software project manager I think introducing Cassandra into your workflow is a great way to invest in your developers and DevOps teams members.
The most effective way to learn Cassandra is to take the best Apache Cassandra courses online that teach the fundamentals of distributed databases and how to apply Lambda Architecture.
In this article, I have reviewed the best Apache Cassandra courses and certifications online to get you started learning this database.
By the end, you’ll be ready to build incredibly cost-effective applications that are ready to grow at scale.
1. Getting Started With Apache Cassandra | Udemy
In this Apache Cassandra training course online, you’ll learn the basics of working with the Apache Cassandra database.
This is the best Cassnadra course online if you are an absolute beginner, meaning you have no previous experience with Cassandra. However, it would be better if you had at least some experience with databases, SQL, and programming in general.
First off, you’ll start by learning how to install Cassandra, and then move onto understanding ways to communicate with Cassandra. From there, this course will teach you how to create a database, create a table, and insert and model data.
These Cassandra video tutorials will also cover creating an application, updating and deleting data, selecting hardware, and adding nodes to a cluster. You will also learn how to monitor a cluster, repair and remove nodes, and redefine a cluster.
Finally, you’ll have a solid understanding of Cassandra, able to use Cassandra for your own development projects.
2. From 0 to 1: The Cassandra Distributed Database | Udemy
Would you like some practical Cassandra tricks?
This Cassandra tutorial is taught by a team of Stanford-educated, ex-Googlers and two other ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing.
So if your data has gotten huge, unwieldy and hard to manage with a traditional database, or your data is quickly becoming unstructured with an expanding list of attributes, you’ll learn the very skills that will put you in control of your data.
Through this course on Udemy, you’ll learn how to set up a cluster with multiple nodes to distribute data across machines. Keep in mind that Cassandra uses partitioning and replication to ensure that your data is available even when nodes in a cluster go down.
You’ll then finish it off with a hands-on real world practice project where you get to build a miniature catalog management system using the Cassandra Java driver.
3. Cassandra for Developers | PluralSight
Cassandra is a highly scalable, high-performance distributed database.
This Cassandra course on PluralSight is designed to familiarize you with Cassandra’s resilient, distributed architecture while equipping you with a thorough understanding of the Cassandra Query Language (CQL).
You’ll kick off the course by learning a little bit about the history of Cassandra and how to use Docker to stand-up a Cassandra cluster. First, you will discover replication strategies and Cassandra’s support for “tunable consistency.”
Next, you’ll proceed to an introduction to CQL along with tables, keyspaces, and common data types. Here, you will explore primary keys and how they can be made up of both partition keys as well as clustering keys.
Finally, you will look at secondary indexes, batches, and lightweight transactions. When you are finished with this course, you will have the skills and knowledge of storing time series data in Cassandra, such as sets, lists, maps, tuples, and user defined types.
4. Applying the Lambda Architecture with Spark, Kafka, and Cassandra | PluralSight
This course introduces how to build robust, scalable, real-time big data systems using a variety of Apache Spark’s APIs, including the Streaming, DataFrame, SQL, and DataSources APIs, integrated with Apache Kafka, HDFS and Apache Cassandra.
I’d recommend this course if you want to get beyond all the hype in the big data world and focus on what really works for building robust, highly-scalable batch and real-time systems.
It is one of the best Cassandra courses online for learning how to apply the Lambda Architecture with Spark, Kafka, and Cassandra.
By taking this training online, you’ll learn how to string together different technologies that fit well and have been designed by some of the companies that are leading the way in the design of data processing frameworks, like Apache Spark.
When you’re finished with this course, you’ll be ready to hit the ground running with these technologies to build better data systems than before.
5. Apache Cassandra in 2 hours | Udemy
This Apache Cassandra training course will teach you how to effectively work with Cassandra for your data intensive applications.
It is even better for you if you are a complete beginner because the instructor of this course does not assume any previous experience working with Cassandra.
You’ll start off this course by covering what Cassandra really is, how to install Cassandra, then proceed to dissect the Cassandra data model with some hands-on exercises which will teach you how to create a keyspace, create a table, insert and read the data.
There are also lessons that help you demystify the partition key and clustering key, so that you can understand how data is distributed across the nodes in a cluster.
At the end of this Cassandra training, you’ll have a solid understanding of Cassandra, able to use Cassandra for your own personal or workplace development projects.
