Apache Cassandra Certification Online Training

Important advantages of using Cassandra:

• Helps solve complicated tasks with ease
• Has a short learning curve
• Lowers admin overhead and costs for a DevOps engineer
• Rapid writing and lightning-fast reading
• Extreme resilience and fault tolerance

This is what we mean by the benefits above.

Cassandra helps solve complicated tasks with ease

• Event logging, metrics collection, performing queries against the historical data — all of these tasks can seem dull, yet they are of utmost importance both for Big Data and
• DevOps workflows. Configuring the centralized storage for logs can be quite a daunting task, given the variety of the data and a plentitude of its sources, which we mentioned above.
• Building a centralized storage for logs and metrics and retrieving historical information from this storage is a task Cassandra deals with utmost ease.
• Once the table structure is chosen and designed, the database works like a charm, easily scaling at your demand.

Cassandra has a short learning curve

• Cassandra operates CQL — Cassandra Query Language. It is basically SQL, but stripped of the more advanced features. While this is a downside of sorts, this is also a huge advantage, as the tool is really able to perform exceptionally well using quite a limited list of variables, commands and functions.
• Due to this simplicity a Big Data Engineer can master Cassandra in around 30 days, thus obviously shortening the time to market drastically for your product.

Cassandra lowers admin overhead and costs DevOps engineer

• As we described earlier, event logging, metrics collection and working with historical data are the obvious uses for Cassandra.
• However, as your team is able to use the tool the fullest extent (and this time will come quite soon, mind you) — they will definitely find much more tasks that can be delegated to Cassandra and performed excellently.
• Low admin costs make this tool incredibly useful, as your team is able to concentrate more on their core tasks like improving the product and its features, instead of constant firefighting like deciphering the logs and dealing with the issues.

Cassandra offers rapid writing and lightning-fast reading

• As this database was developed for Facebook, where millions of reads and writes happen at each given second, it provides incredible levels of performance.
• What is even more important, these values are linear and scale nearly effortlessly.
• This means after measuring the read/write performance values on one server, you can simply calculate how many more servers you should add to the cluster to reach the required performance levels, and scale easily.
• In addition, slicing over partition rows (done with so-called partition keys) ensures lightning-fast response to queries.

Cassandra provides extreme resilience and fault tolerance

• As Cassandra is a masterless cluster, there is no Single Point of Failure.
• The data hashes are being constantly replicated throughout the cluster to ensure 100% service uptime regardless of the temporary unavailability of up to 1/2 of the servers.
• This is especially useful when performing rolling updates or some maintenance on the clusters.
• Regardless if the server, the full server rack or the whole data center goes out of connection, your customers will not face the service downtime.
• Your app will always be out there, just like Facebook and Netflix.