Introduction to Cassandra
Cassandra or more precisely Apache Cassandra is a free and open-source NoSQL database that is used both for storing and retrieving data as well as to handle a large amount of data spread across remotely commodity servers. We will discuss in deep about Cassandra and Commodity servers in a bit while. In today’s fast and rapid moving world everything is running at the speed of light and major credit for this goes to digitization. With digitization and the internet, things are becoming more and more digital. Hence the requirement for storing and retrieving data, remote computation are also cropping up. To facilitate all this particularly storing and retrieving data, usually we use the database and one such database is Cassandra. So let’s discuss in deep about Database Cassandra.
Before digging a bit more deeper about it and understanding about it, we would like to stretch a bit for explaining a term Commodity Servers which in turn will be further.
So what is Commodity Servers?
Well in simple words a Commodity Server is already available computing nodes or components for parallel computing. These Commodity Servers generally involves in Commodity computing many also know it as commodity cluster computing.
How does Cassandra make working so easy?
Working on this is quite easy because of various reasons:
- Easy to understand
- Ease of using
- Big and better community
- Good documentation
All these things highly contribute towards popularity and likeness of any software and Cassandra has all this bunch of qualities to rightly upvote for easiness of working
What can you do with Cassandra?
Well to answer this, let’s understand a typical requirement of a large scale enterprise towards a database management system. Listing there general requirement majorly suffice on:
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- High availability without compromising performance
- Linear scalability
- Proven fault-tolerance on commodity
- Low latency for users
A complete solution for all listed requirements is Cassandra. We can do and achieve all these things easily using Cassandra as our database management system
- Ease of data replication – It could easily replicate data deployed on any particular node if it has gone down, when available
- Distribution of data – This could be used to store and locate data at various nodes which has its great advantage
- Peer to peer architecture – It does not follow a typical master-slave concept but follows peer-to-peer architecture where each and every node participates equally with equal responsibilities. As a consequence of this, there is no single point of failure
- High availability – Since there is no single point of failure, hence it is highly available around
- High Performance – It has to be very reliable by a big organization which generally deal on large scale data
- Schema-less concept – Schema-less concept means that schema could be made internally as per our requirement
Since we already now know about this, I’m sure you are now keen to know the skills required for this.
Typically skills required could be broadly categorized in two ways:
- Tech skills requirement
- Conceptual skills required
Few of the major but drastically important tech skills required to be a good Cassandra developer is:
- Concept of database
- Knowledge of NoSQL database
- Good to know about Java or any OOP’s language
On the conceptual front, you need to know about:
- Consistency levels – Generally Cassandra stores data or typically copies of data at various remote location hence any change in data at particular node needs to be updated and reflected at all nodes
- Good sound knowledge of algorithms
- Know how data is written to memory and disk, here speed matters a lot
Why should we use Cassandra?
All the advantages as discussed in the above section are self-explanatory to withstand for why to use Cassandra.
As stated earlier, in modern digitization everyone is expecting speed, zero tolerance, high availability peer-to-peer communicating database.
Cassandra is fulfilling all these requirements, hence its scope ahead is quite high with hardly any subsequent competitor NoSQL database. Hence learning Cassandra is quite beneficial
Why do we need Cassandra?
We typically need Cassandra for the following reasons:
- Provides instant and simple solution for the complex problem – It provides a simple and efficient solution to complex things like logging and metrics collection. It provides a simple, sleek and elegant feature for centralized logging.
- Low maintenance overhead – Cassandra databases could run almost independently hence reducing maintenance dependency
- Low cost of maintenance – Since it hardly requires any maintenance, hence it cost automatically boils down
- Easy to learn – Typically it takes less time to learn Cassandra and be ready for production level. Also, it has a large number of developers for community support and well-versed documentation which further ease learning curves
- Fast read and write a feature – Reading and writing on disks using Cassandra is quite fast and feasible
Who is the right audience for learning Cassandra technologies?
Cassandra is for everyone. Anyone who is interested to learn NoSQL database is welcome to learn this smart technology. People involved in database designing, people involved in handling big data, database designers, developers are open to learning this technology
How this technology will help you in career growth?
This technology is growing rapidly and is in demand quite high. Even big organizations are coming forward to use and deploy this technology for their business requirement.
Hence learning this relatively new technology will be a great boost for everyone involved in some of the other ways. Also, its increasing demand and large scale scalability are causing it getting more and more demand
Learn this new and fascinating technology as it has quite a good scope ahead. Its ease of scalability, rising demand, zero tolerance against database failure, remotely distribution of data across various nodes, a peer-to-peer concept will take this technology more ahead
Also, ease of reading and writing on disk which quite fast provides additional advantages over others
This has been a guide to What is Cassandra. Here we discussed the Definition, working, skills, scope, career growth, and advantages of Cassandra. You can also go through our other suggested articles to learn more –