Introduction to Cassandra
Cassandra is an open source database application from Apache, which doesn’t require SQL to fetch, view, update, delete the database or the data. Hence it is known as a NoSQL type of a database application. This database can be accessed and administered from various nodes both remotely and directly. It is popular for its exclusive features like higher performance, flexible for expansion and scalability, lower user latency, peer to peer architecture, no-schema for structuring, very less effort and cost is required for maintenance, faster processing, easy to learn & work on it, uncomplicated process for data copying, etc.
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:
- 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
All the advantages as discussed in the above section are self-explanatory to withstand for why to use Cassandra.
Scope for Using Cassandra
As stated earlier, in modern digitization everyone is expecting speed, zero tolerance, high availability peer-to-peer communicating database. It 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 solutions 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?
It is for everyone. Anyone who is interested to learn the 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 requirements.
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 basic concept, working, skills, scope along with advantages and career growth of Cassandra. You can also go through our other suggested articles to learn more –