Career opportunities for Professionals in Cassandra


Did you know that the companies are realizing the fact that they can extract valuable business intelligence in order to improve decision-making & gain a competitive edge? Yes, and the tools that are making all of this possible are- Hadoop and Cassandra. These days because of it, NoSQL skills at all levels are utterly in demand.

What is Cassandra and What Sorts of Career Opportunities are there for Professionals in Cassandra? Usually this question would be popping out in your mind, right? Before we answer this question, let’s find out what actually Cassandra is.

Cassandra developed as an in-house project at Facebook to simplify as well as power their search feature, is an open-source distribution database management system. This open-source distributed database management system was launched as an open-source project on Google Code in 2008. Later, it became a top-level project at Apache Software Foundation.

Cassandra- The Next Big Thing

It has been designed to handle a very large amount of data across numerous commodity servers ensuring high accessibility and offering no Single Point of Failure (SPOF).

It also offers powerful support for clusters spanning numerous data centers. There is no presence of “Master-slave structure”, like traditional architectures, which allows for zero impact on the system in case a specific node fails or goes down.

Like most of NoSQL DBMS, it can also handle structured and unstructured data and perform absolutely well.

It can serve as both real-time data store for online & transactional applications as well as a read-intensive database for the business intelligence system.

Hadoop Vs Cassandra- What’s the Catch?

In order to unify workload, availability and simpler deployment of bigger data, it’s really advantageous to consider these two options. Hadoop is cost-effective that delivers methods for analyzing and processing big data. Being capable of decision making from the result of Hive, MapReduce, Pig, Mahout and other features is what matters a lot to organizations.

Advantages of Cassandra & Hadoop Combination

Did you know Cassandra can also be implemented with Hadoop on the same cluster? Yes, and it means that you can make most out of these two.

Time-based as well as real-time running under its applications, remember here real-time is the ultimate strength of Cassandra, while batch-based analytics & queries, which do not need a timestamp can run efficiently on Hadoop. In such a setting, HDFS is substituted by Cassandra & this is not visible to the developer. You can reassign with dynamism, nodes between the Hadoop and Cassandra ecosystems as is suitable.

Cassandra File System takes out even the single point of failure that is connected with HDFS, preferably NameMode & Job Tracker points of failure, which are connected with HDFS.

Here the idea is to combine Cassandra that initiates itself at high-volume real-time transaction processing in the company of Hadoop that shines at other batch-oriented analytical solutions.

Cassandra and the Big Players

Many big players across the industry verticals are adopting Cassandra to attain different business objectives. Some of the biggest players are- Netflix that uses Cassandra as its back-end datable that manages their streaming devices, Cisco’s WebEx which uses this system to store user feed & activity in near real time and SoundCloud that makes most out of this solution to store the dashboard of their users whereas IBM has done research in creating a scalable email system which is based on Cassandra.

Types of Roles Professionals can achieve with Hadoop & Cassandra

According to a research, professionals well-versed in Cassandra are highly in demand. Due to high adoption rate in the industry, this solution is going to be the best career option for professionals. Those done a degree in it can find their future quite promising.

Take a look at below list of roles, professionals can acquire with Cassandra familiarity:

  • Data Scientist: They collect data, evaluate it, present the data visually, and use it to make predictions. A data scientist draws out an average salary of about 104,000 dollars.
  • Data Architect: This position garners an average salary of 107,000 dollars. Data architects are important to have some know-how in creating data warehousing, data models, analyzing data, as well as data migration.
  • Systems Engineer: A system engineer can earn an average salary of about 89,000 dollars.
  • Software Application developer: They make an average salary of around 107,000 dollars and application developers 93,000 dollars.
  • DBA: They make an average of more than 100,000 dollars.

Now you can see how Cassandra is proving to be beneficial yet smart career option for professionals. So, update yourself with this latest solution and get ready to draw out more salary!



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