In today’s world, we keep encountering the term, “big data”. It has become an umbrella term for large data sets consisting of semi structured, structured and unstructured data and not only includes large quantities of it but what is done with like predictive data analysis, behavioural analysis and other advanced data analysis features.
The term has been around since the turn of the millennium, and has come to be defined by the 3 V’s:
With such exponential quantities of data that is being generated every second, traditional data analysing tools are incapable of handling and requires advanced technologies, thus, big data training has gained utmost importance.
Importance of Big Data
Big data has gained a lot of momentum in the last three decades and is now a multi-billion dollar industry estimated to grow at 100 billion US dollar. Top companies like Oracle, IBM, Microsoft, HP, Dell, to name a few are using big data analysis.
Big data analytics are being used for:
- Cost and time reduction
- New product development and calculating risk failures
- Determining root cause failures and fraudulent behaviours.
- It also helps in utilising data from external sources
- Improved customer services and operational benefits
Thus, it is an excellent option to obtain a big data training and benefit from the new market boom.
Commercial viability of big data training
The usage of big data analytics is not only limited to the IT sector. Every industry generates huge amount of data and its analysis is required to keep the competition at bay. Some industries where big data is being used are:
- Manufacturing industry
- Health care
These are the top few industries but there are many others, so if you get big data training then there will be no dearth of jobs. If you get an additional degree in big data, then your starting salary will be more than your peers. The average salary of big data analysts is around 6-8 lakhs per annum and at managerial level it is above 15 lakhs per annum.
Big data tools
When opting for big data training, make sure you are taught the following tools:
- Hadoop- it is the primary tool for big data analysis.
- Tableau – used for data visualisation and in business intelligence
- Spark- also one of the popular tools used by organisations
- Hive- it is equally important
- Other tools include SQL, Lumify, MongoDB and others.
You can learn one or several of these tools. Then again this is a limited list. There are other tools too which you can look at. You can delve further into the languages usually used for data analytics and advanced analytics like R, SAS or Python. There are indeed a lot of opportunities for big data professionals. Knowledge along with experience gives you a lot of power. Keep learning and the opportunities will get bigger. Get your excellent big data training done, join the Analytics work force.