One of the biggest players in the IT field is Big Data Analytics. Everywhere we turn, we see data generated and the onus is now to collect and store this data. The competitive edge provided by Big Data is enormous so it is no wonder that Hadoop is climbing up the ladder of success. Hadoop is an open source big data framework developed in 2006 by Doug Cutting. Hadoop can handle and store huge volumes of data with ease.
Hadoop is indispensable for all manner of IT professionals. It has become a must-know technology because of the impact of Big Data. Here are some professionals who will find Hadoop useful:
- Analytics professionals
- Business Intelligence professionals
- Aspiring data scientists
- Students learning Big Data
- Software developers
- Data Management professionals
- Project Managers
- Graduates wanting a career in Big Data Analytics
To study Hadoop, it is vital to have a knowledge of Java. Also, it helps if you have knowledge of any of these languages – PHP, C++, C, .NET, PERL, Python, and so on.
Extra skills needed
Besides the above, you need to have some more skills. You will also need to be proficient with the hadoop interview questions to get the competitive edge in interviews. To become proficient in Big Data Analytics, one must have the following technical skills:
- Hadoop or similar Big Data technology.
- Database management and SQL.
- Statistical tools like Excel and SAS.
- Relational databases and data modelling.
- Programming and scripting languages like Python and Java.
We also need visualization skills and business skills. For visualization and presentation, Google Visualization API, Powerpoint, MS Paint, Tableau, and so on will help. You will need knowledge of your business domain where you work along with knowledge of business needs and facing and analyzing business risks.
Need to Learn Big Data
Most people who have been on the internet for some time will have come across sites that use Hadoop. Read that as Facebook, Twitter, eBay, Yelp, Salesforce, and Etsy among many others. Anyone wants to analyze terabytes of data uses Hadoop. This is why there is a huge demand for Big Data and Hadoop developers. In fact, there is a shortage of good developers. Doing a course in Big Data and Hadoop will improve the prospects of your success. A study says that the US will face a shortage of 195,000 data scientists along with 1.4 million managers by 2018.
Salary Trends in the Data Analysis Field
Big Data is a booming trend in India as more startups realize its importance and are beginning to use it. The salary for data analysts has also risen. According to a survey report from Australia, the median salary for data analysts has become $131,000 representing a 4% year-on-year increase. Study of the situation in the UK also shows an upward trend. The salary in 2016 was £62,600 compared to £54,000 for the same period in 2015.
The only thing is to make sure that you have enough command over Core Java before you begin your career. If one wants to work on SQL, they can do HIVE that is like SQL. HIVE is a processing tool developed by Facebook.