While making a career or technology change, most people in industry jump to hadoop.But you have to be smart here.We have analysed a lot of trending technologies in the market today and compared demand vs supply.We have also analysed ease of learning, number of actual openings in market and career growth.Believe me, you have a lot of options technically.So do some research before blindly jumping.Instead of choosing only big data, you can go for big data analytics, hadoop+spark, data science and many more.There are a lot of high quality big data analytics training institutes and online courses. We recommend you enroll there based on your career goals.Reach out to us if you are confused about your career options.
The amount of digital data that exists is growing at a rapid rate.In fact, more than 2.7 zettabytes of data exist in today’s digital universe and that is projected to grow to 180 zettabytes in 2025.
Proper insights into all these data can help organizations improve their business. That’s why more organizations are seeking professionals who can make sense of all the data.
In this article, we’ll discuss what data science, big data, and data analytics are, recommended skills for each, and potential salaries.
What exactly is big data analytics
You have heard about data analytics, big data and data science.So what exactly is big data analytics ? Well don’t be confused about the nomenclature. Everything is interrelated and they solve each ones problems.You need data analytics to provide a meaning to the data extracted from hadoop/spark.
Big data analytics applications enable data scientists, predictive modelers, statisticians and other analytics professionals to analyze growing volumes of structured transaction data.Also other forms of data that are often left untapped by conventional business intelligence (BI) and analytics programs. That encompasses a mix of semi-structured and unstructured data.For example, internet clickstream data, web server logs, social media content, text from customer emails and survey responses.
On a broad scale, data analytics technologies and techniques provide a means of analyzing data sets and drawing conclusions about them to help organizations make informed business decisions. BI queries answer basic questions about business operations and performance. Big data analytics is a form of advanced analytics, which involves complex applications with elements such as predictive models, statistical algorithms and what-if analyses.
How to master it:
- Overview of Big Data, HDFS, Hadoop, and Map Reduce
- Data Warehousing using PIG and HIVE
- Data Extraction Tool and Cloudera Distributions
- Introduction to Analytics
- Intergrating R and Hadoop
The learning step is not fixed, you can learn as many technology you can in this area.For a deeper understanding on which course to choose, which training institute to join, use our search tool search and compare best courses and institutes in analytics
Demand of Big data analytics:
According to the IDC forecast, the Big Data market is predicted to be worth $46.34 billion by 2018. IDC also predicts that the Big Data technology and the associated services market is expected to grow at at 23.1% over the period of 2014-2019 with annual spending reaching $48.6 billion in 2019. Hadoop which has become almost synonymous with Big Data is predicted to grow at 58.2% CAGR between 2013 and 2020.
The above graph provides percentage of demand in all major cities in India.
There are a lot of training institutes and online courses available to master these technologies and switch to a new career track.If you still need any help regarding this, reach out to us.We have helped hundreds of professionals switch their technology.All for free.
