Big Data

2017 Career Insights

90% of the worlds data has been created in the last two years. Big Data is one of the biggest trends in IT and will continue to be in 2017. Statistics show that the Big Data sector has grown six times the rate of the IT industry in the last few years. Forecasts show Big Data will make up 1/3rd of the global IT market by 2021. A major gap between the demand for Big Data professionals and lack of qualified candidates continues to widen. Nearly every industry is hopping on the Big Data train and the range of roles is growing every day.  

TOP BIG DATA ROLES IN 2017

  • Predictive Analytics
  • Data Visualization
  • Data Scientist
  • Machine Learning
  • Artificial Intelligence
  • Business Intelligence
  • Statistician
  • Consulting
  • Business/Data Analyst

 

HOW TO GET INTO BIG DATA

Due to the lack of Big Data skill sets in the US, the path to Big Data is easier than most. Most organizations require a Bachelor’s degree in a quantitative area such as Mathematics or Computer Science. For more experienced roles, Master’s Degree or PhD may be required.

 

TOP CERTIFICATIONS FOR BIG DATA IN 2017

  1. MCSE: Business Intelligence OR MCSE: Data Management and Analytics
    • $165 per exam
  2. CCP Data Scientist: Cloudera Certified Professional Data Scientist
    • $600 per exam (two exams)
  3. Mongo DB NoSQL Certification
    • $150 per exam
  4. Oracle Business Intelligence Certification
    • $245 per exam
  5. SAS Certified Data Scientist
    • $180 per exam

*For some of the above certifications, training involved has a hefty cost.

 

COMPENSATION

Big Data professionals enjoy very high salaries compared to other professions in IT. Average salary for a profession in Big Data is 115,000 – 30% higher than other IT professions at comparable experience levels. Data Scientists enjoy a 6.4% increase in salary from 2016 – ranging from $116,000 to $163,500. Big Data Engineers enjoy a 5.8% increase in salary from 2016 – ranging from $135,000 to $196,000. For more on this, Click Here. Entry level salaries are above average in Big Data as well. Professionals with PhDs can drive salaries above $200K.