Course details
Big Data Technologies The technology of tomorrow.
Big data technology is revolutionizing the computing power of massive amount of data. Empower yourself with this technology that ignites growth for an organisation.
Why Big Data is important?
Every day, we create Exabytes of data so much that 90% of data in the world today has been created in the last two years alone. With a growth of 60%… + Read More
Course details
Big Data Technologies The technology of tomorrow.
Big data technology is revolutionizing the computing power of massive amount of data. Empower yourself with this technology that ignites growth for an organisation.
Why Big Data is important?
Every day, we create Exabytes of data so much that 90% of data in the world today has been created in the last two years alone. With a growth of 60% structured and unstructured data that are so voluminous and complex that traditional data processing application software are inadequate to deal with them. Thus big data technology has a promising future that will leverage the three Vs of big data - volume, variety and velocity or the frequency at which data is generated and captured and augment the values of data for an organization.
Why Big Data is so important?
Twitter Since 2013, the number of posts increased 25% to more than 350,000 tweets per minute.
YouTube usage has more than tripled in the lasttwo years with user uploading 400 hours of newvideo each minute of every day.
Instagram users like 2.5 million posts every minute!
GoogleAround 4 million Google searches are conducted worldwide each minute of everyday.
Finally, data send and received by mobile internet users 1500 000TB.
So, with the above examples of how much data gets generated, now how much hidden insightsand patterns for accurate future predictions that we can actually achieve by using data science.
According to Forbes, annual demand for Big Data jobsfor United States itself will increase by 300 million by 2020.
The average salary for a Data Scientist is $101,842.
What are the career progression path for Big Data professionals?
Entry Level(0-1 yrs exp): Junior Data Analyst , Research Analyst, Business analyst, Data Engineer.
Mid Level(3-5 yrs exp): Mid-Level Business Analyst, Research Analyst; Senior Data Analytics Manager Data Scientist, Analytics Consultant, Data Analyst, Data Miner, Predictive modeling Analyst;
Advance( 8 yrs+): Senior Manager-Analytics, Data Management Director, Vice President-Analytics, Principal Analytics Consultant, Senior Predictive modelling Analyst.
What you'll learn? This course features on:
Leading Edge Technologies: Learn and master Big Data analytics in world's leading Apache Hadoop ecosystem.
Big Data Automation: Learn to automate the work flow of structured & unstructured as well as streaming data.
Real World Case Studies: Get hands-on experience on how to solve problems with real world big data sets.
Updated on 11 March, 2020 - Read Less