Big Data Analytics deals with the intelligence and methods used to process massive amounts of data. Big data analytics, therefore, is the methods, processes, and procedures used to derive business insights from big data sets.
The techniques and processes used to derive statistical insights on customer behaviour through this are very different when compared to data analysis for small data sets.
Who can apply for a certificate in big data analytics?
This field is most suited for those talented in mathematics and analysis. If you have a natural talent for numbers, and reasoning, big data analytics can be the ‘Holy grail’ for you.
You can find employment by registering for a course in big data with a reputed institution. A data scientist with a certificate in big data analytics is currently highly sought after in the IT job market.
Given the stats and demand for big-data analysts, consider obtaining a certificate in big-data analytics from a reputed institution. This certificate can give you an edge over other competitors in this field when applying for data job roles.
What is the difference between data analytics and big data analytics?
The main difference between data analytics and big data analytics is the proportions of the data under study.
Consider a small business with just 100 registered customers. The data module the small business will provide for data analysis will be the information inputted and shared by the 100 registered customers.
In the same way, transfer this understanding to the example of a big corporation with over ten thousand customers. A large corporation offers more services than a small business does. Hence the customer database would also be massive.
The data collected from the inputs of these customers will exceed the amount of data the small business considers for data analysis. The data collected from large corporations are of immeasurable proportions and hence are classified as big data.
Using traditional data analysis methods to understand and derive business insights from this large-scale data is not prescribed!
You can liken this to signing a million copies of a rental certificate by hand!
Hence the large corporation is automatically drafted into the big data analytics group. Whereas small business only needs a data analyst with standard data mining and analysis procedures to derive business insights.
Google and Amazon.com are examples of businesses that deal in Big Data.
Why study big data analytics?
Today, large companies receive and collect mammoth amounts of data. This information is hard to sort and filter and can be troublesome to store over time.
Given the rapid rate at which the world is turning digital, the demand for Data Scientists and Big data analysts will undoubtedly rise. The IT industry desperately needs talented minds to aid in processing large amounts of data for business insights and intelligence.
IBM predicted in 2020 that 370,000 plus data-centric jobs would surface in 2021. This number has almost doubled in the present day. Data-centric jobs like data scientists and analysts are now sought-after roles in the IT sector.