In this session, our industry expert discussed some case studies on big data. You also understood why traditional systems are incapable of managing big data. Lastly, you got an idea of the various job roles relevant to the big data domain. Here is a quick summary of the different topics covered in this session:
- Big data industry case studies: The case studies discussed in this module are car digitisation and sentiment analysis.
- The other Vs of big data: The other Vs of big data are variability, validity, and volatility. You also learnt the difference between veracity and validity. Veracity refers to the trustworthiness of the data, whereas validity refers to the accuracy of the data.
- Conventional data-processing systems and big data: Traditional systems lack the capability to handle large volumes of diverse (variety), high-speed (velocity) data.
- Various job roles in big data: Finally, you got an idea of the various job roles in the big data domain. There are three broad categories of roles in big data. They are consultants, architects, and analysts. You also understood the roles and responsibilities of a big data engineer.
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