Securing raw data for big data modeling
One of the big advantages of the public cloud is the huge capacity that these platforms offer. Together with the increasing popularity of public clouds, the industry saw another major development in the possibilities to gather and analyze vast amounts of data, without the need to build an infrastructure themselves in on-premises data centers to host the data. With public clouds, companies can have enormous data lakes at their disposal. Data analysts program their analytical models to these data lakes. This is what is referred to as big data. Big data modeling is about four Vs:
- Volume: The quantity of data
- Variety: The different types of data
- Veracity: The quality of data
- Velocity: The speed of processing data
Data analysts often add a fifth V to these four, and that's value. Big data gets value when data is analyzed and processed in such a way that it actually means something. The four-V model is shown in...
