The world and relationships change at an extraordinary speed. The way we deal with different subjects is totally different from what it was a few years ago. When it comes to technology, these changes occur almost instantly.
A term that has gained the area in recent years is “Big Data”. This word in information technology (IT) defines data sets that need to be processed and stored.
The Big Data concept started with the 3 Vs
- Velocity: Speed addresses one of the great challenges of Big Data. Due to the large volume and variety of data, all processing must be agile to generate the necessary information. It is necessary to generate information as quickly as possible for effective decision making.
- Capacity: The volume of data generated every second is increasing, the internet does not stop and this V refers to exactly that amount of data that the Big Data read.
- Variety: The more data and sources you have, the greater the complexity of working with the data, but the greater the possibilities of generating useful information. That is why the variety of data is so important. This variety of data comes from data sources like Google Analytics, RD Station, Facebook and apps like Whatsapp.
After a few years 2 more Vs emerged:
- Veracity: Veracity is directly linked to how true information is. The tangle of data can confuse us, so every care is too little to obtain the veracity of the data.
- Value: The last V is the value. If you have directed efforts to generate information that is of no use, the value of the work done will be close to zero, so we need to understand very well the context and need to generate the right information for the right people. That's why we talk so much about “useful information”.
But more objectively, what is Big Data?
It is possible to define Big Data as an extremely large data set that, for this reason, need special tools that support the volume of data that is found and transformed into information that enables a wide and timely analysis. In summary, we can say that they are techniques capable of analyzing large amounts of data to generate important results that, in smaller volumes, would hardly be possible.
When it comes to the job market, Big Data is still recent, but it offers areas of expertise classified into:
- Administrator:
Responsible for making environments and tools work. To work in this area the professional needs to have knowledge of operating systems, mainly in Linux, hardware architecture and networks, in order to guarantee better performance of the tools.
- Developer:
Develops data capture, transformation and loading processes. In addition to developing new routines and processes related to business needs. Requires knowledge of programming and the tools used in the processes.
- Data Analyst:
Meets the demands of the company's business or planning areas. It is more linked to the business areas. It requires knowledge of the query tools and access to data, such as notions of statistics.
What are the benefits of this technology?
To begin with, several creations were only possible thanks to Big Data and data crossing. At the same time, with the use of this technology you can analyze data, both from your company and from competitors.
Take ownership of the tools and knowledge that this new era has brought and leverage your brand.
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