In 2022, companies increased their hiring of specialized personnel in Big data Above 30 percent, here at the cloud Group we'll briefly explain what this perhaps still poorly understood term means and what skills or competencies are required:
When we talk about Big Data, we are referring to data sets or combinations of data sets whose size (volume), complexity (variability), and growth rate make it difficult to capture, manage, process, or analyze them using conventional technologies and tools, such as relational databases and conventional statistics or visualization packages, within the time required for them to be useful.
The concept of Big Data gained momentum in the early 2000s when industry analyst Doug Laney articulated the current definition of big data as the three Vs: Volume, Velocity, and Variety.
Given this, companies increasingly require professionals dedicated to information analysis, in sectors ranging from banking to health, commerce and even the automotive industry.
Currently, it is one of the most in-demand positions, and here at The Cloud Group we'll tell you about the skills the market is asking for if you're studying in the technology field or, of course, improving your skills.
1. Problem-solving approach: Problem-solving is a skill that cannot be negotiated or avoided in Big Data due to the creativity that the professional must intrinsically possess, and this is why it is one of the most sought-after profiles; as we see, it is not all about simple knowledge, attitude and values are also sought after.
2. Data Mining: Having experience in data mining opens doors, as companies have a high demand for positions that include knowledge of tools such as KNIME, WEKA, RapidMiner and many others that complement the profile of the required data scientist.
3. Programming languagesPerhaps this is one of the areas with the highest demand in all companies, not just in the big data But this applies not only to the entire industry, but also to the entire sector, as companies are highly competitive for programmers with expertise in data analysis. If you know Python or R, along with other skills such as object-oriented programming, basic syntax, and flow control statements, you're likely one step closer to landing the job.
4.SQL: Basically one of the most important for a data scientist, useful both for managing and storing data, as well as relating several databases as Amazon does when recommending products, and creating or changing database structures completely.
5. ApacheOne of the most common tools in the world of Big Data, therefore, it is essential and vital to have a great knowledge about it, as it serves to plan and monitor multitasking applications to process the required data, being used by large brands such as Netflix, Ebay, Coca Cola and many more that prefer it for its speed and ease of use.
The above is preferably supported by a university degree in big data or computer engineering, systems, mathematics or related fields; if you don't have one, start studying now because it usually lasts 4 years; if you already have it, a university master's degree would be great of course.
In The Cloud Group We offer services of Big data And we are committed to providing your company with solutions that promote its growth and continuous improvement. If you are interested, you can contact us for more information.
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