What are the employment directions of big data? After seeing the employment prospects and employment salary of big data, I believe that many people are eager to try big data technology and want to learn big data technology. Xiao Bian believes that before learning big data, you also need to know what are the employment directions of big data? After all, we study big data for future employment. After mastering the employment direction of big data, we can also clarify our learning goals!
Big data employment direction 1. Data storage and management
Big data all starts with data storage. This means starting with the big data framework Hadoop. It is an open source software framework developed by the Apache Foundation for distributed storage of very large datasets on computer clusters.
Clearly, storage is critical for the vast amounts of information required for big data. But more importantly, there needs to be a way to bring all this data together into some kind of formation/management structure to generate insights. Therefore, big data storage and management is the real foundation, and without such an analytics platform it will not work. In some cases, these solutions include employee training.
Big data employment direction 2. Data cleaning
Before businesses can truly process large amounts of data for insights, it needs to be cleaned, transformed, and turned into something remotely retrievable. Big data tends to be unstructured and unorganized, so some kind of cleaning or transformation is required.
In this day and age, data cleansing becomes even more necessary because data can come from anywhere: mobile web, IoT, social media. Not all of this data can be easily "cleaned" to yield its insights, so a good data cleaning tool can make all the difference. In fact, for years to come, effectively cleansed data is seen as a competitive advantage between an acceptable big data system and a really great data system.
Big data employment direction 3. Data mining
Once the data is cleaned and ready for inspection, the search process can begin with data mining. This is the process by which businesses make actual discoveries, decisions, and predictions.
Data mining is in many ways the real core of the big data process. Data mining solutions are often very complex, but striving to provide an attention-grabbing and user-friendly user interface is easier said than done. Another challenge with data mining tools is that they do require humans to develop queries, so a data mining tool is no more capable than the professionals who use it.
Big data employment direction 4. Data visualization
Data visualization is the way an enterprise's data is displayed in a readable format. This is how businesses view charts and graphs and put data into perspectives.
Visualizing data, like science, is an art form. While big data companies will have more and more data scientists and senior managers, it is important to provide employees with a wider range of visualization services. Every member of these teams from sales reps, IT support, middle management, etc. needs to understand it, so the focus is on usability. However, easy-to-read visualizations are sometimes inconsistent with the reading of deep feature sets, which becomes a major challenge for data visualization tools.
In fact, in addition to the above four, there are many more employment directions for big data. For us to learn big data technology, we can accurately grasp one direction. If you are just getting started with big data with zero foundation, the editor recommends starting with big data development and storage. Learn, and then go deeper! Of course, if you want to learn big data or need materials and videos, you can also contact the editor.