Shulou(Shulou.com)06/01 Report--

This article mainly introduces "what is the employment direction of big data". In the daily operation, I believe many people have doubts about the employment direction of big data. The editor consulted all kinds of materials and sorted out simple and easy-to-use methods of operation. I hope it will be helpful for you to answer the doubts about "what is the employment direction of big data?" Next, please follow the editor to study!

Big data employment direction 1, data storage and management

Big data starts from data storage. This means starting with big data frame Hadoop. It is an open source software framework developed by Apache Foundation and is used to distribute and store very large data sets on computer clusters.

Obviously, storage is crucial to the large amount of information big data needs. But more importantly, there needs to be a way to centralize all this data into some kind of formation / management structure to generate insight. Therefore, big data storage and management is the real foundation, and without such an analysis platform is not feasible. In some cases, these solutions include employee training.

Big data employment direction II. Data cleaning

Before enterprises can really process large amounts of data to gain insight, they need to clean it up, transform it, and turn it into remotely searchable content. Big data is often unstructured and unorganized, so some kind of cleaning or transformation is needed.

In this day and age, data cleaning becomes more necessary because data can come from anywhere: the mobile web, the Internet of things, social media. Not all of this data is easy to "clean up" to generate insights, so a good data cleaning tool can change all differences. In fact, in the next few years, effectively cleaned data will be seen as a competitive advantage between an acceptable big data system and a really good data system.

Big data Employment Direction III. Data Mining

Once the data is cleaned and ready for inspection, you can start the search process through data mining. This is the process of actual discovery, decision-making and prediction.

Data mining is the real core of big data's process in many ways. Data mining solutions are usually very complex, but trying to provide a compelling and user-friendly user interface is easier said than done. Another challenge for data mining tools is that they do require staff to develop queries, so data mining tools are no better than the professionals who use them.

Big data employment direction IV. Data visualization

Data visualization is the way that the data of an enterprise is displayed in a readable format. This is a way for enterprises to view charts and graphs and put data into perspectives.

The visualization of data, like science, is an art form. Big data will have more and more data scientists and senior managers, and it is important to provide a wider range of visualization services for employees. Every member of the team, such as sales representatives, IT support, middle management, and so on, needs to understand it, so the focus is on usability. However, easy-to-read visualization is sometimes inconsistent with the reading of deep feature sets, which has become a major challenge for data visualization tools.

At this point, the study on "what is the direction of big data's employment" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.