Glossary of Big Data Terms - 【2020】
big data glossary

Glossary of Big Data Terms

Big Data and HR

It is the analysis of people and their sharing within the processes of a company. With this data we can measure how many times someone has been missing, their performance, if they already deserve a better position, etc. It is also known as personnel analysis, workforce analysis or simply HR analysis. This term is part of the Big Data analytical solutions.

Data Mining

This refers to the extraction of multiple data of all kinds, but always in mass. If we are talking about collecting a lot of information or making recoveries of it then we are talking about Big Data Mining.

Data Modeling

Big data modeling is a very complete discipline. As we saw in large data in RH is the study of large amounts of data to apply them in the processes of medium and large companies. Countless logical processes related to each other are needed to make it functional and applicable.

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Big data analytics platform

A big data analytics platform is one designed by specialists in information capture and that serves to improve the performance of organizations. It also allows us to digitally measure security, capacity, availability, adaptability and many factors that involve large companies. All this in real time gives us absolute control to make quick and accurate decisions.

SAP Big data services or SAP Cloud Platform

This platform is installed via the Hadoop cloud and ready to go once configured. Operators relate directly to the big data services through the Workbench. A graphical programming using ABAP language. SAP is used by mostly large companies and has several blocks of information, which are designed for certain areas in particular. Each area of the company has access to its own blocks and only qualified people can make changes to the platform. An error could cause some processes to be severely modified.

Unstructured Data

The unstructured data in big data are those that we cannot see reflected within a vertical-horizontal system, that is; in cells and columns. Imagine trying to analyze an excel sheet with audio or video? That is exactly what we are talking about. Although these data can be structured with other platforms and through other means, in large data they are still considered unstructured.

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Structured Data

Structured data in Big Data terms are those that thanks to their scheme are highly identifiable. We refer to dates, statistics, quantities, words, etc. All of them can be inserted in a vertical-horizontal scheme and we can access them by having the password of our database. In short; the most common data.

Big Data CRM

It is mainly based on the integration of a lot of information within the CRM processes, and what are these?
The CRM process is how companies track opportunities for their customers. This helps to create a trusting relationship with various clients and to find potential ones.
A CRM is vital in medium to large companies as it also helps measure customer behavior, improve service and calculate return on investment.

Big Data Governance

It is the global management that involves the easy access to enough data, as well as the security of the same, the efficient handling and its integrity.
This data management includes procedures and plans to execute actions.

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Data Integration

Big data integration is the analysis and compiling of a lot of information from sources such as: social media, web pages and a lot of data from the internet of things.

It also includes the analysis and combination of many data obtained from various businesses and processes that are very useful. Imagine being able to know the data and statistics of the niches in which you intend to compete by means of a reliable platform in seconds.

Enterprise Data

Imagine a transnational company that has to verify or share data from other parts of the world? With big data enterprise you can do it across departments and even by geographical areas.

It arises from the enormous management of data that by traditional means would be impossible to verify. Web search companies were the cause of its existence.

Big Data Visualization

With data visualization we use newer techniques to know how each data relates to others. We can look at data with different applications, going from the already traditional bar charts or pie charts.

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It is also much easier to see how things happen today by visualizing not just numbers or text.

It helps us to understand very easily data that otherwise would be very difficult to assimilate with clear and defined messages.

Big Data Business Analytics

Business analytics is the collection of a large amount of information that helps companies find market trends, the behavior and tastes of potential customers, patterns and many more variables.

With this analysis you can understand many things inside and outside an organization, possible failures and problems that make it possible to make decisions to always be at the forefront of improving processes.

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