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In today’s advanced technological civilisation, an organisation is overwhelmed with large volumes of information, also known as big data. What is needed then is big data analytics to make this data meaningful and usable. It incorporates modern techniques used for the assessment, comprehension, and interpretation of trends and patterns in big data sets. There are 4 primary types of big data analytics: static, dynamic, prognostic and normative. Each type offers distinct insights that address particular business requirements. Let's examine these kinds in more detail and consider how they might be used in practical situations. Types of Big Data Analytics Descriptive Analysis The goal of descriptive analytics is to provide an explanation for the cause of an event. In order to present a comprehensive picture of trends and patterns, it entails summarising historical data. Dashboards, reports, and visualisations are frequently used to illustrate this kind of information, which aids organis...