Technological requirements of big data

 Technological requirements of big data   

Big data technologies can be categorized into four main types:

data storage - Big data technology that deals with data storage has the capability to fetch, store, and manage big data. It is made up of infrastructure that allows users to store the data so that it is convenient to access.

data mining - Data mining extracts the useful patterns and trends from the raw data. Big data technologies such as Rapid miner and Presto can turn unstructured and structured data into usable information. 

data analytics - In big data analytics , technologies are used to clean and transform data into information that can be used to drive business decisions. This next step (after data mining) is where users perform algorithms, models.

data visualization - data technologies can be used to create stunning visualizations from the data. In data-oriented roles, data visualization is a skill that is beneficial for presenting recommendations to stakeholders for business profitability and operations to tell an impact story with a simple graph. 

Each of these is associated with certain tools, and you'll want to choose the right tool for your needs depending on the type of big data technology required.