Data Mining Techniques: Types of Data, Methods, Applications
Companies are now collecting data at an alarming rate. There are many sources for this huge data stream. This data stream could be derived from credit card transactions, publicly accessible customer data, data from financial institutions, data from banks, and data users provide to download and use an app on their desktops, laptops, and mobile phones. It's not easy to store large amounts of data. This is why many relational database servers have been continuously developed. To store this information in different databases servers, online transactional protocols or OLTP systems have also been developed. OLTP systems are vital for businesses to function efficiently. These systems are responsible for storing data from even the smallest transactions in the database. OLTP systems store data related to purchase, sale, and other transactions. Top executives now need to have access to data that supports their decisions. Online analytical processing, or OLAP systems, is a great way to get t...