Data Preprocessing

Data processing is the collection, filtering, sorting, analyzing, and presenting of raw data into usable information. It is important for organizations as it helps in creating better business strategies, increasing competitive edge, and enabling employees to understand and use the data for decision-making.

Data can be processed automatically or manually, and it can be converted into different forms, including graphic and audio ones, depending on the software and processing methods used.

Data is acquired from sources such as Excel files, databases, text file data, and unorganized data like audio clips, images, GPRS, and video clips.

<p>Some commonly used tools for data processing are Storm, Hadoop, HPCC, Statwing, Qubole, and CouchDB.</p> Signup and view all the answers

<p>Raw data processing is considered a key step in the data mining process because it involves the collection and transformation of raw data into usable information, which is essential for extracting meaningful insights and patterns from the data.</p> Signup and view all the answers