Big data implementation in Tesla using classification with rapid miner

In this study, we will analyze how big data is implemented in TESLA Company, in this case, we will use sales data. With the growth of big data and the need for its use in companies, nowadays big data is everywhere. TESLA is an American automobile and energy storage company founded by engineers Martin Eberhard and Marc Tarpenning in July ۲۰۰۳ under the name Tesla Motors. The company name is a tribute to inventor and electrical engineer Nikola Tesla. Eberhard said that he wanted to build an automobile manufacturer and also a technology company whose core technology is batteries, computer software and proprietary electric motors. As the amount of data that companies must process today continues to increase, companies must keep up with the times by using big data. Big data can be used to move, contain, and access large amounts of unstructured and disparate data in a timely manner. it is good. The method we use is quantitative data. This calculation will use the Rapid Miner software. The result of this study is the data is ۲,۱۴۶ units, total volume from ۱۱۸,۵۰۰ to ۴۷,۰۶۵,۰۰۰ based on the number of existing sales, and classification results are from ۲۶۲۱۳۰۰ to ۱۸۷۶۶۳۰۰.