An IoT data analytics overview

Traditional data analytics or Business Intelligence (BI) solutions have been available for decades now. They follow the standard and well-known data analytics or data mining process that starts with data extraction from source systems. This is followed by the data transformation process and then loading data into purpose-fit data analytics stores, such as SQL-based data warehouses or a relational database. This process is usually called Extract, Transform, and Load (ETL).

Traditional data analytics is different from modern or advanced data analytics; in traditional data analytics, a business analyst or business owner starts by already having data from different data sources. Then, they will ask the question, OK I have all the data – what kind of information will I get out of such raw data? Then, they ask the question, Now that I have the information from the raw data, what kind of business insights will I get out of such valuable information...