Data science is a relatively new topic in terms of enterprise IT and analytics. Traditionally, researchers and analysts belonged broadly to one of two categories:
- Highly technical researchers who used complex computing languages and/or hardware for their professional tasks
- Analysts who could use tools such as Excel and BI platforms in order to perform both simple and complex data analysis
Organizations started looking into Big Data and, more generally, data science platforms in the late 2000s. It had gained immense momentum by 2013, when solutions such as Hadoop and NoSQL platforms were released. The following table shows the developments in data science:
Year | Developments |
1970s to late 1990s | Widespread use of relational database management systems. Entity relationship model, structured query language (SQL), and other developments eventually led to a rapid expansion of databases in the late 90s. |
Early 2000s | The anti-climatic, yet expensive, non-event of Y2K, coupled... |
