The last decade saw the massive growth of big data. During that time, all the technologies did not change but there have been a lot of transformations. Cloud analytics, uses a range of analytical tools to help companies extract information from a massive amount of data and present it in a form that is readily available via web browser, has become popular among the companies with the emerging new data sources. With the need to store and process big data, a whole constellation of open source software such as Hadoop emerged, which is used to store and do a basic processing on big data and is also cheaper than a data warehouse for similar volumes of data. Scripting languages like Hive, Pig, and Python along with many open source tools like Spark are gaining much popularity. Read more at: https://hbr.org/2017/06/how-analytics-has-changed-in-the-last-10-years-and-how-its-stayed-the-same