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

The world is entering the age of abundance, abundance of data. And with this, the age of intelligence is on its way. According to Eric Scht, the author of the original article, in today’s world, science and critical thinking really matter a lot. People are becoming wary of changes looking at the rate at which technological advancement is taking place. With the massive increase in data in almost every field, the need for artificial intelligence and machine learning is being felt in a broad range of sectors including farming, energy, fashion and healthcare. Read more at: https://www.theguardian.com/small-business-network/2017/jun/22/alphabets-eric-schmidt-google-artificial-intelligence-viva-technology-mckinsey