In recent years, few terms have generated more buzz in the tech scene than big data and data analytics. From advancing particle physics to stocking grocery store shelves, the use cases for collecting and analyzing potentially huge amounts of data cut across industries and interests. However, there are many challenges standing in the way of realizing the potentials of big data. Data by itself is not inherently valuable and, in order to realize the value of big data, that data needs to be organized, conditioned, processed, and analyzed in order to provide insights that drive informed decisions.
Google's mission statement is to organize the world's information and make it universally accessible and useful, so it's no surprise that Google has been a major innovator in the arena of big data. With a well-established track record...
