Big Data Now Quotes

“The ability to take data — to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it — that’s going to be a hugely important skill in the next decades.”
― O'Reilly Radar Team, Big Data Now: Current Perspectives from O'Reilly Radar

“The key innovation of MapReduce is the ability to take a query over a data set, divide it, and run it in parallel over many nodes. This distribution solves the issue of data too large to fit onto a single machine.”
― O'Reilly Radar Team, Big Data Now: Current Perspectives from O'Reilly Radar

“The ability to take data -- to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it -- that’s going to be a hugely important skill in the next decades.”
― O'Reilly Radar Team, Big Data Now: Current Perspectives from O'Reilly Radar

“The future belongs to the companies who figure out how to collect and use data successfully. Google, Amazon, Facebook, and LinkedIn have all tapped into their datastreams and made that the core of their success.”
― O'Reilly Radar Team, Big Data Now: Current Perspectives from O'Reilly Radar

“the best data scientists tend to be “hard scientists,” particularly physicists, rather than computer science majors. Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. They have to think about the big picture, the big problem.”
― O'Reilly Radar Team, Big Data Now: Current Perspectives from O'Reilly Radar

“Making data tell its story isn’t just a matter of presenting results; it involves making connections, then going back to other data sources to verify them.”
― O'Reilly Radar Team, Big Data Now: Current Perspectives from O'Reilly Radar