دانلود کتاب روش های تجزیه و تحلیل داده های بزرگ

Data is the fingerprint of creation. And Analytics is the new “Queen of Sciences.” There is hardly any human activity, business decision, strategy or physical entity that does not either produce data or involve data analytics to inform it. Data analytics has become core to our endeavors from business to medicine, research, management, product development, to all facets of life. From a business perspective, data is now viewed as the new gold. And data analytics, the machinery that mines, molds and mints it. Data analytics is a set of computer-enabled analytics methods, processes and discipline of extracting and transforming raw data into meaningful insight, new discovery and knowledge that helps make more effective decisions. Another definition describes it as the discipline of extracting and analyzing data to deliver new insight about the past performance, current operations and prediction of future events. Data analytics is gaining significant prominence not just for improving business outcomes or operational processes; it certainly is the new tool to improve quality, reduce costs and improve customer satisfaction. But, it’s fast becoming a necessity for operational, administrative and even legal reasons. We can trace the first use of data analytics to the early 1850s, to a celebrated English social reformer, statistician and founder of modern nursing, Florence Nightingale.1 She has gained prominence for her bravery and caring during the Crimean War, tending to wounded soldiers. But her contributions to statistics and use of statistics to improve healthcare were just as impressive. She was the first to use statistical methods and reasoning to prove better hygiene reduces wound infections and consequently soldier fatalities. At some point during the Crimean War, her advocacy for better hygiene reduced the number of fatalities due to infections by 10X. She was a prodigy who helped popularize graphical representation of statistical data and is attributed to have invented a form of pie-chart that we now call polar area diagram. She is attributed with saying: “To understand God’s thoughts we must study statistics, for these are the measure of his purpose.” Florence Nightingale is arguably the first data scientist in history. Data analytics has come a long way since then and is now gaining popularity thanks to eruption of five new technologies called SMAC: social media, mobility, analytics, and cloud computing. You might add another to the acronym for sensors, and the internet of things (IoT). Each of these technologies is significant in how they transform the business and the amount of data that they generate.