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Big Data is so far the most interesting topic so far in Data Analytics. But it is indeed quite disappointing that book lovers who are also science enthusiasts don't get to know more about Data Science and Big Data. So here we got for the book-techies some amazing books to read on Big Data for this weekend.
Here goes:
In this book, well-known technology expert and award-winning author, Phil Simon provides a deep insight into the world of Big Data analytics. Big Data refers to the massive amounts and varied sources of information that we are exposed to on a daily basis. Big Data is only going to intensify in the coming years and its impact on business is impossible to ignore. This book explains why Big Data is such a big deal along with invaluable advice for people and organizations aspiring to understand and leverage Big Data. Replete with several examples, case studies, and analysis, Too Big to Ignore is an essential read for entrepreneurs, chief executives, industry leaders, and business professionals.
Less than 0.5 percent of all data is currently analyzed and used. However, business leaders and managers cannot afford to be unconcerned or skeptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data, and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage.
Packed with case studies and real-world examples, advice on how to build data competencies in an organization, and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.
When the term "big data" first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind.
Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact, etc.
Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilize it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media, and retail, to sports teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organized for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved, and the processes put in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.
This is a perfect book for beginners. It answers all your questions about; A conundrum called "big data"; how to understand big data better; what can big data do for you? understanding the analytics (and the importance); the obstacles and importance of the big data situation we're in; a closer look at key big data challenges; generating business value through data mining, etc.
Big Data is a term used for massive mounds of structured, semi-structured, and unstructured data that has the potential to be mined for information. The real power lies not just in having colossal data but in what insights can be drawn from this data to facilitate better and faster decisions. This book Big Data and Analytics is comprehensive coverage of the concepts and practice of Big Data, Hadoop, and Analytics. From the Do It Yourself steps and guidelines to set up a Hadoop Cluster to the deeper understanding of concepts and ample time-tested hands-on practice exercises on the concepts learned, this ONE book has it all!
In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the rather than the why. We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real-time, and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machining, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit? In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.
Without giving any spoilers, we here have recommended you the top Big Data books you must read this weekend.
