Big Data Books 2016 by @alfredosahagun for @3ngllishOnline

Best Big Data Books of 2016 What´s the best way to get a head start and stay on top of your game than to be better informed. Reading has been one best activity for us to learn (and be informed), as well as traveling and meeting directly other cultures. Some of us have even learnt more books than any other activity. Books on Data Science and Big Data Analytics are now many and more every day. They are ideal to first begin exploring, and some more technical to deepen your knowledge on this topic. From these must are shallow and illustrative but don´t go in-depth. They sell the motivation to get into it but don´t make the knowledge fully available. These upcoming books are either the most recent ones or the most highly recognized books that will give you the extra info you need to win in Big Data. If we look for the word “Big Data” in the Amazon books we will find up to 18.200 different titles. Just in 2016 we already have up to 417 titles being currently sold on the Amazon. I will first attempt to make a summarized list of the newest arrivals on Big Data on this first article. And on the continued second article I will list the most famous, important and relevant of all big data books. Let´s have a look at the most recent 2016 published books with high ratings: Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results Hardcover by Bernard Marr May, 2016 The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. 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 sport 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 it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers. Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more. Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking. Develop your own big data strategy by accessing additional reading materials at the end of each chapter • Big Data Appliances for In-Memory Computing: A Real-World Research Guide for Corporations to Tame and Wrangle by Dr. Ganapathi Pulipaka and Jodie Bentley. Feb, 2016 This book is a scientific expedition to research and explore the enterprise-grade big data appliances with blended OLTP and OLAP capabilities. Enterprise database systems with the aid of big data analytics create an intelligent ecosystem by taming and wrangling the data coming from extreme-disparate sources of structured and unstructured channels with massive parallelization techniques to discover, visualize, predict, and action the patterns and trends of mashups of big data. The book delves deeper into the research results of industry relevant case studies with the disruption of in-memory computing platform innovation that diffuses high-speed computing and dynamic performance for business applications and explores how these modern big data analytics tools shape the future of aerospace, automotive, consumer goods and beverages, healthcare, government services, high tech, and public sector industries. • Small Data: The Tiny Clues That Uncover Huge Trends by Martin Lindstrom Mar, 2016 Watch out for this one since it´s got the"Most Important Books of 2016" by The New York Times Bestseller and a Forbes 2016 "Must Read Business Book". Apparently written with a investigative kind of way, as in CSI, BONES or a moden-day Sherlock Holmes, , accumulating small clues - the progressively weaker handshakes of Millenials, a notable global decrease in the use of facial powder, a change in how younger consumers approach eating ice cream cones - to help solve a stunningly diverse array of challenges. It has been called Martin's best book so far. It´s a personal, intuitive, powerful way to look at making an impact with your work when harnessing the power of "small data" in your quest to discover the next big thing. It also presents what it takes to create global brands, and reveals surprising and counter-intuitive truths about what connects us all as humans. In Big Data era, mining and matching technological data with up-close psychological insight creates the ultimate image of who we really are and what we really want. With its story-line running through Switzerland, Dubai, United States and in China with great successes story. The book Small Data combines forensic psychology with travelling in an interlocking series of international clue-gathering detective stories. • Blue Goldfish: Using Technology, Data, and Analytics to Drive Both Profits and Prophets by Evan Carroll and Stan Phelps Jan, 2016 A blue goldfish is any time a business leverages technology, data, and analytics to do a "little something extra" to improve the experience for the customer. The book is based on a collection of over 300 case studies. It examines the three R's: Relationship, Responsiveness, and Readiness. Blue Goldfish also uncovers eight different ways to turn insights into action. Are you ready to use info-sense to win profits and prophets? What's your Blue Goldfish? • • Patterns in Data Management: A Flipped Textbook by Jens Dittrich Feb, 2016 This book is an enhancement of the previously written educational videos on database technology I recorded in 2013/14. This book is not a standard textbook on database techniques. The main goal of these videos was to use them in my intermediate-level university course designed for B.Sc. students in their third year or M.Sc. students of computer science. Though my students liked the classroom model and the videos, many students asked for an additional written script that would allow them to quickly lookup explanations for material in text. Therefore, in spring 2015, I started working on the course book script which it´s trying t stay away from the old-fashioned text-oriented textbook. Now focusing in the flipped textbook Idea, it is concise in the explanations letting you to quickly find and remember terms. in this book you will find: (1) links to videos as well as slides I designed for this course, (2) for each video a textual summary of the video content phrased as questions and answers plus the most important slides and graphics from the videos, (3) Q&As as well as (4) exercises. The autor Jens Dittrich is a Full Professor of Computer Science in the area of Databases, Data Management, and Big Data at Saarland University, Germany. Affiliations also to: U Marburg, SAP AG, and ETH Zurich. Also associated to CISPA (Center for IT-Security, Privacy and Accountability. His research focuses on fast access to big data including in particular: data analytics on large datasets, main-memory databases, database indexing, and reproducibility. • Healthcare Disrupted: Next Generation Business Models and Strategies by Jeff Elton and Anne O'Riordan Feb, 2016 Healthcare Disrupted is an inspirational call-to-action for everyone associated with healthcare, especially for the innovators. It sets the framework and language for executives to govern their products, services, and strategies evolution in an increasingly value-based healthcare system during a time of uncertainty and great change. Elton and O’Riordan give many real world examples. And attempt to discuss unanswered questions. Clearly ‘no action’ is not an option and the book compels you to question yourself ‘What is your role in this digitally driven change? And how can your firm can gain competitive advantage and lead?. Health Disrupted captures the impact of the use of big data and thoughtfully develops new approaches to value creation in the healthcare industry. • • • • • Big Data Governance: Modern Data Management Principles for Hadoop, NoSQL & Big Data Analytics. by Peter Ghavami Jan, 2016 The book is a must-read for organizations´ data scientists, data engineers and information technology leaders who are implementing big data platforms. In Big Data Governance the author offers numerous policies, strategies and recipes for managing big data. In the book he has collected best practices, it addresses many issues that are prevalent with data security, privacy, controls and life cycle management, data quality, data stewardship, regulatory considerations, data council, architectural and operational models from the world’s leading organizations who have successfully implemented big data platforms. He offers the latest techniques and methods for managing big data effectively. Big Data for Business Leaders: What Today's Decision-Makers Need to Know by Judith Selby. Mar, 2016 This book provides a complete understanding of key Big Data basics for the non-technical reader. The term "Big Data" is becoming common buy it is not well understood outside of IT circles. Bid Data for Business Leaders delivers a nontechnical description of how Big Data is used, including legal and ethical concerns, and how affects corporations and transactions. Real-Time Big Data Analytics by Sumit Gupta and Saxena Shilpi. Feb, 2016 This book is for Big Data architects, developers, or programmers who want to Design, process, and analyze large sets of complex data in real time and/or develop software and frameworks to implement real-time analytics in open source technologies. It includes information on reliability of messages processed using Storm, transformations and database-level interactions, strategies to real-time data processing, Loading of datasets, building of queries, and it makes recommendations how to handle and process real-time transactional data, explore big data technologies and frameworks, work through practical challenges and use cases of real-time analytics versus batch analytics, develop real-word use cases for processing and analyzing data in real-time using the programming paradigm of Apache Storm, , use and optimization of Apache Storm for production deployments and workloads, Amazon Kinesis and Elastic MapReduce process and stream data, Spark SQL interactive and exploratory data analytics; and finally how to develop common enterprise architectures/applications for real-time and batch analytics. In short, this book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases. • Apache Pig: Getting started with Data Science on Hadoop by Mario Meir-Huber. Jan, 2016 Part of the Kick Start series, in which they get you started fast on understanding the technology: Apache Pig is focused on helping managers, sales staff, consultants, trainers and students understand the use of Apache Pig. The series kick start attempts to provide a very fast entry into a new technology. The Kick Start comes with a lot of samples that can be downloaded from the book homepage: http://cloudvane.com/kick-starters/. Apache Pig: Getting Started: is useful if you need to build up knowledge on Pig within hours and don't want to spend weeks learning the content. Architecting Experience: A Marketing Science and Digital Analytics Handbook (Advances and Opportunities with Big Data by Scot R Wheeler. Jan, 2016 Architecting Experience has been designed to help readers develop the understanding of marketing data, technology and analytics. It´s intended for postgraduate students in Digital and Direct Marketing Master's programs and professionals in IT, Research, and Marketing. This book answers the most relevant marketing question "with an ever expanding array of digital touch points at one's disposal, how does one deliver content and experiences around one's brand that build relationships and drives results?" answer to this is "through the application of data and analytics to drive highly relevant, contextual targeted content and adaptive experience". In a world with infinite amount of content and methods for consuming that content, marketing communication today is about appealing to individuals, person by person. Effectively appealing to customers requires delivery of brand experiences built on relevance and recognition of context. . • • • The New Rules of Sales and Service: How to Use Agile Selling, Real-Time Customer Engagement, Big Data, Content by David Meerman Scott Jul, 2016 Sales and service have been redefined in the era of information. Because buyers are better informed, and come with more info, choices and opportunities than before, everything about sales has changed. Salespeople must adapt because the digital Economy. Now, as customers have available total information beforehand on the web, means salespeople must transform from authorities to consultants, product narratives must tell a story, and businesses must be agile enough to respond before opportunity is lost. This book offers a reference guide for new realities of selling when buyers are in charge. Today buyers are in charge. There is no more 'selling', there is only buying. The New Rules of Sales and Service shows how to stay on top of your selling and service customers game when rules have changed. New methods and strategies, new marketplace, this book is your essential guide to navigating the new digital marketplace, it introduces: The new sales cycle and how informative Web content drives the buying process, how to provide real-time sales and service 24/7 without letting it rule your life, the importance of the new understanding of the buyer personas, shows how modern customer service keeps existing clients and expands new business, why content-rich websites motivate interest, establish authority, and drive sales and finally how social media is transforming the role of salesperson into valued consultant. All in all, these are just some of the best rated 2016 books, with over 4 of 5 stars, both technical and commercial aspect of Big Data Innovation and Use have been discussed. There are many many more. Remember already in 2016 there are over 400 titles already published. Reading, browsing and knowing about some if these will assure to be updated in the information game.