Data Jujitsu
Author | : D. J. Patil |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 26 |
Release | : 2012 |
Genre | : Data mining |
ISBN | : 1449341152 |
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Author | : D. J. Patil |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 26 |
Release | : 2012 |
Genre | : Data mining |
ISBN | : 1449341152 |
Author | : DJ Patil |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 16 |
Release | : 2012-11-14 |
Genre | : Computers |
ISBN | : 1449341128 |
Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu. Learn how to use a problem's "weight" against itself to: Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problems Learn more about the problems before starting on the solutions—and use the findings to solve them, or determine whether the problems are worth solving at all.
Author | : Mike Barlow |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 24 |
Release | : 2013-10-08 |
Genre | : Computers |
ISBN | : 1491946725 |
Technology does not exist in a vacuum. In the same way that a plant needs water and nourishment to grow, technology needs people and process to thrive and succeed. Culture (i.e., people and process) is integral and critical to the success of any new technology deployment or implementation. Big data is not just a technology phenomenon. It has a cultural dimension. It's vitally important to remember that most people have not considered the immense difference between a world seen through the lens of a traditional relational database system and a world seen through the lens of a Hadoop Distributed File System.This paper broadly describes the cultural challenges that accompany efforts to create and sustain big data initiatives in an evolving world whose data management processes are rooted firmly in traditional data warehouse architectures.
Author | : Harvard Business Review |
Publisher | : Harvard Business Press |
Total Pages | : 169 |
Release | : 2018-03-13 |
Genre | : Business & Economics |
ISBN | : 1633694291 |
Don't let a fear of numbers hold you back. Today's business environment brings with it an onslaught of data. Now more than ever, managers must know how to tease insight from data--to understand where the numbers come from, make sense of them, and use them to inform tough decisions. How do you get started? Whether you're working with data experts or running your own tests, you'll find answers in the HBR Guide to Data Analytics Basics for Managers. This book describes three key steps in the data analysis process, so you can get the information you need, study the data, and communicate your findings to others. You'll learn how to: Identify the metrics you need to measure Run experiments and A/B tests Ask the right questions of your data experts Understand statistical terms and concepts Create effective charts and visualizations Avoid common mistakes
Author | : Jorge Marx Gómez |
Publisher | : Springer Nature |
Total Pages | : 599 |
Release | : 2022-12-01 |
Genre | : Business & Economics |
ISBN | : 3031154207 |
This book presents case studies to analyse the relationship between sustainability – environmental, social, institutional and economic – and digital innovation. The respective contributions offer a contextualisation of the main present and future trends concerning these two elements, and present analyses from economic, technical, managerial, and social perspectives alike. The individual sections of the book focus on interactions between sustainability and digital innovation in existing organisations and highlight the new opportunities, challenges and threats that may emerge as a result. The contributions are mainly based on case studies and research conducted in Europe and Africa, with a few focusing on Southeast Asia and Central America, and were prepared by experts in the fields of Information Systems, Computer Science, Social Development, and Economics.
Author | : Joe Reis |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 454 |
Release | : 2022-06-22 |
Genre | : Computers |
ISBN | : 1098108256 |
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology. This book will help you: Get a concise overview of the entire data engineering landscape Assess data engineering problems using an end-to-end framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle
Author | : Jason E. Lane |
Publisher | : State University of New York Press |
Total Pages | : 344 |
Release | : 2014-09-30 |
Genre | : Education |
ISBN | : 1438454546 |
The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at colleges and universities, higher education has yet to turn the digital mirror on itself to advance the academic enterprise. Institutions can use the huge amounts of data being generated to improve the student learning experience, enhance research initiatives, support effective community outreach, and develop campus infrastructure. This volume focuses on three primary themes related to creating a smarter university: refining the operations and management of higher education institutions, cultivating the education pipeline, and educating the next generation of data scientists. Through an analysis of these issues, the contributors address how universities can foster innovation and ingenuity in the academy. They also provide scholarly and practical insights in order to frame these topics for an international discussion.
Author | : Robert W. Kolb |
Publisher | : SAGE Publications |
Total Pages | : 4074 |
Release | : 2018-03-27 |
Genre | : Business & Economics |
ISBN | : 148338151X |
Spans the relationships among business, ethics, and society by including numerous entries that feature broad coverage of corporate social responsibility, the obligation of companies to various stakeholder groups, the contribution of business to society and culture, and the relationship between organizations and the quality of the environment.
Author | : DJ Patil |
Publisher | : |
Total Pages | : 24 |
Release | : 2012 |
Genre | : |
ISBN | : |
Acclaimed data scientist DJ Patil details a new approach to solving problems in Data Jujitsu. Learn how to use a problem's "weight" against itself to: Break down seemingly complex data problems into simplified parts Use alternative data analysis techniques to examine them Use human input, such as Mechanical Turk, and design tricks that enlist the help of your users to take short cuts around tough problems Learn more about the problems before starting on the solutions-and use the findings to solve them, or determine whether the problems are worth solving at all.
Author | : Thomas H. Davenport |
Publisher | : Harvard Business Review Press |
Total Pages | : 972 |
Release | : 2014-08-12 |
Genre | : Business & Economics |
ISBN | : 1625277741 |
The Analytics and Big Data collection offers a “greatest hits” digital compilation of ideas from world-renowned thought leader Thomas Davenport, who helped popularize the terms analytics and big data in the workplace. An agile and prolific thinker, Davenport has written or coauthored more than a dozen bestselling books. Several of these titles are offered together for the first time in this curated digital bundle, including: Big Data at Work, Competing on Analytics, Analytics at Work, and Keeping Up with the Quants. The collection also includes Davenport’s popular Harvard Business Review articles, “Data Scientist: The Sexiest Job of the 21st Century” (2012) and “Analytics 3.0” (2013). Combined, these works cover all the bases on analytics and big data: what each term means; the ramifications of each from a technical, consumer, and management perspective; and where each can have the biggest impact on your business. Whether you’re an executive, a manager, or a student wanting to learn more, Analytics and Big Data is the most comprehensive collection you’ll find on the ever-growing phenomenon of digital data and analysis—and how you can make this rising business trend work for you. Named one of the ten “Masters of the New Economy” by CIO magazine, Thomas Davenport has helped hundreds of companies revitalize their management practices. He combines his interests in research, teaching, and business management as the President’s Distinguished Professor of Information Technology & Management at Babson College. Davenport has also taught at Harvard Business School, the University of Chicago, Dartmouth’s Tuck School of Business, and the University of Texas at Austin and has directed research centers at Accenture, McKinsey & Company, Ernst & Young, and CSC. He is also an independent Senior Advisor to Deloitte Analytics.