著者:Wes McKinney
出版社: O'Reilly Media
発売日: 2022年08月12日
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with ……続きを見る
The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive ……続きを見る
Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new fe……続きを見る
Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, sma……続きを見る
This book investigates novel methods and technologies for the collection, analysis and representation of real-time user-generated data at the urban scale in order to explore potential scenarios for ……続きを見る
Master Oracle Data Guard 11g
Provide superior data protection, availability, and disaster recovery using the tested techniques in this Oracle Press guide. Cowritten by a team of Oracle experts, Orac……続きを見る
著者:Zoran Majkić
出版社: Springer International Publishing
発売日: 2014年01月23日
This book presents a novel approach to database concepts, describing a categorical logic for database schema mapping based on views, within a framework for database integration/exchange and peer-to-……続きを見る
Freemium Economics presents a practical, instructive approach to successfully implementing the freemium model into your software products by building analytics into product design from the earliest ……続きを見る
This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different c……続きを見る
In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement……続きを見る
Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural languag……続きを見る
This is the first comprehensive introduction to Support Vector Machines (SVMs), a generation learning system based on recent advances in statistical learning theory. SVMs deliver state-of-the-art pe……続きを見る
However excellent they are, most computer books are inherently passive--readers simply take in text without having any opportunity to react to it. The Oracle PL/SQL Developer's Workbook is a differe……続きを見る
著者:Mike Loukides
出版社: O'Reilly Media
発売日: 2011年09月14日
This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "dis……続きを見る
For the new or veteran DBA: Whether you're skeptical or enthusiastic about new types of databases this book contains all you need to understand about when and how to implement NoSQL technology in yo……続きを見る
Knowledge for Free...
Get that job, you aspire for!
Want to switch to that high paying job? Or are you already been preparing hard to give interview the next weekend?
Do you know how many people get……続きを見る
As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills, p……続きを見る
This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” a……続きを見る
著者:Mike Barlow
出版社: O'Reilly Media
発売日: 2013年10月08日
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)……続きを見る
Data is the diet of development. Planning requires data about the present situation to determine the needs before required resources are mobilized to meet them. For example, data about present schoo……続きを見る
Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In……続きを見る
The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from s……続きを見る
An Economist Best Book of the Year
A PBS NewsHour Book of the Year
An Entrepeneur Top Business Book
An Amazon Best Book of the Year in Business and Leadership
New York Times Bestseller
Foreword by S……続きを見る
Updated new edition of Ralph Kimball's groundbreaking book on dimensional modeling for data warehousing and business intelligence!
The first edition of Ralph Kimball's The Data Warehouse Toolkit int……続きを見る
"Turn yourself into a Data Head. You'll become a more valuable employee and make your organization more successful."
Thomas H. Davenport, Research Fellow, Author of Competing on Analytics, Big Data ……続きを見る
COVID-19, a novel coronavirus pandemic has disrupted our society in many ways. Digital healthcare innovations are required more than ever before as we have come across myriad challenges during this ……続きを見る
Data Science Building Blocks is a result of the authors’ many years of industry experience in data science and their various interactions with learners whose conversations also figure in this conten……続きを見る
Struggling to convert your data, analytics and AI strategy into business value?
Data and Analytics Strategy for Business by Simon Asplen-Taylor is an essential guide for CDOs, CAIOs, CIOs and CTOs s……続きを見る
A step-by-step guide to the qualitative research process that "can be understood by beginners . . . informative and interesting" ( Choice).
Qualitative Data is meant for the novice researcher who n……続きを見る
Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's successーand is absolutely essential for those working with production code……続きを見る