Big Data Management: Data Governance Principles for Big Data Analytics, Peter Ghavami
Автор: Kishimoto Masashi Название: Naruto: The Official Character Data Book ISBN: 1421541254 ISBN-13(EAN): 9781421541259 Издательство: Viz Media Рейтинг: Цена: 13850.00 T Наличие на складе: Есть Описание: A ninja knows all, and now you can too - all the intel on who`s who in Naruto!
Автор: Martin Kleppmann Название: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems ISBN: 1449373321 ISBN-13(EAN): 9781449373320 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Ожидается поступление. Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
Автор: Isson Jean Paul Название: People Analytics in the Era of Big Data: Changing the Way You Attract, Acquire, Develop, and Retain Talent ISBN: 1119050782 ISBN-13(EAN): 9781119050780 Издательство: Wiley Рейтинг: Цена: 41190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Apply predictive analytics throughout all stages of workforce management People Analytics in the Era of Big Data provides a blueprint for leveraging your talent pool through the use of data analytics.
Автор: Petrov Alex Название: Database Internals: A Deep-Dive Into How Distributed Data Systems Work ISBN: 1492040347 ISBN-13(EAN): 9781492040347 Издательство: Wiley Рейтинг: Цена: 55960.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you`ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases.
Автор: McKinney Wes Название: Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython ISBN: 1491957662 ISBN-13(EAN): 9781491957660 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Невозможна поставка. Описание: Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide-updated for Python 3.5 and Pandas 1.0-is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries.
Автор: Wengrow Jay Название: A Common-Sense Guide to Data Structures and Algorithms: Level Up Your Core Programming Skills ISBN: 1680502441 ISBN-13(EAN): 9781680502442 Издательство: Wiley Рейтинг: Цена: 39060.00 T Наличие на складе: Нет в наличии. Описание: If you last saw algorithms in a university course or at a job interview, you`re missing out on what they can do for your code. Learn different sorting and searching techniques, and when to use each.
Автор: Agarwal, Dr Basant, Baka, Benjamin Название: Hands-On Data Structures and Algorithms with Python 2 ed ISBN: 1788995570 ISBN-13(EAN): 9781788995573 Издательство: Неизвестно Рейтинг: Цена: 53940.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data structures help us to organize and align the data in a very efficient way. This book will surely help you to learn important and essential data structures through Python implementation for better understanding of the concepts.
Автор: Ladley John Название: Data Governance ISBN: 012815831X ISBN-13(EAN): 9780128158319 Издательство: Elsevier Science Рейтинг: Цена: 52770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity.
Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program.
Incorporates industry changes, lessons learned and new approaches
Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations
Includes new case studies which detail real-world situations
Explores all of the capabilities an organization must adopt to become data driven
Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional
Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities
Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy
Provides up to 75% brand-new content compared to the first edition
Автор: Antoniou, Constantinos Название: Mobility Patterns, Big Data and Transport Analytics ISBN: 0128129700 ISBN-13(EAN): 9780128129708 Издательство: Elsevier Science Рейтинг: Цена: 110030.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Transportation modelers and analysts face new opportunities and challenges in the study of mobility patterns and transportation systems, thanks to the advent of paradigm-shifting big data. Mobility Patterns, Big Data and Transport Analytics: Tools and Applications provides a guide to this new analytical framework related to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling.
Transportation systems analysis relies upon assumptions related to social, collective, personal, or disaggregate organization of desires expressed by the mobility of people or goods. Recent advances in information technology - such as available data from open sources, participation in media platforms, and sensor technologies - have created an environment of great change, and the potential for transportation structural reorganization. Mobility Patterns, Big Data and Transport Analytics: Tools and Applications features prominent international expert overview on these new analytical frameworks, applications, and concepts in mobility analysis and transportation systems.
The book covers in detail, mobility 'structural' analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data's impact on mobility, and an introduction to the tools necessary to apply new techniques.
Guides readers through the paradigm-shifting opportunities and challenges of handling Big Data in transportation modeling and analytics
Covers current analytical innovations focused on capturing, predicting, visualizing, and controlling mobility patterns, while discussing future trends
Delivers an introduction to transportation-related information advances, providing a benchmark reference by world-leading experts in the field
Captures and manages mobility patterns, covering multiple purposes and alternative transport modes, in a multi-disciplinary approach
Companion website features videos showing the analyses performed, as well as test codes and data-sets, allowing readers to recreate the presented analyses and apply the highlighted techniques to their own data
Автор: Sara Moridpour Название: Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities ISBN: 1522579435 ISBN-13(EAN): 9781522579434 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 160770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Recent research reveals that socioeconomic factors of the neighborhoods where road users live and where pedestrian-vehicle crashes occur are important in determining the severity of the crashes, with the former having a greater influence. Hence, road safety countermeasures, especially those focusing on the road users, should be targeted at these high risk neighborhoods.Big Data Analytics in Traffic and Transportation Engineering: Emerging Research and Opportunities is an essential reference source that discusses access to transportation and examines vehicle-pedestrian crashes, specifically in relation to socioeconomic factors that influence them, main predictors, factors that contribute to crash severity, and the enhancement of pedestrian safety measures. Featuring research on topics such as public transport, accessibility, and spatial distribution, this book is ideally designed for policymakers, transportation engineers, road safety designers, transport planners and managers, professionals, academicians, researchers, and public administrators.
Автор: Nilanjan Dey, Sharvari Tamane Название: Big Data Analytics for Smart and Connected Cities ISBN: 1522562079 ISBN-13(EAN): 9781522562078 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 218990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities.Big Data Analytics for Smart and Connected Cities is a pivotal reference source that provides vital research on the application of the integration of interconnected technologies and big data analytics into the creation of smart cities. While highlighting topics such as energy conservation, public transit planning, and performance measurement, this publication explores technology integration in urban environments as well as the methods of planning cities to implement these new technologies. This book is ideally designed for engineers, professionals, researchers, and technology developers seeking current research on technology implementation in urban settings.
Автор: Gressel, Simone Pauleen, David Taskin, Nazim Название: Management decision-making, big data and analytics ISBN: 1526492008 ISBN-13(EAN): 9781526492005 Издательство: Sage Publications Рейтинг: Цена: 48570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An exciting new textbook examining big data and business analytics to look at how they can help managers become more effective decision-makers.
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