Tag: Data

Free Download Kevin McGillivray, "Government Cloud Procurement: Contracts, Data Protection, and the Quest for Compliance"
English | ISBN: 1108837670 | 2021 | 300 pages | AZW3 | 1274 KB
In Government Cloud Procurement, Kevin McGillivray explores the question of whether governments can adopt cloud computing services and still meet their legal requirements and other obligations to citizens. The book focuses on the interplay between the technical properties of cloud computing services and the complex legal requirements applicable to cloud adoption and use. The legal issues evaluated include data privacy law (GDPR and the US regime), jurisdictional issues, contracts, and transnational private law approaches to addressing legal requirements. McGillivray also addresses the unique position of governments when they outsource core aspects of their information and communications technology to cloud service providers. His analysis is supported by extensive research examining actual cloud contracts obtained through Freedom of Information Act requests. With the demand for cloud computing on the rise, this study fills a gap in legal literature and offers guidance to organizations considering cloud computing.

Free Download Enterprise Security: A Data-Centric Approach to Securing the Enterprise By Aaron Woody
2013 | 324 Pages | ISBN: 1849685967 | PDF | 3 MB
A guide to applying data-centric security concepts for securing enterprise data to enable an agile enterprise Overview Learn sample forms and process flows for quick and easy use. An easy-to-follow reference for implementing information security in the enterprise. Learn enterprise information security challenges and roadmap to success. In Detail Enterprise security redefined using a data-centric approach and trust models to transform information security into a business enablement process. It is a unique and forward thinking approach for deciding the best method to secure data in the enterprise, the cloud, and in BYOD environments. "Enterprise Security: A Data-Centric Approach to Securing the Enterprise" will guide you through redefining your security architecture to be more affective and turn information security into a business enablement process rather than a roadblock. This book will provide you with the areas where security must focus to ensure end-to-end security throughout the enterprise-supporting enterprise initiatives such as cloud and BYOD. "Enterprise Security: A Data-Centric Approach to Securing the Enterprise" will first introduce the reader to a new security architecture model and then explores the must have security methods and new tools that can used to secure the enterprise. This book will take a data-centric approach to securing the enterprise through the concept of Trust Models and building a layered security implementation focused on data. This is not your traditional security book focused on point solutions and the network aspect of security. This book combines best practice methods with new methods to approach enterprise security and how to remain agile as the enterprise demands more access to data from traditionally untrusted assets, hosted solutions, and third parties. Applied Information Security – A Data-Centric Approach to Securing the Enterprise will provide the reader an easy-to-follow flow from architecture to implementation, diagrams and recommended steps, and resources for further research and solution evaluation. This book is a reference and guide for all levels of enterprise security programs that have realized that non-data centric security is no longer practical and new methods must be used to secure the most critical assets in the enterprise. What you will learn from this book Enterprise information security challenges and roadmap to success. Data-centric security architecture. Applying security through policies, standards, and processes. Basics of risk analysis, deciding what is valuable and needs to be secured. Layered security approach from data to network edge. Securing wireless implementations. Managing the human element of security through awareness. Security monitoring and incident management. Learn sample forms and process flows for quick and easy use. Approach It’s a reference guide to enterprise security programs.

Free Download Rupert Morrison, "Data-driven Organization Design: Sustaining the Competitive Edge Through Organizational Analytics"
English | ISBN: 0749474416 | 2015 | 368 pages | AZW3 | 9 MB
SHORTLISTED: CMI Management Book of the Year 2017 – Management Futures Category

Free Download Frank Melendez, Nancy Diniz, "Data, Matter, Design: Strategies in Computational Design"
English | 2020 | pages: 309 | ISBN: 0367369133, 0367369095 | PDF | 164,1 mb
Data, Matter, Design presents a comprehensive overview of current design processes that rely on the input of data and use of computational design strategies, and their relationship to an array of outputs.

Free Download G. David Garson, "Data Analytics for the Social Sciences: Applications in R"
English | ISBN: 0367624273 | 2021 | 686 pages | AZW3, MOBI | 17 MB + 19 MB
Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers.

Free Download Computational Medicine in Data Mining and Modeling By Argyris Kalogeratos, V. Chasanis (auth.), Goran Rakocevic, Tijana Djukic, Nenad Filipovic, Veljko Milutinović (eds.)
2013 | 376 Pages | ISBN: 1461487846 | PDF | 10 MB
This book presents an overview of a variety of contemporary statistical, mathematical and computer science techniques which are used to further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets of clinical data typically found in patient’s medical records, image mining, medical mining, data mining and machine learning applied to generic genomic data and more. This work also introduces modeling behavior of cancer cells, multi-scale computational models and simulations of blood flow through vessels by using patient-specific models. The authors cover different imaging techniques used to generate patient-specific models. This is used in computational fluid dynamics software to analyze fluid flow. Case studies are provided at the end of each chapter. Professionals and researchers with quantitative backgrounds will find Computational Medicine in Data Mining and Modeling useful as a reference. Advanced-level students studying computer science, mathematics, statistics and biomedicine will also find this book valuable as a reference or secondary text book.

Free Download Brian Suda, "A Practical Guide to Designing with Data"
English | 2010 | pages: 217 | ISBN: 0956174086 | PDF | 2,8 mb
In recent years, the terms Visualization, Infographic and others have been bantered around with almost no regard to their use or meaning. There is a new vernacular emerging in the realms of data representations, but that doesn’t mean we can ignore the much simpler origins and best practices of charts and graphs.

Free Download Rons Data Stream Pro 2024.9.9.949 | 16.7 Mb
Rons Data Stream is a Windows application for automatically processing, cleaning and/or converting one or many data sources. Rons Data Stream is a Windows application for automatically executing repetitive tasks on small or large data sources (for example CSV files). Batches of files or folders may be cleaned, organized, and converted in one run.

Free Download Rons Data Edit Pro 2024.9.9.1120 | 13.7 Mb
Professional CSV file editor for Windows. A modern tabular text editor that combines elegance, power and ease of use. Rons Data Edit is a powerful new Modern CSV file editor for Windows. It can open any format of separated text (CSV, TSV etc.), and allows total control over their content and structure. Built from ground up to present both application control and data clearly, it provides the ideal data editing environment.

Free Download Snowpark for Data Engineers
Released 9/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 51m | Size: 217 MB
Take a deep dive into Snowpark Python in Snowflake, the library set specifically designed for data engineers and professionals seeking to leverage the capabilities of the Snowflake managed data platform. Join instructor Janani Ravi as she shows how to get up and running with Snowpark, from setting up a Snowflake trial account to writing Snowpark handlers, performing data transformations, and working with both structured and semistructured data. Along the way, explore more advanced concepts such as creating and managing user-defined functions (UDFs), user-defined table functions (UDTFs), and stored procedures, as well as how to install necessary packages, access custom packages, and connect to Snowflake from a Jupyter notebook. By the end of this course, you’ll be prepared to start manipulating data frames, performing data engineering tasks, and implementing complex data processing functions within Snowflake.