Data Power

Author : Ola Söderström,Ayona Datta
Publisher : Policy Press
Page : 216 pages
File Size : 42,5 Mb
Release : 2023-12-21
Category : Social Science
ISBN : 9781529233568

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Data Power in Action by Ola Söderström,Ayona Datta Pdf

EPDF and EPUB available Open Access under CC-BY-NC-ND licence. Drawing on the study of different cities in the Global South, this book explores how the intensive use of data changes politics, power relations, and everyday life in contemporary cities. Across the volume, expert contributors show how urban actors, from the state to activists, are increasingly using data as a resource to empower their actions and support their claims, while also demonstrating how times of crisis are moments when the power of data is made visible. Focusing on the different dimensions of data power and politics in the urban realm, this is an important contribution to our understanding of how datafication transforms the places in which we live and how we experience them.

Author : Jim E. Thatcher,Craig M. Dalton
Publisher : Pluto Press (UK)
Page : 144 pages
File Size : 53,5 Mb
Release : 2021-12-20
Category : Electronic
ISBN : 0745340083

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Data Power by Jim E. Thatcher,Craig M. Dalton Pdf

An introduction to learning how to protect ourselves and organise against Big Data

Author : Hasselbalch, Gry
Publisher : Edward Elgar Publishing
Page : 208 pages
File Size : 54,9 Mb
Release : 2021-12-09
Category : Political Science
ISBN : 9781802203110

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Data Ethics of Power by Hasselbalch, Gry Pdf

Data Ethics of Power takes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world.

Author : Zita A. Vale,Tiago Pinto,Michael Negnevitsky,Ganesh Kumar Venayagamoorthy
Publisher : John Wiley & Sons
Page : 500 pages
File Size : 47,8 Mb
Release : 2022-12-02
Category : Technology & Engineering
ISBN : 9781119834045

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Intelligent Data Mining and Analysis in Power and Energy Systems by Zita A. Vale,Tiago Pinto,Michael Negnevitsky,Ganesh Kumar Venayagamoorthy Pdf

Intelligent Data Mining and Analysis in Power and Energy Systems A hands-on and current review of data mining and analysis and their applications to power and energy systems In Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, the editors assemble a team of distinguished engineers to deliver a practical and incisive review of cutting-edge information on data mining and intelligent data analysis models as they relate to power and energy systems. You’ll find accessible descriptions of state-of-the-art advances in intelligent data mining and analysis and see how they drive innovation and evolution in the development of new technologies. The book combines perspectives from authors distributed around the world with expertise gained in academia and industry. It facilitates review work and identification of critical points in the research and offers insightful commentary on likely future developments in the field. It also provides: A thorough introduction to data mining and analysis, including the foundations of data preparation and a review of various analysis models and methods In-depth explorations of clustering, classification, and forecasting Intensive discussions of machine learning applications in power and energy systems Perfect for power and energy systems designers, planners, operators, and consultants, Intelligent Data Mining and Analysis in Power and Energy Systems will also earn a place in the libraries of software developers, researchers, and students with an interest in data mining and analysis problems.

Author : Byron Braswell,David Shute,Daniel Dickerson,Richard Kinard,Manuel Carrizosa,Bruno Neves,Pablo Sanchez,Gerry Kaplan,IBM Redbooks
Publisher : IBM Redbooks
Page : 160 pages
File Size : 55,6 Mb
Release : 2011-08-25
Category : Computers
ISBN : 9780738435732

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DataPower SOA Appliance Service Planning, Implementation, and Best Practices by Byron Braswell,David Shute,Daniel Dickerson,Richard Kinard,Manuel Carrizosa,Bruno Neves,Pablo Sanchez,Gerry Kaplan,IBM Redbooks Pdf

This IBM® Redbooks® publication will help you to better understand the effective use of the WebSphere® DataPower® family of appliances. It provides guidance on the best methods identified to date for building the various components that implement solutions, such as handling MQ-based message flows or creating authentication and authorization policies. The information and recommendations in this publication are the result of real world experiences using the appliances. Such experience shows that taking the time to plan a solution implementation before beginning the work yields the greatest savings in time and energy and the highest quality outcome. This publication begins with a checklist of items to consider when planning a DataPower solution. This publication is intended to provide answers or guidance to implementation problems often encountered by users of the appliance. This book is not intended to present complete solutions or templates because experience shows that every customer uses the appliance in their own unique environment with unique requirements. Thus, this publication provides a compendium of information about particular aspects of a solution. Use the Table of Contents or Index to find your current issue, and return to this publication when the next issue or question arises. Refer to the related IBM Redbooks publication entitled DataPower SOA Appliance Administration, Deployment, and Best Practices, SG24-7901 for more information.

Author : Gerry Kaplan,Jan Bechtold,Daniel Dickerson,Richard Kinard,Ronnie Mitra,Helio L. P. Mota,David Shute,John Walczyk,IBM Redbooks
Publisher : IBM Redbooks
Page : 300 pages
File Size : 43,6 Mb
Release : 2011-06-06
Category : Computers
ISBN : 9780738435701

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DataPower SOA Appliance Administration, Deployment, and Best Practices by Gerry Kaplan,Jan Bechtold,Daniel Dickerson,Richard Kinard,Ronnie Mitra,Helio L. P. Mota,David Shute,John Walczyk,IBM Redbooks Pdf

This IBM® Redbooks® publication focuses on operational and managerial aspects for DataPower® appliance deployments. DataPower appliances provide functionality that crosses both functional and organizational boundaries, which introduces unique management and operational challenges. For example, a DataPower appliance can provide network functionality, such as load balancing, and at the same time, provide enterprise service bus (ESB) capabilities, such as transformation and intelligent content-based routing. This IBM Redbooks publication provides guidance at both a general and technical level for individuals who are responsible for planning, installation, development, and deployment. It is not intended to be a "how-to" guide, but rather to help educate you about the various options and methodologies that apply to DataPower appliances. In addition, many chapters provide a list of suggestions.

Author : Alex Louwe Kooijmans,Bill Hines,Karan Punwani,Barry Silliman,Pradeep Thomas,Nigel Williams,IBM Redbooks
Publisher : IBM Redbooks
Page : 80 pages
File Size : 47,7 Mb
Release : 2011-09-29
Category : Computers
ISBN : 9780738450582

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Simplifying Integration with IBM WebSphere DataPower Integration Appliance XI50 for zEnterprise by Alex Louwe Kooijmans,Bill Hines,Karan Punwani,Barry Silliman,Pradeep Thomas,Nigel Williams,IBM Redbooks Pdf

This IBM® RedpaperTM publication illustrates how the IBM WebSphere DataPower Integration Appliance XI50 for zEnterprise provides a secure, fast, cost-effective, easy-to-manage, all-in-one enterprise application integration solution. On top of all the benefits that the DataPower XI50 and XI52 already provide, incorporating the DataPower XI50z into zEnterprise also provides a number of additional benefits: - Exploitation of the high-speed intraensemble data network (IEDN) connecting the zEnterprise Blade Extension (zBX) with the zEnterprise central processor complex (CPC), either a zEnterprise 196 (z196) or zEnterprise 114 (z114) - Secure incorporation of the DataPower XI50z appliance into a virtual local area network (VLAN) on the zBX - Unified management of the DataPower XI50z, along with other blades and optimizers using a common management tool - A centralized computing model, resulting in more efficient use of floor space, lower energy costs, and a lower total cost of ownership (TCO) The DataPower XI50z provides a variety of powerful integration scenarios specifically for older mainframe applications, making it a natural choice to include the appliance in your centralized zEnterprise server. This publication is intended for potential and actual users of the DataPower XI50z.

Author : Reza Arghandeh,Yuxun Zhou
Publisher : Elsevier
Page : 480 pages
File Size : 55,9 Mb
Release : 2017-11-27
Category : Science
ISBN : 9780128119693

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Big Data Application in Power Systems by Reza Arghandeh,Yuxun Zhou Pdf

Big Data Application in Power Systems brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity of measurement data in electricity transmission and distribution level. The book focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data. The book chapters discuss challenges, opportunities, success stories and pathways for utilizing big data value in smart grids. Provides expert analysis of the latest developments by global authorities Contains detailed references for further reading and extended research Provides additional cross-disciplinary lessons learned from broad disciplines such as statistics, computer science and bioinformatics Focuses on rapidly modernizing monitoring systems, measurement data availability, big data handling and machine learning approaches to process high dimensional, heterogeneous and spatiotemporal data

Author : Patrick Bangert
Publisher : Elsevier
Page : 276 pages
File Size : 52,9 Mb
Release : 2021-01-14
Category : Technology & Engineering
ISBN : 9780128226001

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Machine Learning and Data Science in the Power Generation Industry by Patrick Bangert Pdf

Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting. Provides best practices on how to design and set up ML projects in power systems, including all nontechnological aspects necessary to be successful Explores implementation pathways, explaining key ML algorithms and approaches as well as the choices that must be made, how to make them, what outcomes may be expected, and how the data must be prepared for them Determines the specific data needs for the collection, processing, and operationalization of data within machine learning algorithms for power systems Accompanied by numerous supporting real-world case studies, providing practical evidence of both best practices and potential pitfalls

Author : Alberto Ferrari,Marco Russo
Publisher : Microsoft Press
Page : 438 pages
File Size : 41,8 Mb
Release : 2017-04-28
Category : Business & Economics
ISBN : 9781509302819

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Analyzing Data with Power BI and Power Pivot for Excel by Alberto Ferrari,Marco Russo Pdf

Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data

Author : Ken Puls,Miguel Escobar
Publisher : Tickling Keys, Inc.
Page : 212 pages
File Size : 41,7 Mb
Release : 2015-06-01
Category : Computers
ISBN : 9781615473458

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M Is for (Data) Monkey by Ken Puls,Miguel Escobar Pdf

Power Query is one component of the Power BI (Business Intelligence) product from Microsoft, and "M" is the name of the programming language created by it. As more business intelligence pros begin using Power Pivot, they find that they do not have the Excel skills to clean the data in Excel; Power Query solves this problem. This book shows how to use the Power Query tool to get difficult data sets into both Excel and Power Pivot, and is solely devoted to Power Query dashboarding and reporting.

Author : Anonim
Publisher : Vervante
Page : 222 pages
File Size : 45,9 Mb
Release : 2008-01-01
Category : Computers
ISBN : 0738431710

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DataPower Architectural Design Patterns by Anonim Pdf

Author : Jens Eickhoff
Publisher : Springer Science & Business Media
Page : 249 pages
File Size : 49,9 Mb
Release : 2013-06-13
Category : Technology & Engineering
ISBN : 9783642355578

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A Combined Data and Power Management Infrastructure by Jens Eickhoff Pdf

This book describes the development and design of a unique combined data and power management infrastructure The use in small satellites gives some particular requirements to the systems like potential hardware failure robustness and handling of different types of external analog and digital interfaces. These requirements lead to a functional merge between On Board Computer and the satellite's Power Control and Distribution Unit, which results in a very innovative design and even a patent affiliation. This book provides system engineers and university students with the technical knowledge as mix between technical brochure and a user guide.

Author : Soheil Bakhshi
Publisher : Packt Publishing Ltd
Page : 612 pages
File Size : 47,7 Mb
Release : 2021-06-11
Category : Computers
ISBN : 9781800203174

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Expert Data Modeling with Power BI by Soheil Bakhshi Pdf

Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BI Key Features Understand data modeling techniques to get the best out of data using Power BI Define the relationships between data to extract valuable insights Solve a wide variety of business challenges by building optimal data models Book DescriptionThis book is a comprehensive guide to understanding the ins and outs of data modeling and how to create data models using Power BI confidently. You'll learn how to connect data from multiple sources, understand data, define and manage relationships between data, and shape data models to gain deep and detailed insights about your organization. In this book, you'll explore how to use data modeling and navigation techniques to define relationships and create a data model before defining new metrics and performing custom calculations using modeling features. As you advance through the chapters, the book will demonstrate how to create full-fledged data models, enabling you to create efficient data models and simpler DAX code with new data modeling features. With the help of examples, you'll discover how you can solve business challenges by building optimal data models and changing your existing data models to meet evolving business requirements. Finally, you'll learn how to use some new and advanced modeling features to enhance your data models to carry out a wide variety of complex tasks. By the end of this Power BI book, you'll have gained the skills you need to structure data coming from multiple sources in different ways to create optimized data models that support reporting and data analytics.What you will learn Implement virtual tables and time intelligence functionalities in DAX to build a powerful model Identify Dimension and Fact tables and implement them in Power Query Editor Deal with advanced data preparation scenarios while building Star Schema Explore best practices for data preparation and modeling Discover different hierarchies and their common pitfalls Understand complex data models and how to decrease the level of model complexity with different approaches Learn advanced data modeling techniques such as aggregations, incremental refresh, and RLS/OLS Who this book is for This MS Power BI book is for BI users, data analysts, and analysis developers who want to become well-versed with data modeling techniques to make the most of Power BI. You’ll need a solid grasp on basic use cases and functionalities of Power BI and Star Schema functionality before you can dive in.

Author : Anonim
Publisher : Unknown
Page : 1846 pages
File Size : 50,5 Mb
Release : 1980
Category : Government publications
ISBN : OSU:32437010622864

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Monthly Catalog of United States Government Publications by Anonim Pdf