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As one of the more versatile programming languages, Python is well-known for its batteries-included philosophy, which includes a rich set of modules in its standard library; Tkinter is the library included for building desktop applications. Due to this, Tkinter is a common choice for rapid GUI development, and more complex applications can ...
In this IBM Redbooks publication we describe and demonstrate dimensional data modeling techniques and technology, specifically focused on business intelligence and data warehousing. It is to help the reader understand how to design, maintain, and use a dimensional model for data warehousing that can provide the data access and performance required for business intelligence. Business intelligence is comprised of a data warehousing infrastructure, and a query, analysis, and reporting environment. Here we focus on the data warehousing infrastructure. But only a specific element of it, the data model - which we consider the base building block of the data warehouse. Or, more precisely, the topic of data modeling and its impact on the business and business applications. The objective is not to provide a treatise on dimensional modeling techniques, but to focus at a more practical level. There is technical content for designing and maintaining such an environment, but also business content. For example, we use case studies to demonstrate how dimensional modeling can impact the business intelligence requirements for your business initiatives. In addition, we provide a detailed discussion on the query aspects of BI and data modeling. For example, we discuss query optimization and how you can determine performance of the data model prior to implementation. You need a solid base for your data warehousing infrastructure . . . . a solid data model.
The Implementing MicroStrategy: Development and Deployment course provides an overview of the stages involved in developing, implementing, and maintaining a business intelligence project. You will first get an intensive, yet high-level overview of the project design and report creation processes, followed by the document and dashboard creation basics. The course also covers deployment to MicroStrategy Web™ and MicroStrategy Mobile™, as well as administration and maintenance of MicroStrategy environment.
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
"Content is now king - and if you're a brand marketer, you need to be a media company, too. Your Brand, The Next Media Company brings together the strategic insights, operational techniques, and insights and practical approaches for transforming your brand into a highly successful media company - and a winning social business! Social business pioneer Michael Brito covers every step of the process, including: Understanding your social customer and their new world Planning your social business and content strategies Building infrastructure and teams, and setting the stage for transformation Identifying and overcoming the specific content challenges you face Recognizing the central role content now plays Developing your content message Transitioning from brand messaging to high content relevancy Moving from content creation to curation to aggregation Successfully integrating paid, earned, and owned media content Distributing the right content at the right time through the right channels to the right customers Mastering the critical new roles of the community manager in your media company Evaluating the content technology vendors and software platforms vying for your businessAlong the way, Brito presents multiple case studies from brand leaders worldwide, including Coca Cola, RedBull, Oreo, Skittles, Old Spice, Dos Equis, Gatorade, Tide, and the NFL - delivering specific, powerfully relevant insights you can act on and profit from immediately." --Publisher description.
Big Data in a nutshell: It is the ability to retain, process, and understand data like never before. It can mean more data than what you are using today; but it can also mean different kinds of data, a venture into the unstructured world where most of today's data resides. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world's fastest and most flexible platform for streaming data. Capturing, storing, refining, transforming, governing, securing, and analyzing data are important topics also covered in this book.
2018 version of the OSINT Tools and Resources Handbook. This version is almost three times the size of the last public release in 2016. It reflects the changing intelligence needs of our clients in both the public and private sector, as well as the many areas we have been active in over the past two years.
"Everyone who's involved in financial markets must understand Point and Figure charting in order to get the full picture, whatever your view of technical analysis". - Jim Rogers, author of Hot Commodities and Investment Biker "An invaluable road map for managing risk in the markets. Tom's methodology has given us the discipline and confidence to look around corners for our clients for almost twenty years." - James A. Parish, President and COO, Morgan Keegan & Co., Private Client Group "Tom Dorsey continues to be one of the foremost authorities on Point and Figure charting. His relative strength analyses are essential for investors and traders alike. Furthermore, I always want to know what his NYSE Bullish Percent Indicators is "saying." - Lawrence G. McMillan, President, McMillan Analysis Corp., www.optionstrategist.com "Tom Dorsey has done it again... he has taken his 30-plus years of unending devotion, talents, and insights in technical analysis and applied them to Exchange Traded Funds. He begins with the history of ETFs, explains how different they are from mutual funds, and then applies his expertise in Point and Figure charting to help traders and investors time their purchases and sales." - Ralph J. Acampora, CMT, Director of Technical research, Knight Capital "Reading Tom Dorsey's Point & Figure Charting is the like procuring a road map before you begin a journey. It's a comprehensive look at how to succeed in the markets. This book is not only essential but easy to follow for everyone." - Paulo Pinto, CEO, Dif Broker "Point and Figure Charting has become a valuable part of my daily trading routine. As an investment professional, it makes perfect sense to use Tom's methods in conjunction with fundamental analysis." - Damion Carufe, Investment Professional
For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.