Attention all SQL Pros, DAX is not just for writing Excel-based formulas! Get hands-on learning and expert advice on how to use the vast capabilities of the DAX language to solve common data modeling challenges. Beginning DAX with Power BI teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides you on a journey through typical business data transformation scenarios and challenges, and teaches you, step-by-step, how to resolve challenges using DAX. Tips, tricks, and shortcuts are included and explained, along with examples of the SQL equivalent, in order to accelerate learning. Examples in the book range from beginner to advanced, with plenty of detailed explanation when walking through each scenario. What You´ll Learn Turbocharge your Power BI model by adding advanced DAX programming techniques Know when to use calculated measures versus calculated columns Generate new tables on the fly from existing data Optimize, monitor, and tune Power BI to improve performance of your models Discover new ideas, tricks, and time-saving techniques for better models Who This Book Is For Business intelligence developers, business analysts, or any SQL user who wants to use Power BI as a reporting tool. A solid understanding of SQL is recommended, as examples throughout the book include the DAX equivalents to SQL problem/solution scenarios.
Power analysis attacks allow the extraction of secret information from smart cards. Smart cards are used in many applications including banking, mobile communications, pay TV, and electronic signatures. In all these applications, the security of the smart cards is of crucial importance. Power Analysis Attacks: Revealing the Secrets of Smart Cards is the first comprehensive treatment of power analysis attacks and countermeasures. Based on the principle that the only way to defend against power analysis attacks is to understand them, this book explains how power analysis attacks work. Using many examples, it discusses simple and differential power analysis as well as advanced techniques like template attacks. Furthermore, the authors provide an extensive discussion of countermeasures like shuffling, masking, and DPA-resistant logic styles. By analyzing the pros and cons of the different countermeasures, this volume allows practitioners to decide how to protect smart cards. Smart cards are used as ATM cards, credit cards, SIM cards, signature cards, pay TV cards and citizen cards. The security of these cards is of crucial importance. Power Analysis Attacks and Countermeasures for Cryptographic Smart Cards provides a unified overview andcomparison of power analysis attacks and countermeasures to protect this technology. The pros and cons of different countermeasures are analyzed in order to help decide how to protect our card devices against power analysis attacks.Power Analysis Attacks and Countermeasures for Cryptographic Smart Cards is designed for researchers and graduate-level students in computer science. This book is also suitable for practitioners in industry.
A revolution of intelligent machines, from self-driving cars to smart digital assistants, is now remaking our world, just as the Industrial Revolution remade the world of the 19th century. AI is used to diagnose and treat cancer, detect fraud, save energy, and make new discoveries. AI is not some science-fiction droid from the future. It´s right here, right now, and it´s changing our lives at lightning-fast speed. Many of these changes offer great promise, including freedom from drudgery, safer workplaces, better health care, and fewer language barriers. But others elicit worry - whether about jobs, data privacy, or the prospect of machines making biased decisions with no accountability. In AIQ, authors Nick Polson and James Scott, both experts in the field, show us how to make sense of these accelerating trends. This book is based on a simple premise: if you want to understand the modern world, you must learn about how these intelligent machines really work. AIQ will teach you how to speak the mathematical language of AI - but in an approachable manner, one anchored in storytelling rather than equations. Along the way, you will meet a fascinating cast of historical characters who have a lot to say about data, probability, and better thinking - and whose tried-and-true ideas are powering the AI revolution, as they play out in the modern age of big data. Finally, AIQ explains how these technologies can help you to overcome some of your own built-in cognitive weaknesses, giving you a chance to lead a life of greater happiness, efficiency, and fulfillment.
Trade paperback. The fundamentals of the DAX language required for business intelligence, data modelling and analytics are presented by specialist trainer Ferrari and founder of DevLeap Russo.
The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations.
Silverlight is Microsoft´s breakthrough technology for creating rich experiences on the web. This book illustrates the power of Silverlight as a graphics, animation, and game-creation tool. It teaches the fundamentals of computer animation, using trigonometry and vector movement before moving on to more advanced topics such as physics modeling and particle systems. With full code examples for all types of animation and interaction, this is an invaluable resource for both Silverlight beginners and more advanced users. Fully updated for Silverlight 3 See the power of Silverlight in action Learn the building blocks of animation in Silverlight 2
Information Retrieval is at the core of our daily lives. Modern search, ranking and indexing systems underpinned by enhanced computing power, fast network speeds and near unlimited data storage capacity mean we have easy access to all the information we need, when we need it. Yet the principles upon which this modern technology based date back to before the 1960s. In this concise history of the early years of Information Retrieval, Donna Harman, one of the pioneers of the field, provides the reader with a plethora of insights into the important work that led us to where we are today. Written in a chronological order and in a manner that presents the technical context, the research and the early commercialization efforts, it lays out how each contribution built on what went before. The reader is offered a text that is not only a delight to read, but is also insightful in the way the technologies evolve as computing power increases. Information Retrieval: The Early Years will be of interest to everyone with an interest in understanding the foundations of the science behind search engines.