In a career full of ‘blond ambition’, with controversy never far away, the music of Madonna has often been overshadowed, if not sorely overlooked. Across 14 albums, soundtracks and numerous greatest hits collections, the undisputed Queen of Pop has released over 80 singles spanning five decades. In this book every released track from her extensive back catalogue is examined in detail, with new insights, revelations and video information. Her role as ‘Queen of Clubs’ is also duly acknowledged, making careful note of the important remixes that have helped her rule the dance floor after her first release 40 years ago in 1982, ‘Everybody’, got her firmly into the groove. From 1984’s shiny and new ‘Like A Virgin’, to the critical acclaim of 1989’s expressive ‘Like A Prayer’ and 1998’s enlightening ‘Ray of Light’, from soundtrack work for ‘Dick Tracy’ and ‘Evita’, to collaborations with superstars Justin Timberlake, Britney Spears, and Dua Lipa, this truly strikes a pose for any fan of the ‘Material Girl’ aka ‘Madame X’. ‘Madonna: Song By Song’ reclaims her stature as not just one of the greatest pop artists ever, but also as songwriter/producer of some of the biggest selling and most memorable songs of all time.

Visual messages are omnipresent in our daily life. They are constantly attempting to persuade us to buy, learn and act. Some are more successful than others in influencing our behaviour and choices. What is the secret power of these messages? How do they succeed in changing our behaviour? This book analyzes advertising beyond the persuasive power of the imagery itself. It explains the psychology behind 33 effective influence techniques in visual persuasion and how to apply them. The book is co-authored by leading figures in social influence and visual persuasion. It is designed as an accessible modern reference book for creating and understanding persuasive visual imagery. "You'll never look at an ad, an online shopping site or product packaging the same way again." - Nextavenue.org

From 'Neighbours' TV teen queen to Stock Aitken Waterman's megastar, the rise of Kylie Minogue to the top of the charts is one of the biggest smash hit success stories in pop music. Across 15 studio albums her transition from SexKylie (with help from Michael Hutchence) to IndieKylie (thanks to Nick Cave and Manic Street Preachers), then to undisputed Princess of Pop (courtesy of the irresistible 'Can't Get You Out Of My Head') proved she was not just an actress, a singer and a remarkable live performer (including Glastonbury Goddess), but a true global superstar. After successfully beating cancer, Kylie returned to the top with several big-selling albums, including the critically lauded 'The Abbey Road Sessions', festive fave 'Kylie Christmas' and 2020's history-making 'Disco'. This book is an exhaustive "step back in time" through her complete 'Katalogue' across five poptastic decades. Every released track and collab from her 300+ song catalogue - many self-penned or co-written - over 35 years is examined in detail with new insights, revelations & vital video/remix information. 'Kylie: Song By Song' celebrates this unique artist's truly remarkable and unparalleled career and is a must-have for every dedicated fan of the lucky, lucky, lucky Australian pop princess.

Gain insight into how to govern and consume IBM's unique in-motion and at-rest Big Data analytic capabilitiesA. R. Ammons once said, "A word too much repeated falls out of being", and although the term Big Data sometimes seems to be "too much repeated", it's not about to fall "out of being". That said, it is subject to a lot of hype. The term Big Data is a bit of a misnomer. Truth be told, we're not even big fans of the term--despite the fact that it is so prominently displayed on the cover of this book--because it implies that other data is somehow small (it might be) or that this particular type of data is large in size (it can be, but doesn't have to be). This is 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. The Big Data opportunity. It's a shift, rift, lift, or cliff for your business--this book is going to help you experience the shift and lift, while those that don't work to get beyond the hype end up in a rift or cliff. In this book you will learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. You'll learn how Big Data needs a "ground-to-cloud" architecture, what a Data Refinery looks like, and theimportance of a next generation data platform. Gain an understanding of the concepts of data-in-motion, data-at-rest (technologies like Hadoop play here, as well as others), the role that NoSQL and polyglot play in a leading edge analytics architecture, and more. Get details about the Big Data platform manifesto and why it is a must for any Big Data project. Capturing, storing, refining, transforming, governing, securing, and analyzing data, traditionally or as a service, are important topics alsocovered in this book.

Reading this book is nothing like you have read before. It's a story about a young man and his friend, or what he believed to be his friend. Many different events will come and go. As the reader, in the end it's up to you to tell what was right, or what was wrong. People always have something to say. This is your chance to judge or be judged.We can't wait to meet you.