IT & Cyber Security: Big Data

Alteryx Designer: The Definitive Guide (2023) by Joshua Burkhow Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and business analysts can deliver results in hours instead of weeks.

The Big Data Agenda (2018) by Annika Richterich This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis.

Big Data in Context (2018) by Thomas Hoeren, Barbara Kolany-Raiser This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. It features legal, sociological and economic approaches to fundamental big data topics such as privacy, data quality and the ECJ’s Safe Harbor decision on the one hand, and practical applications such as smart cars, wearables and web tracking on the other.

Consumer Data Research (2018) by James Cheshire, Paul Longley, Alex Singleton Big Data collected by customer-facing organisations – such as smartphone logs, store loyalty card transactions, smart travel tickets, social media posts, or smart energy meter readings – account for most of the data collected about citizens today. As a result, they are transforming the practice of social science.

The Datafied Society (2017) by Mirko Tobias Schäfer (Editor); Karin van Es (Editor) As machine-readable data comes to play an increasingly important role in everyday life, researchers find themselves with rich resources for studying society. The novel methods and tools needed to work with such data require not only new knowledge and skills, but also a new way of thinking about best research practices.

Digital Objects, Digital Subjects (2019) by David Chandler (Editor); Christian Fuchs (Editor) This volume explores activism, research and critique in the age of digital subjects and objects and Big Data capitalism after a digital turn said to have radically transformed our political futures. Optimists assert that the 'digital' promises: new forms of community and ways of knowing and sensing, innovation, participatory culture, networked activism, and distributed democracy.

Essential Math for AI (2023) by Hala Nelson Companies are scrambling to integrate AI into their systems and operations. But to build truly successful solutions, you need a firm grasp of the underlying mathematics. This accessible guide walks you through the math necessary to thrive in the AI field such as focusing on real-world applications rather than dense academic theory.

Exam Ref SC-900 Microsoft Security, Compliance, and Identity Fundamentals (2024) by Yuri Diogenes; Nicholas DiCola; Mark Morowczynski; Kevin McKinnerney Designed for business stakeholders, new and existing IT professionals, functional consultants, and students, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Security, Compliance, and Identity Fundamentals level.

Machine Learning for High-Risk Applications (2023) by Patrick Hall, James Curtis, Parul Pandey The past decade has witnessed the broad adoption of artificial intelligence and machine learning (AI/ML) technologies. However, a lack of oversight in their widespread implementation has resulted in some incidents and harmful outcomes that could have been avoided with proper risk management. Before we can realize AI/ML's true benefit, practitioners must understand how to mitigate its risks.