The Data Revolution: Big Data, Open Data, Data Infrastructures and Their Consequences

The Data Revolution examines the rapid transformation of data production, analysis, storage, and application in the modern world. The book provides a critical analysis of how big data, open data, and data infrastructures are reshaping business, governance, and everyday life. Kitchen and Thrift investigate the technical and organizational frameworks that enable new forms of data collection and processing. They explore the shift from small data paradigms to the current landscape of massive, continuous, and varied data streams generated through digital systems and sensors. The authors assess both the opportunities and risks presented by emergent data practices, including privacy concerns, algorithmic governance, and the commercialization of personal information. The work addresses real-world examples from science, business, government, and social media. This analysis reveals the deep connections between data systems and fundamental changes in how power, knowledge, and value are created in contemporary society. The book serves as an essential framework for understanding the social and technical dimensions of the ongoing data revolution.

Readers describe this as a comprehensive academic examination of data's role in society, with detailed analysis of data infrastructures and practices. The book provides theoretical frameworks and critical perspectives on big data. Liked: - Clear explanations of complex technical concepts - Strong theoretical foundation and academic rigor - Extensive references and bibliography - Balanced view of data's benefits and drawbacks Disliked: - Dense academic writing style - Heavy focus on theory over practical applications - Some sections are repetitive - Limited coverage of specific case studies Ratings: Goodreads: 3.9/5 (43 ratings) Amazon: 4.3/5 (12 reviews) One academic reviewer noted: "The book offers a much-needed critical perspective on data practices, though the writing can be challenging for non-academic readers." A data scientist on Goodreads commented: "Great theoretical background but could use more real-world examples."

Big Data: A Revolution That Will Transform How We Live, Work, and Think by Viktor Mayer-Schönberger, Kenneth Cukier This book examines the societal and economic implications of big data through case studies and research into how data collection transforms business, government, and healthcare.

Raw Data Is an Oxymoron by Lisa Gitelman The text explores how data is never truly "raw" but always shaped by social, political, and technological factors that influence its collection and interpretation.

Privacy in Context: Technology, Policy, and the Integrity of Social Life by Helen Nissenbaum This work presents a framework for understanding privacy issues in the digital age and examines how data collection affects social norms and personal freedoms.

Cloud Computing: Concepts, Technology & Architecture by Thomas Erl, Ricardo Puttini, and Zaigham Mahmood The book provides a technical foundation for understanding the infrastructure that enables big data processing and storage systems.

The Platform Society: Public Values in a Connective World by José van Dijck, Thomas Poell, and Martijn de Waal This analysis investigates how digital platforms and their data collection practices reshape social institutions and public infrastructure.

🔹 Rob Kitchin has been awarded the Royal Irish Academy's Gold Medal for Social Sciences, one of Ireland's highest scholarly honors, for his groundbreaking work on data and digital geographies. 🔹 The book examines how "data brokers" collect and trade personal information, managing databases containing details about hundreds of millions of people, with the industry generating over $200 billion annually. 🔹 Prior to the "data revolution" discussed in the book, it took from the beginning of civilization until 2003 to create 5 exabytes of data - now we create that same amount every two days. 🔹 The concept of "small data" explored in the book refers to data that is small enough to be comprehensible to humans, like traditional spreadsheets and databases, in contrast to big data which requires machine processing. 🔹 Author Rob Kitchin developed one of the first real-time city dashboards, the Dublin Dashboard, which collects and visualizes data about the city's performance, environment, and demographics.