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Episodes in the history of data, from early modern math problems to today's inescapable “dataveillance,” that demonstrate the dependence of data on culture.We live in the era of Big Data, with storage and transmission capacity measured not just in terabytes but in petabytes (where peta- denotes a quadrillion, or a thousand trillion). Data collection is constant and even insidious, with every click and every “like” stored somewhere for something. This book reminds us that data is anything but “raw,” that we shouldn't think of data as a natural resource but as a cultural one that needs to be generated, protected, and interpreted. The book's essays describe eight episodes in the history of data from the predigital to the digital. Together they address such issues as the ways that different kinds of data and different domains of inquiry are mutually defining; how data are variously “cooked” in the processes of their collection and use; and conflicts over what can―or can't―be “reduced” to data. Contributors discuss the intellectual history of data as a concept; describe early financial modeling and some unusual sources for astronomical data; discover the prehistory of the database in newspaper clippings and index cards; and consider contemporary “dataveillance” of our online habits as well as the complexity of scientific data curation. Essay AuthorsGeoffrey C. Bowker, Kevin R. Brine, Ellen Gruber Garvey, Lisa Gitelman, Steven J. Jackson, Virginia Jackson, Markus Krajewski, Mary Poovey, Rita Raley, David Ribes, Daniel Rosenberg, Matthew Stanley, Travis D. Williams

Our memories are amazing and able to store some 2.5 petabytes of data—about 300 million hours of television programming. But how do we make memories, and why do we forget? What’s our memory like now, with our digital-era brains, and what can we do to build a better memory? All of these questions and more are answered in this new special edition from the editors of TIME, The Science of Memory. Herein, you’ll learn about the Time-Bending Magic of Smell, the Myths of Aging, and Why Sleeping on It Is Key for Memory. Activate your left brain, learning about the five key areas that aid our recollection—the Hippocampus, Amygdala, Prefrontal Cortex, Olfactory Bulb, and Hypothalamus—and your right brain, exploring why a whiff from your local restaurant may transport you back to your grandmother’s dining room. You’ll also learn Eight Unexpected Things That Mess with Your Memory, such as a high-fat diet and a vitamin B12 deficiency, as well as Six Funny Things You Can Do to Remember, like chewing gum or using a funny font—Comic Sans, anyone? All of this and more await inside: unlock the full potential of your mind with TIME The Science of Memory. Please note that this product is an authorized edition published by the Meredith Corporation and sold by Amazon. This edition is printed using a high quality matte interior paper and printed on demand for immediate fulfillment.

Our memories are amazing and able to store some 2.5 petabytes of data—about 300 million hours of television programming. But how do we make memories, and why do we forget? What’s our memory like now, with our digital-era brains, and what can we do to build a better memory? All of these questions and more are answered in this new special edition from the editors of TIME, The Science of Memory. Herein, you’ll learn about the Time-Bending Magic of Smell, the Myths of Aging, and Why Sleeping on It Is Key for Memory. Activate your left brain, learning about the five key areas that aid our recollection—the Hippocampus, Amygdala, Prefrontal Cortex, Olfactory Bulb, and Hypothalamus—and your right brain, exploring why a whiff from your local restaurant may transport you back to your grandmother’s dining room. You’ll also learn Eight Unexpected Things That Mess with Your Memory, such as a high-fat diet and a vitamin B12 deficiency, as well as Six Funny Things You Can Do to Remember, like chewing gum or using a funny font—Comic Sans, anyone? All of this and more await inside: unlock the full potential of your mind with TIME The Science of Memory. Please note that this product is an authorized edition published by the Meredith Corporation and sold by Amazon. This edition is printed using a high quality matte interior paper and printed on demand for immediate fulfillment.

Work with petabyte-scale datasets while building a collaborative, agile workplace in the process. This practical book is the canonical reference to Google BigQuery, the query engine that lets you conduct interactive analysis of large datasets. BigQuery enables enterprises to efficiently store, query, ingest, and learn from their data in a convenient framework. With this book, you’ll examine how to analyze data at scale to derive insights from large datasets efficiently.Valliappa Lakshmanan, tech lead for Google Cloud Platform, and Jordan Tigani, engineering director for the BigQuery team, provide best practices for modern data warehousing within an autoscaled, serverless public cloud. Whether you want to explore parts of BigQuery you’re not familiar with or prefer to focus on specific tasks, this reference is indispensable.

Episodes in the history of data, from early modern math problems to today's inescapable “dataveillance,” that demonstrate the dependence of data on culture.We live in the era of Big Data, with storage and transmission capacity measured not just in terabytes but in petabytes (where peta- denotes a quadrillion, or a thousand trillion). Data collection is constant and even insidious, with every click and every “like” stored somewhere for something. This book reminds us that data is anything but “raw,” that we shouldn't think of data as a natural resource but as a cultural one that needs to be generated, protected, and interpreted. The book's essays describe eight episodes in the history of data from the predigital to the digital. Together they address such issues as the ways that different kinds of data and different domains of inquiry are mutually defining; how data are variously “cooked” in the processes of their collection and use; and conflicts over what can―or can't―be “reduced” to data. Contributors discuss the intellectual history of data as a concept; describe early financial modeling and some unusual sources for astronomical data; discover the prehistory of the database in newspaper clippings and index cards; and consider contemporary “dataveillance” of our online habits as well as the complexity of scientific data curation. Essay AuthorsGeoffrey C. Bowker, Kevin R. Brine, Ellen Gruber Garvey, Lisa Gitelman, Steven J. Jackson, Virginia Jackson, Markus Krajewski, Mary Poovey, Rita Raley, David Ribes, Daniel Rosenberg, Matthew Stanley, Travis D. Williams