Incoming Resources
- Big data, understanding how data powers big business, Bill Schmarzo
- Data analytics with hadoop, an introduction for data scientists, Benjamin Bengfort and Jenny Kim
- The efficiency paradox, what big data can't do, Edward Tenner
- Getting started with data science, making sense of data with analytics, Murtaza Haider
- SAS Viya, the Python perspective, Kevin D. Smith, Xiangxiang Meng
- Devising a modern data strategy, using your data to drive business value, with John Akred, Edd Wilder-James, and Scott Kurth
- Learning Apache Spark 2, process big data with the speed of light!, Muhammad Asif Abbasi
- Development workflows for data scientists, Ciara Byrne
- Data and social good, using data science to improve lives, fight injustice, and support democracy, Mike Barlow
- Big data now, 2014 edition : current perspectives from O'Reilly Media
- SQL Server big data clusters, early first edition based on release candidate 1, Benjamin Weissman, Enrico van de Laar
- STOCHASTIC OPTIMIZATION FOR LARGE-SCALE MACHINE LEARNING
- New views, the world mapped like never before, Alastair Bonnett
- Dataclysm, love, sex, race, and identity-- what our online lives tell us about our offline selves, Christian Rudder
- The metric society, on the quantification of the social, Steffen Mau
- Apache Hadoop 3 quick start guide, learn about big data processing and analytics, Hrishikesh Vijay Karambelkar
- Advanced analytics in power BI with R and Python, ingesting, transforming, visualizing, Ryan wade
- Big data, using smart big data, analytics and metrics to make better decisions and improve performance, Bernard Marr
- Microsoft Azure data lake storage service, (Gen1 and Gen2), Eshant Garg
- Big data analytics for Internet of things, edited by Tausifa Jan Saleem, Mohammad Ahsan Chishti
- The human face of big data, produced by William Medsker, Sandy Smolan ; written & directed by Sandy Smolan
- Big data : how data analytics is transforming the world, Tim Chartier ; producer/editor, Maureen Tumulty, David White ; director, Jonathan D. Leven, Jim M. Allen
- Data and Goliath, the hidden battles to collect your data and control your world, Bruce Schneier
- R for data science, import, tidy, transform, visualize, and model data, Hadley Wickham and Garrett Grolemund
- The decoded company, know your talent better than you know your customers, Leerom Segal, Aaron Goldstein, Jay Goldman, and Rahaf Harfoush
- Confident data skills, master the fundamentals of working with data and supercharge your career, Kirill Eremenko
- Dataclysm, who we are when we think no one's looking, Christian Rudder
- Spark, the definitive guide : big data processing made simple, Bill Chambers and Matei Zaharia
- Sams teach yourself Hadoop in 24 hours, Jeffrey Aven
- Journey to power intelligent IT, big data employed, Mohamed Sohail, Denis Canty, Omar Aboulfotoh
- Think bigger, developing a successful big data strategy for your business, Mark van Rijmenam
- Bioinformatics data skills, reproducible and robust research with open source tools, Vince Buffalo
- Stream processing with Apache Flink, fundamentals, implementation, and operation of streaming applications, Fabian Hueske and Vasiliki Kalavri
- Streaming systems, the what, where, when, and how of large-scale data processing, Tyler Akidau, Slava Chernyak, Reuven Lax
- Strategic analytics and SAS, using aggregate data to drive organizational initiatives, Randall S. Collica
- Big data, storage, sharing, and security, edited by Fei Hu
- Does cloud storage portend creation by destruction of traditional storage?, Mikhail Gloukhovtsev
- Hadoop 2.x administration cookbook, administer and maintain large Apache Hadoop clusters, Gurmukh Singh
- Privacy in the modern age, the search for solutions
- Humanizing big data, marketing at the meeting of data, social science and consumer insight, Colin Strong
- Privacy in the modern age, the search for solutions, edited by Marc Rotenberg, Julia Horwitz, and Jeramie Scott
- Dark data, why what you don't know matters, David J. Hand
- Analyzing big data with Spark and Amazon EMR, learning to harness the power of cloud computing to analyze big data when you don't have a cluster of your own, with Frank Kane
- Restoring the soul of business, staying human in the age of data, Rishad Tobaccowala
- Using simulated experience to make sense of big data, Robin M. Hogarth, Emre Soyer
- Google BigQuery, the definitive guide : data warehousing, analytics, and machine learning at scale, Valliappa Lakshmanan and Jordan Tigani
- Pro data visualization using R and JavaScript, Tom Barker
- Practical business analytics using SAS, a hands-on guide, Venkat Reddy Konasani, Shailendra Kadre
- Data Analysis and Applications 3, Computational, Classification, Financial, Statistical and Stochastic Methods, by Andreas Makrides, Alex Karagrigoriou, Christos H. Skiadas
- Big Data--Fluch oder Segen?, Unternehmen im Spiegel gesellschaftlichen Wandels, Ronald Bachmann, Guido Kemper und Thomas Gerzer