Books by Ted Dunning

Many big data-driven companies today are moving to protect certain types of data against intrusion, leaks, or unauthorized eyes. But how do you lock down data while granting access to people who need to see it? In this practical book, authors Ted Dunning and Ellen Friedman offer two novel and practical solutions that you can implement right away.Ideal for both technical and non-technical decision makers, group leaders, developers, and data scientists, this book shows you how to:Share original data in a controlled way so that different groups within your organization only see part of the whole. Youll learn how to do this with the new open source SQL query engine Apache Drill.Provide synthetic data that emulates the behavior of sensitive data. This approach enables external advisors to work with you on projects involving data that you can't show them.If youre intrigued by the synthetic data solution, explore the log-synth program that Ted Dunning developed as open source code (available on GitHub), along with how-to instructions and tips for best practice. Youll also get a collection of use cases.Providing lock-down security while safely sharing data is a significant challenge for a growing number of organizations. With this book, youll discover new options to share data safely without sacrificing security.

If youre a business team leader, CIO, business analyst, or developer interested in how Apache Hadoop and Apache HBase-related technologies can address problems involving large-scale data in cost-effective ways, this book is for you. Using real-world stories and situations, authors Ted Dunning and Ellen Friedman show Hadoop newcomers and seasoned users alike how NoSQL databases and Hadoop can solve a variety of business and research issues.Youll learn about early decisions and pre-planning that can make the process easier and more productive. If youre already using these technologies, youll discover ways to gain the full range of benefits possible with Hadoop. While you dont need a deep technical background to get started, this book does provide expert guidance to help managers, architects, and practitioners succeed with their Hadoop projects.Examine a day in the life of big data: Indias ambitious Aadhaar projectReview tools in the Hadoop ecosystem such as Apaches Spark, Storm, and Drill to learn how they can help youPick up a collection of technical and strategic tips that have helped others succeed with HadoopLearn from several prototypical Hadoop use cases, based on how organizations have actually applied the technologyExplore real-world stories that reveal how MapR customers combine use cases when putting Hadoop and NoSQL to work, including in production

This O'Reilly report uses practical example to explain how the underlying concepts of anomaly detection work.

Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis.