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.
This O'Reilly report uses practical example to explain how the underlying concepts of anomaly detection work.
The narrative focuses on the experiences of Polish Jews who survived World War II not through concentration camps, but by enduring exile in Stalin's remote prison settlements and Gulags. With less than ten percent of Polish Jews emerging alive, this account highlights the struggles and resilience of those who faced Soviet exile as their primary means of survival. Ellen G. Friedman's work, "The Seven, A Family Holocaust Story," poignantly captures the impact of this displacement on families and individuals during a harrowing period in history.
This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities.
Authors Ted Dunning and Ellen Friedman (Real World Hadoop) help you explore some of the best technologies to handle stream processing and analytics, with a focus on the upstream queuing or message-passing layer.
Nurturing the Natural Laws of Peace is founded on the idea of international law based on co-operation, social, economic, and political human rights, as enshrined in the UN charter. A new concept of natural law is seen to be fundamental to this aim. It is an idea that has been around for over two thousand years and could today provide us with a philosophy to live by and a sound basis of international and national morality, without which there can be no real peace.
If you’re 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. You’ll learn about early decisions and pre-planning that can make the process easier and more productive. If you’re already using these technologies, you’ll discover ways to gain the full range of benefits possible with Hadoop. While you don’t 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.
Machine learning offers a rich potential for expanding the way wework with data and the value we can mine from it. To do this well inserious production settings, it’s essential to be able to manage theoverall flow of data and work, not only in a single project, but alsoacross organizations.This book is for anyone who wants to know more about gettingmachine learning model management right in the real world,including data scientists, architects, developers, operations teams,and project managers. Topics we discuss and the solutions we proposeshould be helpful for readers who are highly experienced withmachine learning or deep learning as well as for novices. You don’tneed a background in statistics or mathematics to take advantage ofmost of the content, with the exception of evaluation and metricsanalysis.
