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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...

There's growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others. But analyzing data streams at scale has been difficult to do well--until now. This practical book delivers a deep introduction to Apache Flink, a highly innovative open source stream processor with a surprising range of capabilities.

Authors Ellen Friedman and Kostas Tzoumas show technical and nontechnical readers alike how Flink is engineered to overcome significant tradeoffs that have limited the...

Finding Data Anomalies You Didn't Know to Look For

Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what "suspects" you're looking for. This O'Reilly report uses practical examples to explain how the underlying concepts of anomaly detection work.

From banking security to natural sciences, medicine, and marketing, anomaly detection has many useful applications in this age of big data....

More and more data-driven companies are looking to adopt stream processing and streaming analytics. With this concise ebook, you'll learn best practices for designing a reliable architecture that supports this emerging big-data paradigm.

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. To illustrate the effectiveness of these technologies, this book also includes specific use cases.

Ideal for developers and...

• traditional medications, including the overuse of antibiotics
...

These nineteen essays introduce the rich and until now largely unexplored tradition of women's experimental fiction in the twentieth century. The writers discussed here range from Gertrude Stein to Christine Brooke-Rose and include, among others, Virginia Woolf, Jean Rhys, Jane Bowles, Marguerite Young, Eva Figes, Joyce Carol Oates, and Marguerite Duras. "Friedman and Fuchs demonstrate the breadth of their research, first in their introduction to the volume, in which they outline the history of the reception of women's experimental fiction, and analyze and categorize the work not only of...

These nineteen essays introduce the rich and until now largely unexplored tradition of women's experimental fiction in the twentieth century. The writers discussed here range from Gertrude Stein to Christine Brooke-Rose and include, among others, Virginia Woolf, Jean Rhys, Jane Bowles, Marguerite Young, Eva Figes, Joyce Carol Oates, and Marguerite Duras. "Friedman and Fuchs demonstrate the breadth of their research, first in their introduction to the volume, in which they outline the history of the reception of women's experimental fiction, and analyze and categorize the work not only of...

Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings--and demonstrates how even a small-scale development team can design an effective large-scale recommendation system.

Apache Mahout committers Ted Dunning and Ellen Friedman walk you through a design that relies on careful simplification. You'll learn how to collect the right data, analyze it with an algorithm from the Mahout library, and then easily deploy...

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...