SKU: 1350120416

Sharing Big Data Safely: Managing Data Security

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Description

Sharing Big Data Safely: Managing Data SecurityMany 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

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 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.About the AuthorTed Dunning is Chief Applications Architect at MapR Technologies and active in the open source community.

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SKU: 1350120416

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yoel sosa
Los Angeles, US
★★★★★ 5
Me gustó
Size: 35W x 31L, Color: Purple
Me encantó como se ve y se ajusta a la talla.
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Reviewed in the United States on June 5, 2026
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Irvin T.
Alexandria, US
★★★★★ 3
Color is awesome but material isn’t.
Size: 34W x 32L, Color: Blue, Size: 34W x 32L, Color: Blue
The color is pretty much as advertised. I wear a 33 so I order up a size and they were both too long and too big. Instead of returning them I washed them and put them in the dryer. The length after washing turned out perfect but the waist is still a little too big. It should also be noted that the quality of the material isn’t the best. After washing them this is how the pockets will look. You have to iron them each time to get them flat again. I would buy again because of the variety of colors but only at a cheaper price.
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Reviewed in the United States on September 15, 2025
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Mike
Bozeman, US
★★★★★ 5
Runs small
Size: 36, Color: Khaki
The jeans are a nice color, and length… they run SMALL… I wear a 33-34 and bought a 36. They were skin tight but breathable material… I sent them back to order a 38
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Reviewed in the United States on May 5, 2026
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Tenacious
Dallas, US
★★★★★ 5
I’m happy with the jeans
Size: 40, Color: Pink
I am very satisfied with this purchase. A lot of compliments too. They fit well, stretch to the material but the skinny fit look. The quality so far is great.
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eddie r.
Belleville, US
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Comfortable Jeans
Size: 38, Color: Khaki
Excellent pair of jeans. Super comfortable
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Reviewed in the United States on April 17, 2026

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