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Sharing Big Data Safely
Ted Dunning
€ 27.08
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Description for Sharing Big Data Safely
Paperback. 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. Num Pages: 96 pages, colour illustrations. BIC Classification: UN; UR; UTN. Category: (G) General (US: Trade). Dimension: 152 x 231 x 10. Weight in Grams: 156.
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. You'll learn how ... Read more
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. You'll learn how ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
O´Reilly Media
Condition
New
Number of Pages
96
Place of Publication
Sebastopol, United States
ISBN
9781491952122
SKU
V9781491952122
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-1
About Ted Dunning
Ted Dunning is Chief Applications Architect at MapR Technologies and active in the open source community.He currently serves as VP for Incubator at the Apache Foundation, as a champion and mentor for a large number of projects, and as committer and PMC member of the Apache ZooKeeper and Drill projects. He developed the t-digest algorithm used to estimate extreme quantiles. ... Read more
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