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Data science horror stories.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Video
Contributor:
Croll, Alistair, presenter.
Bentley-Falcke, Dean, presenter.
Gesher, Ari, presenter.
O'Reilly (Firm)
Language:
English
Subjects (All):
Databases.
Computer science.
Streaming video.
Physical Description:
1 online resource (1 video file (1 hr., 35 min.)) : sound, color.
Edition:
[First edition].
Place of Publication:
[Place of publication not identified] : O'Reilly Media, Inc., 2023.
Summary:
The amount of data being produced daily is astonishing; and the stakes for managing and protecting this data is more significant than ever before. The mishandling of data can lead to horrifying consequences. Data security, privacy, and ethical practices must be a priority to avoid these catastrophes in the first place. Join us and leading data practitioners for this special Halloween event. Hear about some of the scariest data horror stories faced in business today. Learn the mistakes, the consequences, and most importantly, the preventive measures and solutions to these nightmares if you're ever haunted by them. What you'll learn and how you can apply it: Understand the importance of schema changes and how to avoid crashes that can be fatal to your transactions and multigigabyte data stores Learn tips and tricks on how to upgrade your database without errors and pitfalls This course is for you because: You're a data practitioner who wants to discover common data science mistakes and learn how to avoid them in your organization. You're a technology leader looking to avoid the common pitfalls that occur with new technology rollouts. Recommended follow-up: Read High Performance MySQL, fourth edition (book) Read Practical Data Privacy (book).
Notes:
OCLC-licensed vendor bibliographic record.
"Live courses."
OCLC:
1409433895
Publisher Number:
0636920970866

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