Stop! Don't Make These Mistakes in Your Document Database
Language
English
Level
Intermediate
Length
39 minutes
Type
online conference
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About
Big Data • March 2021
Stop! Don't Make These Mistakes in Your Document Database
As Daniel Tiger wisely sings, "It's okay to make mistakes. Try to fix them, and learn from them too." Come learn common mistakes developers make as they model their data in document databases. You'll leave this session ready to spot and correct four common document database schema design anti-patterns.
About speaker
Lauren Schaefer
Staff Developer AdvocateMongoDB
Lauren Hayward Schaefer is a developer advocate for MongoDB. She began her career as a software engineer for IBM where she held a variety of roles including full-stack developer, test automation specialist, social media lead, and growth hacking engineer. She is an international speaker who is skilled in taking hard-to-understand topics and making them seem simple. Lauren holds a BS and MS in Computer Science from North Carolina State University and is the co-inventor of thirteen issued United States patents.
Details
Language
English
Level
Intermediate
Length
39 minutes
Type
online conference
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