MongoDB Developer Day Mountain View at Microsoft - Day 2
Quando
Localização
- If you’re unable to access Codespaces, let your instructor know. They may have a laptop you can borrow.
- If Codespaces doesn't work, try cloning the GitHub repo and running the notebook locally. Instructions to do this are here.
- Data import not working? Download the dataset and ask an instructor to help you import the data using Compass.
- If you’re unable to access Codespaces, let your instructor know. They may have a laptop you can borrow.
- If Codespaces doesn't work, try cloning the GitHub repo and running the notebook locally. Instructions to do this are here.
- If you’re unable to access Codespaces, let your instructor know. They may have a laptop you can borrow.
- If Codespaces doesn't work, try cloning the GitHub repo and running the notebook locally. Instructions to do this are here.
- Data import not working? Download the dataset and ask an instructor to help you import the data using Compass.
Palestrantes
Michael Lynn is Principal Advocate at MongoDB. Previously, Michael worked as a Solutions Architect at MongoDB, helping users optimize MongoDB for scale and performance. Earlier, Michael was Vice President and Global Head of UNIX Engineering at a Fortune 50 Financial Services firm where he managed application and infrastructure platform engineering for the UNIX distributed server environment. Prior to that, Michael worked as an application developer, database administrator and as an infrastructure engineer across various companies and organizations.
Néstor is a Software Engineer with 25+ years of experience working with tradicional and document databases. As a Developer Advocate, he is helping developers become more productive and work faster with MongoDB
Apoorva is a Data Scientist turned Developer Advocate, with 6 years of experience applying Machine Learning to problems in Cybersecurity, including phishing detection, malware protection, and entity behavior analytics. As an AI Developer Advocate at MongoDB, she now helps developers successfully build AI applications via written content and hands-on workshops.
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