Modeling Data for NoSQL Document Databases

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Description

Application developers must support unprecedented rates of change – functionality must rapidly evolve to meet customer needs and respond to competitive pressures. To address these realities, developers are increasingly selecting NoSQL document-oriented databases (e.g. Azure DocumentDB, MongoDB, CouchDB) for schema-free, scalable and high performance data storage. One of the oft-cited benefits of NoSQL solutions are that they allow for the storage of schema less data. In reality, however, NoSQL solutions provide for schema flexibility, allowing the system to store data as it comes in, permitting dissimilar structures and encouraging seamless data model iteration. While schema flexibility makes it easy to embrace changes to your data model, data modeling is still important in NoSQL systems. In this session, we’ll discuss not only modeling data in Azure DocumentDB, but also migrating and transforming data from traditional, structured data environments.

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Data

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0

Session Type:

Pre-recorded

Code:

P468

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The Discussion

  • User profile image
    nhwilly

    Great.  Answered many questions I had right out of the box.

  • User profile image
    AnHund

    Thanks a lot. Really good video.

  • User profile image
    Pavi

    In the Normalized slide (time: 19:34), the "speakerId":1 where as the ids shown in below document is
    "Id":"speaker1".
    Not a major issue but thought of pointing that out.
    Thanks! for the great video.

  • User profile image
    Michael

    Nice Video with a lot of good examples that explain how-to use Azure DocumentDB.

    Thanks!

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