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Webinar: Time-Series Data in MongoDB

by on Jan 15, 2014

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Time series data can be found everywhere around you, from financial markets to social networks to sensors. There are a multitude of sources of time series data but they have some common attributes: ...

Time series data can be found everywhere around you, from financial markets to social networks to sensors. There are a multitude of sources of time series data but they have some common attributes: large in volume, ordered by time, and primarily aggregated for access. Time series data is a great fit for MongoDB and in this webinar we will take a closer look at how to model time series data in MongoDB by exploring the schema of a tool that has become very popular in the community: MongoDB Management Service (MMS). We'll walk through different schema design considerations and how those impact the features and functionality of MMS and review workload differences across different designs.

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  • dagarwal821 Deepak Agarwal, Team leader at Paxcel Technologies Pvt Ltd On slide 35 you have ' Does it work with the chosen schema design?' . What is the answer to that ? And how can we use aggregation framework for this schema. Can you share some views on this. 4 weeks ago
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Webinar: Time-Series Data in MongoDB Webinar: Time-Series Data in MongoDB Presentation Transcript