University of Cambridge > Talks.cam > Technical Talks - Department of Computer Science and Technology  > Big Data & Microsoft Office: How Office uses Big Data to understand Usage, Errors and Reliability

Big Data & Microsoft Office: How Office uses Big Data to understand Usage, Errors and Reliability

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Microsoft eliminated the need to spend countless hours in manual software testing and uses customer insights and big data instead to improve the product. Cosmos is Microsoft’s Big Data repository built on top of Azure. All of Microsoft telemetry and insights data are uploaded and extracted from Cosmos. It is used to understand usage patterns to better design a feature.

How concepts of experimentation and A/B testing are used to expose different feature sets to different customer segments. Improve reliability and availability of our features and applications – understanding crashes and errors and collecting and analyzing data remotely.

The concept of ‘dogfooding’ is very big and widely used in Microsoft. Microsoft takes pride in introducing the concept of dogfooding and widely revered by other companies. It is now being adopted in other companies too. What is dogfooding, how do we do it, the process, bugs found, fixed rate.

Few case studies and example of how Office used Big Data to improve the overall experience given to end user customers.

This talk is part of the Technical Talks - Department of Computer Science and Technology series.

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