An informal discussion about Azure Data

 
English Intermediate AI & Machine Learning

From CosmosDB to Cognitive Search, Synapse to SQL Pools, Mongo DB to Managed Instances, Data Bricks to Data Factory Azure Machine Learning to Azure Open Datasets there is a wide range of capabilities that make up Azure Data. This session is designed to be an informal discussion of these capabilities and my experience in using them.

Speaker

Lele Vishwas

CTO Applied Information Sciences / Azure MVP

Vishwas Lele serves as the CTO at Applied Information Sciences, Inc. Based on his firm belief that public cloud is becoming the backbone of *all* IT, Vishwas assists organizations with envisioning, planning and realizing their public cloud objectives. Vishwas brings close to 30 years of experience and thought leadership to his position. A noted industry speaker (Channel9, Ignite, VSLive) and author (Pluralsight & books) Vishwas also serves as the Microsoft Regional Director for Washington D.C. and has been a recipient of the Azure MVP award for the last five years. Vishwas is also the creator of several tools and apps including Netizen, MyFOIA, Media Center App, WAMS Manager, Excel Calc Engine, and Azure Service Catalog.

Code of Conduct

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Code of Conduct for local live streams

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A good template can be found at https://confcodeofconduct.com/, including internationalized versions at https://github.com/confcodeofconduct/confcodeofconduct.com. An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at https://dddeurope.com/2020/coc/.