Cosmos Db Azure Distributed Document Database by Clarke Bowers

We will explore Cosmos Db which is schema-less data storage. This includes exploring its storage structure, BSON document format and the MongoDb APIs. We will store, query and aggregate data using Python and .NET. We will compare traditional relational entity modeling to document modeling. We will also discuss sharding which is the partitioning method in Cosmos Db.

I will demonstrate an IoT device collecting gyroscopic data and sending to Azure IoT Hub. An Azure function will store the data in Cosmos Db from service bus. The demonstration will utilize C# and PowerBI.

Speaker Bio:
Clarke Bowers is a software engineer with 35 years of experience. He has architected and developed embedded systems, desktop applications, enterprise data warehouses, web sites and web services; cloud bases and locally hosted solutions. He hold six patents and runs his own consulting business, details can be found here: http://www.cbsoftwareengineering.com/.

The first database he created used Pascal on a PDP11 and he had to write the binary tree indexing code himself. Tables were limited to 65,536 records because that was the largest address possible on the 16-bit computer.