Introduction to cloud computing and the Azure Datalake - Two guest lectures by Tor Kreutzer and Jan-Ove Karlberg, Microsoft
Jan-Ove Karlberg has been a software engineer at Microsoft for the last three years. He received his M.S from The Arctic University of Tromsø in 2014. While at Microsoft, most of his time has been spent working on cloud services that handle huge amounts of data, serve queries with very low latency, or both. He currently resides in Tromsø, Norway – one of very few places where it is possible to live within walking distance of a major tech company.
These two guest lectures gives an introduction to cloud computing and the Azure Datalake, and is a part of the class INF-2202 Concurrent and Data-Intensive Programming. More information: https://inf-2202-f17.github.io/. We also want to invite our academic staff, PhDs, and (master level) students.
Academic (professional) contact person is associate professor Lars Ailo Bongo.
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Lecture 1
Lecturer: Software enginerers Tor Kreutzer and Jan-Ove Karlberg, Microsoft
Date: Thursday October 12th, 14:15 - 16:00
Place: Lille Aud (B203), Realfagsbygget, Campus Tromsø
Title: " Cloud services: Monitoring, data, and analytics "
Abstract
In the first lecture, we give an introduction and motivation for the use of cloud services and how it influences the software architecture. We also describe a monitoring architecture for distributed cloud services, and how to manage large scale telemetry log-data. Finally, we will introduce and motivate Azure Datalake (ADL) and U-SQL, and demonstrate how to use ADL and U-SQL.
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Lecture 2
Lecturer: Software enginerers Tor Kreutzer and Jan-Ove Karlberg, Microsoft
Date: Thursday October 19th, 14:15 - 16:00
Place: Lille Aud (B203), Realfagsbygget, Campus Tromsø
Title: " Getting the most out of cloud service logs "
Abstract
The lecture covers means to organize and use cloud service telemetry data. We will cover topics such as:
- choosing the right schema for automated processing
- how logs can be uploaded to centralized storage/compute repositories
- how privacy and accountability can be maintained
The lecture will feature both slideware and running code.
