I recently presented at DotNetConf 2013 on how to make the paradigm shift from the relational data world like SQL to the non-relational world of Azure Storage. I had a lot of fun giving the talk. This was my first public technical speaking event, so any constructive feedback is very welcome!
In the talk I discuss:
- A quick overview of Azure Storage with a focus on Table Store
- The trade off between scale and consistency in Azure Table
- The importance of Table Partitions in Azure Table
- A Code example of a Simple Stats Storage Layer in SQL and Azure.
- The benefits of Immutable data, and how you can realistically implement this
- Using the Saga Pattern for distributed or long running transactions
The Slides for the Presentation are posted on SpeakerDeck
All of the code I use in my slides is available on GitHub.
Resources & References
If you want to dig in deeper. Below is a great list of resources. Also I include Links to the quotes and papers I referenced in my talk.
Relational vs Non-Relational
Getting Started with Azure Table
- How to Use Table Storage Service
- Real World: Designing a Scalable Partitioning Strategy for Windows Azure Table Storage
Saga Pattern
- Sagas (paper) by Hector Garcia-Molina (1987)
- Clarifying the Saga Pattern (blog post)by Kelly Sommers
- Sagas (blog post) by Clemens Vasters
Immutable Data:
- Human Fault Tolerance (video) Nathan Marz @ StrataConf2013
Google Spanner
- Google Spanner Paper (paper) by James C Corbett et al.
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