Designing Data-Intensive Applications – Data Models: Relationships

While we continue to dig into Designing Data-Intensive Applications, we take a step back to discuss data models and relationships as Michael covers all of his bases, Allen has a survey answer just for him, and Joe really didn't get his tip from Reddit.

This episode's full show notes can be found at https://www.codingblocks.net/episode124, in case you're reading this via your podcast player, where you can be a part of the conversation.

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Survey Says

Which keyboard do you use?

Take the survey at: https://www.codingblocks.net/episode124.

News

• Thank you for the awesome reviews:
  • iTunes: Kampfirez, Ameise776, JozacAlanOutlaw, skmetzger, Napalm684, Dingus the First
• Get your tickets now for NDC { London }, January 27th – 31st, where you can kick Allen in the shins where he will be giving his talk, Big Data Analytics in Near-Real-Time with Apache Kafka Streams. (ndc-london.com)
• Hurry and sign up for the South Florida Software Developers Conference 2020, February 29th, where Joe will be giving his talk, Streaming Architectures by Example. This is a great opportunity for you to try to kick him in the shins. (fladotnet.com)
• The CB guys will be at the 15th Annual Orlando Code Camp & Tech Conference, March 28th. Sign up for your chance to kick them all in the shins and grab some swag. (orlandocodecamp.com)

Relationships … It's complicated

Normalization

• Relational databases are typically normalized.
  • A quick description of normalization would be associating meaningful data with a key and then relating data by keys rather than storing all of the data together.
• Normalization reduces redundancy and improve data integrity.
• Relational normalization has several benefits:
  • Consistent styling and spelling for meaningful values.
  • No ambiguity, even when text values are coincidentally the same, for example, Georgia the state vs Georgia the country.
  • Updating meaningful values is easy since there is only one spot to change.
  • Language localization support can be easier because you can associate different meaningful values with the same key for each supported language.
  • Search for hierarchical relationships can be easier, for example, getting a