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#155 David Guida, Event Sourcing

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Manage episode 297627834 series 2414914
Innhold levert av no dogma podcast and Bryan Hogan. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av no dogma podcast and Bryan Hogan eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Summary

David Guida and I discuss event sourcing, what it is, its uses and drawbacks, and how to get started.

Details

Who he is, what he does. Overview of event sourcing, everything is an event, aggregates and domain driven design. A practical example; multiple subscribers; the query model and storing calculated data. Why not use a database. Correcting an error in a historical event. Using the stream on a new application. Scenarios where event sourcing applies. Technologies to use, Event Store, Marten, Apache Kafka, CosmosDb. Using Azure. Versioning data, and changing shapes of data. Libraries to make this easier. Future of event sourcing. How to get started. How to find David.

Support this podcast

Full show notes
@DavideGuida82
David's Homepage

  continue reading

173 episoder

Artwork

#155 David Guida, Event Sourcing

no dogma podcast

167 subscribers

published

iconDel
 
Manage episode 297627834 series 2414914
Innhold levert av no dogma podcast and Bryan Hogan. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av no dogma podcast and Bryan Hogan eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

Summary

David Guida and I discuss event sourcing, what it is, its uses and drawbacks, and how to get started.

Details

Who he is, what he does. Overview of event sourcing, everything is an event, aggregates and domain driven design. A practical example; multiple subscribers; the query model and storing calculated data. Why not use a database. Correcting an error in a historical event. Using the stream on a new application. Scenarios where event sourcing applies. Technologies to use, Event Store, Marten, Apache Kafka, CosmosDb. Using Azure. Versioning data, and changing shapes of data. Libraries to make this easier. Future of event sourcing. How to get started. How to find David.

Support this podcast

Full show notes
@DavideGuida82
David's Homepage

  continue reading

173 episoder

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