Using logs to build a solid data infrastructure (or: why dual writes are a bad idea)
This is an edited transcript of a talk I gave at the Craft Conference 2015. The video and slides are also available.
This is an edited transcript of a talk I gave at the Craft Conference 2015. The video and slides are also available.
The rise in schema-free and document-oriented databases has led some to question the value and necessity of schemas. Schemas, in particular those following the relational model, can seem too restrictive,
This is an edited transcript of a talk given by Alan Woodward and Martin Kleppmann at FOSDEM 2015. Traditionally, search works like this: you have a large corpus of documents,
This is the second part of our guide on streaming data and Apache Kafka. In part one I talked about the uses for real-time data streams and explained the concept of
Data systems have mostly focused on the passive storage of data. Phrases like “data warehouse” or “data lake” or even the ubiquitous “data store” all evoke places data goes to
Some people call it stream processing. Others call it event streaming, complex event processing (CEP), or CQRS event sourcing. Sometimes, such buzzwords are just smoke and mirrors, invented by companies
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