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Decodable Streaming with Eric Sammer

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Conteúdo fornecido por Data Archives - Software Engineering Daily. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Data Archives - Software Engineering Daily ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Streaming data platforms like Kafka, Pulsar, and Kinesis are now common in mainstream enterprise architectures, providing low-latency real-time messaging for analytics and applications. However, stream processing – the act of filtering, transforming, or analyzing the data inside the messages – is still an exercise left to the receiving microservice or datastore, a custom programming exercise likely repeated over and over within an application. Stream processing tools such as Apache Flink and ksqlDB have been around for half a decade, but their complexity has hindered adoption. Decodable’s mission is to radically simplify processing on the stream with a SaaS platform based on Flink, and using only SQL which frees up developers to focus on what matters most.

Eric Sammer is founder and CEO of Decodable and joins the show to discuss the potential of stream processing, its role in modern data platforms, and how it’s being used today.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Decodable Streaming with Eric Sammer appeared first on Software Engineering Daily.

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231 episódios

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iconCompartilhar
 
Manage episode 339957158 series 1437556
Conteúdo fornecido por Data Archives - Software Engineering Daily. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Data Archives - Software Engineering Daily ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

Streaming data platforms like Kafka, Pulsar, and Kinesis are now common in mainstream enterprise architectures, providing low-latency real-time messaging for analytics and applications. However, stream processing – the act of filtering, transforming, or analyzing the data inside the messages – is still an exercise left to the receiving microservice or datastore, a custom programming exercise likely repeated over and over within an application. Stream processing tools such as Apache Flink and ksqlDB have been around for half a decade, but their complexity has hindered adoption. Decodable’s mission is to radically simplify processing on the stream with a SaaS platform based on Flink, and using only SQL which frees up developers to focus on what matters most.

Eric Sammer is founder and CEO of Decodable and joins the show to discuss the potential of stream processing, its role in modern data platforms, and how it’s being used today.

Sponsorship inquiries: sponsor@softwareengineeringdaily.com

The post Decodable Streaming with Eric Sammer appeared first on Software Engineering Daily.

  continue reading

231 episódios

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