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blog.scaledcode.com | ||
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www.madewithtea.com
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| | | | | This article is about aggregates in stateful stream processing in general. I write about the differences between Apache Spark and Apache Kafka Streams along concrete code examples. Further, I list the requirements which we might like to see covered by a stream processing framework. | |
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glama.ai
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| | | | | Enables AI assistants to query and explore distributed data across EdgeLake nodes through SQL operations, resource discovery, and schema inspection. Supports complex queries with joins, aggregations, and metadata fields across multiple databases and tables. | |
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www.michael-noll.com
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| | | | | In this article, perhaps the first in a mini-series, I want to explain the concepts of streams and tables in stream processing and, specifically, in Apache K... | |
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www.onehouse.ai
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| | | The open data lakehouse is much more than a data table format, such as Apache Hudi?, Apache Iceberg?, and Delta Lake. It works seamlessly with all three table formats and serves as a transactional database on the data lake. | ||
