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www.zuar.com | ||
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quix.io
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| | | | | Dive deep into the performance and limitations of Python client libraries to choose the best stream processing solution for your data. | |
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lakefs.io
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| | | | | Explore data pipeline automation and boost business growth through enhanced data quality, efficiency, and scalability. Learn how to streamline data management. | |
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www.decodable.co
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| | | | | Apache Flink and Spark Structured Streaming are two leading real-time processing frameworks. In this blog post, we will talk about why we picked Flink to be the foundation of our platform from 3 different perspectives. | |
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ministryofjustice.github.io
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| | | How we leveraged Amazon Athena, along with the Apache Iceberg table format and the dbt SQL management framework, to build robust, scalable and maintainable ELT (extract, load, transform) pipelines. | ||
