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www.ververica.com
| | estuary.dev
1.7 parsecs away

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| | Your Kafka cluster needs storage. Can Kafka itself be a data lake? It can... but proceed with caution, and consider these alternatives.
| | www.decodable.co
1.7 parsecs away

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| | At Decodable, we have long believed that Apache Flink is the best stream processing system, with a proven track record of meeting the demands of some of the largest and most sophisticated businesses in the world, such as Netflix, Uber, Stripe, and many more. We are excited to welcome Confluent to the ranks of companies, like ourselves, who regard Flink as the industry standard for meeting the real-time stream processing needs of businesses, large and small.
| | celerdata.com
2.0 parsecs away

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| | Learn what CelerData's new partnership with Confluent means for users of both products and how this impacts the future of real-time analytics.
| | jack-vanlightly.com
17.1 parsecs away

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| In the world of open table formats (Apache Iceberg, Delta Lake, Apache Hudi, Apache Paimon, etc), an emerging trend is to provide interoperability between table formats by cross-publishing metadata. It allows a table to be written in table format X but read in format Y or Z. Cross-publishing is the idea of a table having: * A primary table format that you write to. * Equivalent metadata files of one or more secondary formats that allow the table to be read as if it were of that secondary format.