This post explains what that means in practice, why it matters for data engineering teams, and what a concrete implementation looks like with Apache Flink on Confluent Cloud. Data Streaming Meets the Lakehouse Data lakes promised to solve the enterprise data problem.
This post explains what that means in practice, why it matters for data engineering teams, and what a concrete implementation looks like with Apache Flink on Confluent Cloud.
Data Streaming Meets the Lakehouse Data lakes promised to solve the enterprise data problem.
Batch pipelines produce stale information, and analytical workloads run hours after the business event occurred.
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This post explains what that means in practice, why it matters for data engineering teams, and what a concrete implementation looks like with Apache Flink on Confluent Cloud. Data Streaming Meets the Lakehouse Data lakes promised to solve the enterprise data problem. Batch pipelines produce stale information, and analytical workloads run hours after the business event occurred.
By the time a query runs, the window for action is often already closed.
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