Co-authors: Khai Tran and Steve Weiss Batch and streaming computations are often combined together in the Lambda architecture, but carry the cost of maintaining two different code bases for the same logic. We have previously shared on the blog a behind-the-scenes look at our approach into enabling the seamless translation of declarative batch code into streaming...
batch processing Articles
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- Topics:
- Stream Processing,
- batch processing,
- Data,
- Pinot,
- Gobblin,
- Kafka,
- Samza
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The existing Lambda architecture With the evolution of big data technologies over time, two classes of computations have been developed for processing large-scale datasets: batch and streaming. Batch computation was developed for processing historical data, and batch engines, like Apache Hadoop or Apache Spark, are often designed to provide correct and complete,...
- Topics:
- Stream Processing,
- batch processing,
- Data