Prakash Chockalingam
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| title | conference | date |
|---|---|---|
| Deep dive and best practices of Spark streaming | Data By the Bay 2016 | 2016-05-16 |
Explains Spark Streaming internals and practical fixes: receivers buffer data on executors, direct Kafka avoids receivers so scale by increasing Kafka… | ||
| DBTB INT Prakash Chockalingam r | Data By the Bay 2016 | 2016-05-16 |
Practical checklist for running Spark Streaming pipelines on the Databricks platform with attention to production-scale concerns: how to handle state and… | ||
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