Redpanda Data Dunith Danushka ๐ฅ๐ฌ๐ง๐ฑ๐ฐ Apache Pinot ScyllaDB Apache Kafka In this case we can hook it up to Apache Pinot. You can also introduce stateful stream processing. Though you can always use query-time JOINs in Apache Pinot #RTASummit
Redpanda Data Dunith Danushka ๐ฅ๐ฌ๐ง๐ฑ๐ฐ Apache Pinot There's a number of advantages of Redpanda Data. [Did you know it's built on the same Seastar engine as ScyllaDB?] Written in C++ it's blazing fast. #RTASummit
Redpanda Data Dunith Danushka ๐ฅ๐ฌ๐ง๐ฑ๐ฐ Apache Pinot ScyllaDB Apache Kafka Apache Superset Tableau Streamlit Spring Boot Databricks Trino DoorDash Apache Flink CockroachDB Delta Lake Kubernetes Slack Snowflake ApacheAvro Apache Spark .DoorDash learned many lessons during this work. Required making it easy [self-serve UI], making it affordable, and making it resilient [auto-remediation]. #RTASummit
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Redpanda Data Dunith Danushka ๐ฅ๐ฌ๐ง๐ฑ๐ฐ Apache Pinot ScyllaDB Apache Kafka Apache Superset Tableau Streamlit Spring Boot Databricks Trino DoorDash The main focus is isolating the data and control planes. Let's look at the block diagram to see how they do data ingestion, as well as typical use cases. Some times you have 5 minutes. Some times<1 minute. #RTASummit
Redpanda Data Dunith Danushka ๐ฅ๐ฌ๐ง๐ฑ๐ฐ Apache Pinot ScyllaDB Apache Kafka Apache Superset Tableau Streamlit Spring Boot Databricks Trino DoorDash Apache Flink CockroachDB Delta Lake Kubernetes The second improvement at DoorDash: Slack integration. #RTASummit
Redpanda Data Dunith Danushka ๐ฅ๐ฌ๐ง๐ฑ๐ฐ Apache Pinot ScyllaDB Apache Kafka You can partner Apache Pinot with various visualization tools like Apache Superset, Tableau, Streamlit or make your own via #Python or Spring Boot. #RTASummit
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Redpanda Data Dunith Danushka ๐ฅ๐ฌ๐ง๐ฑ๐ฐ Apache Pinot ScyllaDB Redpanda Data uses the same wire protocol as Apache Kafka. So you can use it wherever you'd use Kafka. It can connect to any typical Kafka sink. But which one to use? #RTASummit
How did @coralogix build a distributed query execution model that lets them shed excess load to lambda functions to preserve low latency? Dan Harris shares how in his #P99CONF session. ow.ly/huK950QYTtT
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Redpanda Data Dunith Danushka ๐ฅ๐ฌ๐ง๐ฑ๐ฐ Apache Pinot ScyllaDB Apache Kafka Apache Superset Tableau Streamlit Spring Boot Databricks Trino So there you go! If you want to learn more, check out Redpanda Data University! #RTASummit