In this webinar, one of the creators of Apache Druid, will dive into:
• The current state of real-time and streaming analytics, from stream processing like Spark and Flink to analytics tools including Tableau, Looker, Superset and Imply Pivot. • The challenges of architecting for real-time analytics, and how combining Kafka and Druid deliver low end-to-end latency at scale. • Design considerations and details behind Druid’s integration with Kafka, Amazon Kinesis, and other messaging technologies for real-time ingestion at scale. • Architectural considerations for achieving speed and scale for real-time analytics including ad hoc, search and time-based queries.