Streaming data is not only data in motion—it’s a potential source of valuable insights, ready to be harvested and utilized. The challenge is to analyze streaming data at scale and extract these insights—before they go stale. Join this lightning talk on building real-time analytics for streaming data to see how you can use Apache Kafka with Apache Druid, the open source database for speed, scale, and streaming data. Learn how Druid makes it easy to ingest streaming Kafka data natively at scale, run SQL queries combining real-time and historical data, create interactive dashboards to visualize event data, and embed the dashboards into a web application. This presentation is brought to you by Imply, an AWS Partner.
Demo Video: Imply Polaris Overview
Imply Polaris is a cloud-native database-as-a-service that simplifies the developer experience by providing all the advantages of Apache Druid, plus auto-scaling for seamless data ingestion, enhanced security,...
Watch nowImply Polaris + Natural Intelligence: Powering Real-time Analytics & Observability
Imply Polaris provides the fastest path to real-time analytics by offering seamless data ingestion, auto-scaling capabilities, built-in visualization, and a secure, fully managed infrastructure. Watch this...
Watch nowPhysical Hardware, Digital Analytics: IoT Challenges, Best Practices, and Solutions
From supporting ad-hoc queries across massive time series datasets to ensuring data freshness and scalability, our panelists will share insights into selecting the right database solutions that can deliver...
Watch now