Apr 29, 2020
Why BT chose Druid over Cassandra
BT performed a use case-based comparison across ingestion, scalability, read performance, aggregation, high availability, and community support. After taking those comparisons into account, the main deciding factors in choosing Druid were because of use case fit and the ability to support streaming data.
Keynote – Building Modern Analytics Applications with Apache Druid
Fangjin Yang, Co-Founder and Chief Executive Officer of Imply, presents the opening keynote at the Druid Summit 2021 virtual conference.
Watch the Presentation
Technical deep dive into how Outbrain scales its real-time analytics
Because Outbrain processes billions of impressions and events a day, they risk running into scaling problems.
Imply x Kafka: Capture, interact and scale streaming data
Imply and Kafka is the perfect architecture to capture and surface streaming data through interactive queries and unlimited scale
Confluent Cloud 연동하여 Imply로 실시간 데이터 분석 및 시각화
라이브 데모: 대화형 쿼리 및 제한없는 확장을 통해 스트리밍 데이터를 캡쳐하고 보여주는 아키텍쳐를 구축하는 방법
Making Real-Time Data a Reality for your Business
Technaura takes you through an hour of practical Real-time, data-driven outcomes.
Apache Druid Engine Roadmap
如果你还在每天等待数据刷新，是时候试试Apache Druid 亚秒级数据库了。 该开源数据库在Twitter、Pinterest和Snapchat广泛部署。此次研讨会中， Imply的产品经理Will Xu将分享常见的应用场景以及Imply Druid企业版本的独特功能和未来产品规划。
Comparing drill-down workflows between Tableau & Snowflake with Imply
In this video, Jad Naous demonstrates drill-down workflows between Tableau & Snowflake with Imply.
How Spideo turbo-charged data analytics by using Imply
In this video, Spideo, a humanized recommendation provider, shares with us its data analytics journey.