Mar 16, 2022
How-to Half-hour: Using Multi-value Dimensions in Apache Druid
It can be challenging to model 1-to-n data relationships in Druid. If you’ve tried, you probably did tons of JOIN operations to build an array. Did you know that with multi-value dimensions you can filter and group complex data quickly and easily?
In this webinar you will:
- Learn the basics of multi-value dimensions and when they are useful
- Get a step-by-step guide to setting up registered lists of data as multi-value string dimensions
- See how a major telecommunications provider is using multi-value dimensions to analyze complex 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
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Imply x Kafka: Capture, interact and scale streaming data
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Confluent Cloud 연동하여 Imply로 실시간 데이터 분석 및 시각화
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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.