?? Druid in 100 seconds: Imply Architect, Benjamin Hopp gives an overview of scaling Apache Druid. ...in "100" seconds. ?? Dave Klein
Imply
软件开发
San Francisco,California 17,113 位关注者
The Database for Modern Analytics Applications – From the original creators of Apache Druid?
关于我们
- 网站
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https://imply.io/
Imply的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- San Francisco,California
- 类型
- 私人持股
- 领域
- Druid、Data Applications、Big Data、Analytics Applications、data analytics、Analytics database、modern analytics和analytics in motion
地点
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主要
2261 Market St
US,California,San Francisco,94114
Imply员工
动态
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We're looking for a Staff Software Engineer to join the Imply team! Share this, tag a friend, or apply! https://bit.ly/4iFNAti
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We're excited to be sponsoring this year's #Current25. Circle May 20 and 21 on your calendars and we'll see you this spring in London! https://lnkd.in/e9DcGvP3 Confluent
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See you next week, Tel Aviv. #DataStreamingWorldTour Confluent Wix eToro LSports Tipalti Lightricks Zafran Security TWINGO ScyllaDB
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We're hiring a Senior Customer Architect (USA / remote) Tag someone who you think might be a good fit or apply right here on LinkedIn: https://bit.ly/4iIJhNy
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We've always said Druid and Kafka go together like peanut butter and jelly! ?? We're excited to be a launch partner for the Confluent Tableflow release, helping you supercharge your analytics. Read about it here: https://bit.ly/3E2tWIN
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?? ??? Try out Polaris for free and never deal with "scary numbers" again. https://bit.ly/3RZ7LWV
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??? Mark your calendars. See you at Confluent #Current25 in London May 20-21. https://bit.ly/3DCUqQX
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See you March 27, Seoul! https://bit.ly/3DttIdH Amazon Web Services (AWS) / MegazoneCloud
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Why Salesforce uses Druid as their events store: ? Column-oriented distributed datastore ? Purpose built for time series workloads ? Faster query performance ? Real time streaming and batch data ingestion options ? Deep storage (S3) ? Fault tolerance and automatic recovery ? Lambda architecture to join across real time & historical data ? Powerful SQL interface ? Nested Columns, roll-ups, query-laning