???"Because of Tinybird's capabilities, we've changed our roadmap, because what's possible with Tinybird just wasn't possible with anything else." - Carl-Einar Thorner With Tinybird, Zembula was able to transform their email personalization platform from timing out on basic queries to delivering sub-second responses on 20+ billion messages unlocking real-time creative analytics at scale. Want to know how they accomplished this in just 4 weeks? Full case study ?? https://tbrd.co/zembula
关于我们
Tinybird is the real-time data platform for data and engineering teams. Unify your data sources, build real-time data pipelines with SQL, and empower your organization to build with data.
- 网站
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https://tbrd.co/home
Tinybird的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- New York
- 类型
- 私人持股
- 创立
- 2019
- 领域
- Clickhouse、Data analytics、Visualization、Real-time Analytics、Data APIs和Data Products
地点
Tinybird员工
动态
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Speed wins. That means being able to quickly do things yourself. Things that get in the way? - Struggling to find examples to help you get started. - Being confused about how to use a feature. - Having to wait for a response to a troubleshooting question. All things that can be prevented with great docs. Now you can help us continuously improve our docs with the new docs feedback widget.
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Tinybird转发了
A reader asked me how they’d become a Documentation Engineer, because they saw I got hired as one and felt curious about what it takes to get there. This inevitably got me thinking about job titles and the evolution of tech writing, two topics that are quite central to my blog: https://lnkd.in/d5ubEadB
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Tinybird转发了
So cool to see how our DynamoDB Connector daily active users are doubling every month since we launched it ?? Thanks to the managed DynamoDB connector, Tinybird can maintain - with only a few seconds of lag - a stateful copy of your DynamoDB tables in a database optimized for complex SQL queries. And then your API endpoint using DynamoDB data is only one click away ?? For more details, check out our documentation in the first comment.
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Creating analytics on DynamoDB can be difficult, but with Tinybird, it becomes possible. Learn how you can enable aggregations and complex queries in real time leveraging both Dynamo and Tinybird through this travel booking demo. ?? Want to learn more? Tinybird will be at AWS re:Invent, come talk to us at booth #1856!
Application Architecture: Combining DynamoDB and Tinybird
tinybird.co
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?? Missed the DynamoDB Webinar? Here's What You Missed! Key insights from Alex DeBrie and Ariel Pérez on: - How to add flexibility to your DynamoDB data - The strengths and limitations of DynamoDB - Innovative patterns for enhancing data flexibility - Strategies to enable advanced analytics Catch the replay here! #AWS #DynamoDB #DataEngineering
DynamoDB is a distributed NoSQL that's laser-focused on solving a specific problem. For classic OLTP workloads with predictable access patterns, DynamoDB promises single-digit millisecond response times regardless of scale with essentially no operational overhead. However, if your application wants to display aggregations, allow complete filtering, or even add new access patterns, it can be tricky to handle in DynamoDB. You'll most likely need to export your DynamoDB data to a separate database more suited to those tasks. And if you're doing this export work yourself, you're signing up for a world of additional infrastructure, brittle data pipelines, and added cost. Join renowned DynamoDB guru Alex DeBrie and Tinybird Field CTO Ariel Pérez as they discuss how to add flexibility to your DynamoDB data. They'll talk about: - What DynamoDB is good at and where it struggles - The common use cases that every DynamoDB-powered application ends up wanting - Patterns for adding flexibility to your DynamoDB data using AWS tools - How Tinybird can give you a fully managed, low-cost experience for enhancing DynamoDB - How to reshape your DynamoDB data for flexible querying
Enhancing DynamoDB for flexible querying and real-time analytics
www.dhirubhai.net
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Another thoughtful and entertaining post from Mr. Vampire himself. To paraphrase Sebastian Zaklada: "Destructive full refreshes of data in a production environment are scary and bad. Don't do them. But if you won't heed my advice and you're gonna do them anyway, use this tool. ??" ??????
Resident Engineering Vampire ?? Software Design is in my Blood | Serverless Solutions | Making the Impossible Possible
?? Just published another CLI-focused article in my Tinybird DevEx series! ?? This time I am talking about fun times with your own data repopulation nuclear launch system, but with enough safety measures to make even the most paranoid engineer sleep better at night (well, unless you're like me ??). And yes, it's a rainbow full of colors because good looking tools are just better tools! Also, because... why not? ?? It's a tool I built for those "I need a fresh start" moments in your Tinybird development. You know, when you are neck-deep in pipeline changes and realize there's no way back? Yeah, that kind. Go ahead and take it up for a spin: https://lnkd.in/eHSKRQWR P.S. Don't worry, no data sources were harmed during the making of this article! Next Up: Time to wrap up CLI tools and dive into some serious stuff! "Beyond DynamoDB Query Boundaries ?? How to Set Your Data Free ?? with Tinybird" is coming next - stay tuned! #Tinybird #DataEngineering #DevTools #Analytics
Improving Tinybird DevEx ?? Data Re-Population CLI Tool
dev.to
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DynamoDB is a distributed NoSQL that's laser-focused on solving a specific problem. For classic OLTP workloads with predictable access patterns, DynamoDB promises single-digit millisecond response times regardless of scale with essentially no operational overhead. However, if your application wants to display aggregations, allow complete filtering, or even add new access patterns, it can be tricky to handle in DynamoDB. You'll most likely need to export your DynamoDB data to a separate database more suited to those tasks. And if you're doing this export work yourself, you're signing up for a world of additional infrastructure, brittle data pipelines, and added cost. Join renowned DynamoDB guru Alex DeBrie and Tinybird Field CTO Ariel Pérez as they discuss how to add flexibility to your DynamoDB data. They'll talk about: - What DynamoDB is good at and where it struggles - The common use cases that every DynamoDB-powered application ends up wanting - Patterns for adding flexibility to your DynamoDB data using AWS tools - How Tinybird can give you a fully managed, low-cost experience for enhancing DynamoDB - How to reshape your DynamoDB data for flexible querying
Enhancing DynamoDB for flexible querying and real-time analytics
www.dhirubhai.net