关于这一集
In this episode of Data BS, host James Winegar, CEO of CorrDyn, sits down with David Yaffe, Co-Founder of Estuary, to explore how their innovative approach to real-time data streaming is revolutionizing data pipelines. David shares how Estuary optimizes efficiency by leveraging streaming architectures, minimizing costs, and prioritizing smart resource allocation.
They also discuss the importance of fostering a responsive customer support culture, Estuary's strategies for handling massive data scenarios, and how thoughtful engineering can create scalable solutions. Whether you're curious about streaming technology or building cost-effective infrastructure, this episode is packed with insights.
Highlights:
- How Estuary designed connectors to run on just 1 CPU and 1GB RAM.
- The advantages of streaming-first data processing.
- Tips on minimizing cloud egress and compute costs.
- Creating a customer-first engineering culture with real-time Slack support.
Links and resources:
- Their website: Estuary.dev
- GitHub: github.com/estuary
- Connect on LinkedIn: Estuary LinkedIn
- Connect with David Yaffe on LinkedIn
- Sponsor: CorrDyn, a data consultancy
英语
美国
文字稿 🔗
Are you the producer of this podcast?
Add a podcast transcript
Need Audio-to-Text?
Transcribe with Listen411 in Just 60 Seconds
搜索以前的节目
搜索Eventual Consistency | Your Reality Check on What's Actually Happening in Data以前的节目。
本播客中的其他单集
The threat isn't coming from outside your perimeter. It's already inside, embedded in the open source libraries your engineers pulled in last quarter, the routers running on your network, the security tooling sitting in your CI/CD pipeline.
In this episode of Eventual Consistency, host James Wi...
Snowflake and Databricks held their flagship conferences within a fortnight of each other and both independently built their entire keynotes around the same claim: the bottleneck for enterprise AI is not the model, it is the context.
When two direct competitors land on identical messaging at th...
The 2026 dbt Labs State of Analytics Engineering report surveyed 363 data practitioners (not vendors, not analysts, but the people building and maintaining data systems). The headline finding is a tension that most people working in or alongside data teams will recognise immediately: AI is now em...
The Big Four accounting firms are posting more job ads for AI specialists than for auditors. Graduate intake is down 30% at KPMG and 22% at Deloitte. Equity partners are being quietly demoted. The global chairman of PwC is telling the BBC he can't find the engineers he needs.
The natural read i...
When AI can produce a ten-page analytics report, spin up a data pipeline, or generate a plausible infrastructure assessment in minutes, a question starts nagging at everyone running a professional services business: what exactly are clients still paying for?
In Episode 9 of Eventual Consistency...
免责声明: 本页面嵌入的播客和封面图片来自 CorrDyn，归其所有者所有，与 Listen Notes, Inc. 无关联，也未获得 Listen Notes, Inc. 背书。
