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Baidu ETL Connector: How MVF Solved an Unsupported Data Source
Today, Matatika is the only ETL provider offering a fully supported, production-grade Baidu connector. While most ETL platforms support mainstream paid media sources like Google Ads and Facebook Ads, Baidu often sits outside standard connector catalogues. For teams running marketing activity in China, this creates a familiar problem: critical data exists, but there is no clean, supported way to ingest it. MVF ran into exactly this issue.
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Analytics Engineering: Internal Risk vs. External Rigor
In this episode of the Data Matters podcast, host Aaron Phethean is joined by Jack Doherty, VP of Analytics Engineering at Fresha. The conversation explores a tension many data teams now face: the difference between building analytics for internal use versus delivering analytics as a customer facing product. Jack’s team at Fresha operates in both worlds. On one side, they support internal stakeholders with classic analytics. On the other, they power analytics that sit directly inside the Fresha product and are used daily by thousands of customers running health and beauty businesses. That dual responsibility forces very different ways of thinking about risk, speed, and quality.
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Why marketing data connectors quietly inflate your ETL costs
And how MVF consolidated paid media data without losing insight Marketing data rarely breaks loudly. It degrades quietly. Pipelines keep running. Dashboards still load. Spend gets approved. But somewhere between your tenth and thirtieth connector, the economics stop making sense. Teams often assume marketing connectors are cheap because each one looks small in isolation. A Google Ads connector here. A LinkedIn Ads connector there. Another for TikTok. Another for reporting exports. Each one feels justified. Together, they quietly become the most expensive part of the data stack. MVF learned this the hard way.
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🔔 Celebrating a Most Eventful Matatika Year! 🔔
The Matatika Year in Review: On the Twelfth Day of Data... As the year wraps up, we’re taking a lighthearted, musical look back at the incredible journey we’ve shared! Thanks to the energy and support of our amazing community, 2025 has been an absolutely unforgettable year of growth, connection, and major milestones. Grab a hot drink, and join us as we sing the praises of the Matatika year that was!
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Building Data Platforms That Actually Solve Business Problems
Meet Teddy Bernays Teddy is a highly autonomous Freelance Data Engineer and Google Cloud Trainer who focuses on helping startups and mid-sized companies build efficient, scalable, and cost-effective data platforms. He started his career in the complex world of audio engineering before transitioning to IT, where he found a fascination with the mechanics "under the hood" of data systems. Today, he is a firm believer that the solution to data inconsistency isn't always more code, but more clarity. His approach is simple: “If it’s simple, do it simple. You don't need three different tools to solve a one-tool problem.”
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