Maria Ho on Muck Rack

Maria Ho

Taipei
As seen in: PokerNews, Amazon Web Services, iVoox Podcast and Radio, CalvinAyre.com, TD Magazine, Snowflake Blog, PokerTube
♠️ Women in Poker HOFer • 🎙️ Award-winning Broadcaster • 🌎Amazing Racer • 🎤 TEDx Speaker • 👩🏻‍🏫 Coach • 🎥 Presenter • 📚 Knowledge-seeker
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Articles

Simplify the Entire Data Development Lifecycle

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By Maria Ho, Saptarshi Mukherjee, Lauren Delgado
| Snowflake Blog
By the time most enterprise data reaches the systems that are meant to act on it, it's often stale. That lag is the difference between AI agents making a useful answer or a costly mistake. Agentic AI can only deliver intelligent decisions when it has continuous access to fresh information.
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What If Your AI Already Knew Your Data Integration Stack?

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By Maria Ho
| Snowflake Blog
Data integration is one of the first and most critical steps in building any data pipeline. It's how raw data becomes usable, trusted, and ready for downstream applications. But in practice, it's also where teams lose the most time. Connectiving systems, managing credential, handling edge cases, and keeping pipelines stable can quickly turn into a constant cycle of setup and maintenance. At the same time, expectations are shifting.
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Snowflake Kafka Connector Version 4.0 is Generally Available. Here’s Why We Think It's a Major Upgrade

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By Chase Thomas, Maria Ho
| Snowflake Blog
Running Apache Kafka® at scale means your connector has been doing work it was never supposed to own — buffer management, schema validation and Java Virtual Machine (JVM) tuning. We built Kafka Connector Version 4.0 (V4) to change that. It's a ground-up rewrite of the Snowflake Kafka Connector built on Snowpipe Streaming High-Performance Architecture,  a server-side ingestion service that handles validation, transformation and commit inside the platform. The connector’s job is straightforward now.
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