Paul Dudley (@paulfdudley) 's Twitter Profile
Paul Dudley

@paulfdudley

Co-Founder @Streamkap

ID: 24011275

linkhttps://streamkap.com/ calendar_today12-03-2009 19:17:24

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Off-schedule newsletter by Paul Dudley on a Tuesday! 🤫 But hey—had to share thoughts on a $1B Postgres acquisition. streamkap.substack.com/p/htap-is-dead…

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🔌 Streamkap Connector Series: Apache Pinot (StarTree ) Why should Apache Pinot be on your radar for user-facing analytics? Because it's built for it. Real-time OLAP, sub-second queries, massive scale. But streaming into it? That’s where things get tricky. 👇

🔌 Streamkap Connector Series: <a href="/ApachePinot/">Apache Pinot</a>  (<a href="/startreedata/">StarTree</a> )

Why should Apache Pinot be on your radar for user-facing analytics?

Because it's built for it.
Real-time OLAP, sub-second queries, massive scale.
But streaming into it? That’s where things get tricky. 👇
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🚨 Streamkap Tutorial Drop: Real-Time Streaming from Amazon Web Services DynamoDBDatabricks 📘 Tutorial #8: From Operational NoSQL to Analytical Lakehouse Build a direct, real-time pipeline for live analytics—no batch jobs, no scripts.

🚨 Streamkap Tutorial Drop: Real-Time Streaming from <a href="/awscloud/">Amazon Web Services</a> <a href="/dynamodb/">DynamoDB</a>  ➜ <a href="/databricks/">Databricks</a> 
📘 Tutorial #8: From Operational NoSQL to Analytical Lakehouse
Build a direct, real-time pipeline for live analytics—no batch jobs, no scripts.
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This week, Paul Dudley nails it: Context — not model size — will define who wins in applied AI. At Snowflake Summit, Sam Altman emphasized longer context windows, memory & retrieval. Shopify's CEO? Says it’s not about prompt engineering anymore — it’s context engineering.

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🚨 New Tutorial Released: Real-Time Streaming from DynamoDB to Databricks — No Glue, No Lag. We show you how to stream live data from DynamoDB into Databricks SQL using Streamkap — securely, reliably, and FAST. 🪶 The data speaks — if you let it flow.

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🎉 New Feature Drop: Read-Only Snapshot + Heartbeat Support is here! We’ve just rolled out 2 new options to improve connector reliability and support more database environments. Let’s break it down 👇 #ProductAnnouncement #CDC #DataStreaming #DataEngineering #ChangeDataCapture

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🚨 Streamkap Tutorial Drop: Real-Time MySQL ➡️ MotherDuck via AWS 📘 Tutorial #9: Stream relational data to serverless analytics in under 15 minutes. Batch ETL is dead. Real-time is here. 🧵 [1/3] #RealTimeData #MySQL #AWS

🚨 Streamkap Tutorial Drop: Real-Time <a href="/MySQL/">MySQL</a> ➡️ <a href="/motherduck/">MotherDuck</a>  via AWS

📘 Tutorial #9: Stream relational data to serverless analytics in under 15 minutes.

Batch ETL is dead. Real-time is here.

🧵 [1/3]
#RealTimeData #MySQL #AWS
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🚀 𝐒𝐭𝐫𝐞𝐚𝐦𝐤𝐚𝐩 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐨𝐫 𝐒𝐩𝐨𝐭𝐥𝐢𝐠𝐡𝐭: @tinybirdco ⚡ Real-time data APIs powered by SQL—Tinybird turns raw events into lightning-fast insights. Now with a purpose-built Streamkap connector for ultra-low-latency ingestion. 👇 (1/3)

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🚀 Streaming Just Got a Whole Lot Quackier We’re excited to share a guide from Oli Dinov 💙: Real-Time MySQL to MotherDuck Streaming with Streamkap 🦆🧢 Shift Left = validate, clean & transform data at the source. Catch schema drift early, keep data analytics-ready from day one.

🚀 Streaming Just Got a Whole Lot Quackier

We’re excited to share a guide from <a href="/olidinov/">Oli Dinov 💙</a>:
Real-Time MySQL to <a href="/motherduck/">MotherDuck</a>  Streaming with <a href="/Streamkap/">Streamkap</a> 🦆🧢
Shift Left = validate, clean &amp; transform data at the source. Catch schema drift early, keep data analytics-ready from day one.
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💥 Think your ETL is fast? Watch this. From Oracle MySQLMotherDuck in under 1s latency, fully serverless, and built live in 15 minutes. In this video demo, you’ll see: 👇 👇

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🚨 𝐍𝐞𝐰 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥: MongoDBSnowflake in real time. Snowpipe Streaming + Dynamic Tables, powered by Streamkap CDC. Sub-second end-to-end (~350 ms) at lower cost than batch. streamkap.com/blog/streaming…

🚨 𝐍𝐞𝐰 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥: <a href="/MongoDB/">MongoDB</a>  → <a href="/Snowflake/">Snowflake</a>  in real time. Snowpipe Streaming + Dynamic Tables, powered by Streamkap CDC. Sub-second end-to-end (~350 ms) at lower cost than batch.

streamkap.com/blog/streaming…
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🚀 Streamkap has joined the Snowflake Startup Accelerator. The program brings funding, technical guidance, and co-marketing so we can build even better Snowflake-first, low-latency streaming data products for customers.

🚀 Streamkap has joined the <a href="/Snowflake/">Snowflake</a> Startup Accelerator. The program brings funding, technical guidance, and co-marketing so we can build even better Snowflake-first, low-latency streaming data products for customers.