Ascend.io

Hands-on beats hype. Every time. Join us for the Agentic Data & Analytics Bootcamp — a free, two-day virtual training. Over two focused days, data teams will learn to use AI-powered workflows to build production-ready data pipelines. You’ll get real experience. Sessions include: ➡️ Building agentic pipelines from ingestion through monitoring ➡️ Exploring workflows on Snowflake, Databricks, or MotherDuck ➡️ Live labs, expert-led guidance, and community learnings If your data team is ready to cut manual work, upgrade pipeline reliability, or launch AI-native data experiences this bootcamp is for you 🚀 Registration is free, and spots are limited. Reserve yours now

Hands-on beats hype. Every time. We’re launching the Agentic Data & Analytics Bootcamp — a free, two-day virtual training. Over two focused days, data teams will learn to use AI-powered workflows to build production-ready data pipelines. You’ll get real experience. Sessions include: ➡️ Building agentic pipelines from ingestion through monitoring ➡️ Exploring workflows on Snowflake, Databricks, or MotherDuck ➡️ Live labs, expert-led guidance, and community learnings If your data team is ready to cut manual work, upgrade pipeline reliability, or launch AI-native data experiences this bootcamp is for you 🚀 Registration is free, and spots are limited. Reserve yours now ➡️ https://lnkd.in/g9hiWT-u

𝗛𝗼𝘄 𝗳𝗮𝘀𝘁 𝗰𝗮𝗻 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱 𝗮𝗻 𝗔𝗣𝗜 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲? If you’ve ever stitched together auth flows, pagination, schema mapping, and transformation logic, you know writing API connectors is… a whole experience. And most teams are buried in requests from every direction (read: SaaS tools, internal services, partner APIs, etc etc etc) all expecting data ~yesterday~. Join us for our next hands-on lab on December 17 focused on building custom API ingestion pipelines with AI agents. In this session, you’ll walk through real examples of how engineers can keep full control while letting agents speed up the assembly work: ➡️ Generate Python that handles ingestion across multiple API endpoints ➡️ Transform your data with SQL and Python ➡️ Deploy complete API pipelines following solid DataOps practices By the end, you’ll understand how agentic assistance fits into a production workflow and how to apply it to any data source your team throws at you. Register to attend live or receive the recording. https://lnkd.in/g39nG2Fc #dataengineering #dataops #apipipelines #agentic

𝗛𝗼𝘄 𝗳𝗮𝘀𝘁 𝗰𝗮𝗻 𝘆𝗼𝘂 𝗯𝘂𝗶𝗹𝗱 𝗮𝗻 𝗔𝗣𝗜 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲? If you’ve ever stitched together auth flows, pagination, schema mapping, and transformation logic, you know writing API connectors is… a whole experience. And most teams are buried in requests from every direction (read: SaaS tools, internal services, partner APIs, etc etc etc) all expecting data ~yesterday~. Join us for our next hands-on lab on December 17 focused on building custom API ingestion pipelines with AI agents. In this session, you’ll walk through real examples of how engineers can keep full control while letting agents speed up the assembly work: ➡️ Generate Python that handles ingestion across multiple API endpoints ➡️ Transform your data with SQL and Python ➡️ Deploy complete API pipelines following solid DataOps practices By the end, you’ll understand how agentic assistance fits into a production workflow and how to apply it to any data source your team throws at you. Register to attend live or receive the recording.

🐐 Engineers of a feather, flock together. 🦆 We're teaming up with MotherDuck to show you what happens when serverless analytics meets AI automation. In this 45-minute hands-on lab, you'll build production-ready data pipelines that actually run themselves—from ingestion to orchestration—using MotherDuck's serverless platform and Agentic Data Engineering. We promise to limit the fluff so you get to actually build cool stuff. Here's what we'll do: ✅ Build live on MotherDuck's serverless analytics platform ✅ Work with agents to automate manual work ✅ Walk away with approaches you can deploy at scale Join us December 3rd. Spots are limited, so make sure you register for the live session or to grab the recording → https://lnkd.in/gCBk-2QY

We're teaming up with MotherDuck to show you what happens when serverless analytics meets AI automation. 🦆 In this 45-minute hands-on lab, you'll build production-ready data pipelines that actually run themselves—from ingestion to orchestration—using MotherDuck's serverless platform and Agentic Data Engineering. We promise to limit the fluff so you get to actually build cool stuff. Here's what we'll do: ✅ Build live on MotherDuck's serverless analytics platform ✅ Work with agents to automate manual work ✅ Walk away with approaches you can deploy at scale Join us December 3rd. Spots are limited, so make sure you register for the live session or to grab the recording → https://lnkd.in/gQizKMnD