Keboola

Just enabled Kai, our context-aware data engineering agent, in your Keboola project? Here's your 5-minute guide to getting started 👇

Jordan walks you through basics:
→ Shortcut to open Kai
→ Understanding tool approval
→ Using follow mode to watch Kai work

Read the full walkthrough: https://www.keboola.com/blog/getting-started-with-kai

Getting Started with Kai: Your First 5 Minutes Learn how to use Kai, Keboola's AI assistant, in your first session. Follow Jordan's walkthrough from opening Kai to running your first queries.

Ever been in a board meeting where three people are looking at three different numbers for the same metric?

Not because anyone's wrong, but because no one formally owns what that metric actually means.

This is common #1 frustration we hear from CFOs.
It's not a technology problem. It's a definition problem.
The questions that break finance teams:

"How do we calculate EBITDA? Do we include depreciation from leased assets?"
"What counts as Marketing Cost? Just ad spend, or team salaries too?"
"When we say 'Customer,' is that one person globally, or per market?"

These aren't data questions. They're business questions.

Then you scale.

Once you need to manage 380 metrics across multiple countries, the real questions became:

→ Who approves when someone wants to change a definition?
→ How do you automate validation?
→ How do you get alerted when a KPI goes out of range?
→ How do you prevent the "which report is right?" debates?

Join us February 26 as Michal Hruška walks through a our framework for managing metrics at scale.

📅 February 26, 2026 | 16:00 CET
👉 Register here: https://buff.ly/whfezib

You can’t run finance on inboxes - leaders need numbers any time.

That’s exactly what CEO, CFO a CHRO Fórum is about: C-level execs sharing real-world playbooks that work across industries. We’re excited to join the CFO Forum Europe in Prague starting tomorrow.

Meet our speaker: Štěpán Pittauer, Senior Consultant for Financial Intelligence at Keboola - helping teams at Creditinfo Group and Home Credit Bank Kazakhstan move from spreadsheets to one truth for Finance.

Use case: How Home Credit (11 countries) went from twice-a-month sales reporting to D-1, any-time available data - with drill-down to a single transaction.

If you’re attending, connect with our team Balu Gopakumar and Giorgio Pontillo.

Big Data London can be fun, too. 🎉

After day one, join us and our friends at MotherDuck for an evening get-together.
Food, drinks, and great conversations with the data community.

👉 Wed, Sept 24 | 7–10 PM | Kindred (minutes from Olympia)

Please, RSVP (spots are limited!): https://luma.com/MotherDucking-BigParty-2025?utm_source=Keboola

👉 Also visiting Big Data London venue? Come see us at booth L40.

Keboola is heading to Big Data LDN 🇬🇧

What to expect: live agent demos, fresh product updates, a great party, and our team on stage.

Find us at Booth L40 — see our sessions and where to find us, here: https://www.keboola.com/big-data-ldn-2025

Looking for an easy, versatile way to move your Shopify data?

Start with the most important piece of your e-commerce puzzle — your orders, customers, and products. In this quick video, Steven shows how to connect Shopify to BigQuery using Keboola’s no-code connectors.

It’s fast to set up and packed with features:
✅ Connect in minutes
✅ Set up once, run automatically
✅ Schedule updates to match your business needs
✅ Smart error handling — retry, stop, or alert you if an API fails
✅ Fine-tune tables, data types, and logic for clean analytics

🎥 Video here: https://youtu.be/sOWq_IT3CSI

🩷🩵 Our blue just got a pink tint — Keboola is now a partner with Make!

Use Make’s visual builder to trigger Keboola jobs, sync apps, and streamline your workflows - all no code.

😏 We’re also cooking up a full library of use cases and tutorials, so stay tuned.

👇 What will your first Make scenario going to be?