Bi Learner

Excited to share that the Microsoft Fabric Data Engineering Project series is finally here!

In this series, I'll build a complete end-to-end Data Engineering project using Microsoft Fabric, sharing practical concepts, real-world scenarios, and hands-on implementation.

I hope this series helps anyone looking to learn or improve their Microsoft Fabric skills.

Video link: https://youtu.be/PG5EOgd2cKs

Looking forward to your support and feedback! 😊

Microsoft Fabric Data Engineering Project End to End || Introduction || Bi Learner || Hindi In this video, I walk t...

Databricks just announced Lakeflow Designer — and it might be the most important ETL announcement for data teams this year.

Here's the problem it solves:

Business analysts know the data. Data engineers build the pipelines. But their tools have always lived in separate worlds — leading to silos, painful handoffs, and pipelines that have to be rebuilt from scratch every time they need to go to production.

Lakeflow Designer changes that.

A drag-and-drop visual canvas so analysts can build pipelines without writing a single line of SQL or Python.

Genie Code — an AI assistant that generates transformations from plain English, grounded in your actual platform metadata (not generic suggestions).

Every pipeline built in Designer is a Lakeflow Declarative Pipeline under the hood — meaning engineers can review, edit, and maintain it without learning a new tool or rewriting anything.

Production-ready from day one: versioned, governed via Unity Catalog, with scheduling, alerting, and full observability built in.

The real headline isn't the no-code canvas. It's now the same thing: what analysts build and what engineers maintain. No translation layer. No rebuild.

Currently in Public Preview on AWS. Worth keeping a close eye on.

I wrote a full breakdown on Medium — link in the comments.

Happy Learning,
Bi Learner

Running multiple pipelines in Microsoft Fabric doesn’t have to be complicated.
Use a simple JSON file + Fabric API to run pipelines one by one — no manual chaining needed.

Clean. Flexible. Easy to scale.
Read this article!

How to Orchestrate Multiple Microsoft Fabric Pipelines Sequentially Using a JSON Config and the… Managing multiple pipelines in Microsoft Fabric can get messy — especially when you need strict ex*****on order. Instead of hardcoding…

Hello everyone!

I have started posting my content on Facebook. I hope you will learn more about visualization techniques, such as Power BI and data engineering, among other topics.

Happy Learning!
Bitool Learner 😊