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Welcome to Day 5 of the “24 Days of Fabric” series! In this session, we explore how to perform data cleaning and ...

Welcome to Azure Databricks Zero to Job-Ready — a practical, hands-on course for learning Azure Databricks and Data ...

Master PySpark Data Transformations — from basics to joins! In Part 1 of this series, we'll explore the most important foundational ...

... PySpark transformations to help you improve your Data Engineering skills. FREE PYSPARK NOTEBOOK — DOWNLOAD ...

In this video, we clean and transform real Olist e-commerce data using a PySpark notebook inside Microsoft Fabric. This is ...

If you are looking for Online Training please send me an email : gadvenki86@gmail.com

Full tour of the Databricks Notebooks UI, and why notebooks beat Python files for data work. - *Full free Databricks course* ...

Already know SQL but struggling to understand PySpark? This video is for you! If you work in Data Engineering and already ...

In this video, we walk through an end-to-end PySpark notebook example to analyze sales data. We start by loading a CSV file ...

FREE PYSPARK TUTORIAL – MICROSOFT FABRIC NOTEBOOK OVERVIEW: Complete PySpark tutorial with 13 sections ...

In Microsoft Fabric we can choose to store our data in Lakehouse or Warehouse. With Warehouse we get T-SQL and all the nice ...

In this video I open my first Azure Databricks notebook and show you how cells, languages, and compute actually work together ...

SETUP CODE Open a Python notebook with Databricks compute. Run this setup, then follow the examples shown in the video.

Episode 4 moved the raw sales data into our Lakehouse automatically. Now we clean it. In this video we open a Fabric Notebook ...

Welcome to Episode 10 of the Microsoft Fabric Learning Series on the NDAC YouTube Channel! After exploring SQL Analytics ...

Designing Rule-Driven Transformation Engine in PySpark (Without Losing Your Sanity) - THOMAS SCARDONI - PyCon Italia ...

Raw → Bronze → Silver → Gold Architecture 1. How to organize data in a scalable lakehouse 2. Ingest data into the Raw layer 3.

Use sc.parallelize([...]) to create RDDs Prefer take(n) or count() for checks; avoid collect() on very large datasets Define functions ...

Welcome to Episode 5 of the DP-700 Microsoft Fabric Certification Series. In this session, we move beyond low-code Dataflow ...