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Build ETL Pipelines for Data Science Workflows in About 30 Lines of Python

KDnuggets

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on July 8, 2025 in Data Science Image by Author | Ideogram You know that feeling when you have data scattered across different formats and sources, and you need to make sense of it all? Every ETL pipeline follows the same pattern.

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Build Your Own Simple Data Pipeline with Python and Docker

KDnuggets

Building the Data Pipeline Before we build our data pipeline, let’s understand the concept of ETL, which stands for Extract, Transform, and Load. ETL is a process where the data pipeline performs the following actions: Extract data from various sources. Transform data into a valid format.

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What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads

databricks

For engineering teams, the underlying technology is open-sourced as Spark Declarative Pipelines , offering transparency and flexibility for advanced users. Lakebridge accelerates the migration of legacy data warehouse workloads to Azure Databricks SQL.

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The Ultimate Guide to Vibe Coding: 6 Powerful Frameworks Transforming Software Development

Data Science Dojo

Instead of sweating the syntax, you describe the “ vibe ” of what you want—be it a data pipeline, a web app, or an analytics automation script—and frameworks like Replit, GitHub Copilot, Gemini Code Assist, and others do the heavy lifting. Learn more about LLMs and their applications in this Data Science Dojo guide.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Go vs. Python for Modern Data Workflows: Need Help Deciding?

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Data engineer

Dataconomy

Data engineers are the unsung heroes of the data-driven world, laying the essential groundwork that allows organizations to leverage their data for enhanced decision-making and strategic insights. What is a data engineer?

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What’s New: Lakeflow Jobs Provides More Efficient Data Orchestration

databricks

Over the past few months, we’ve introduced exciting updates to Lakeflow Jobs (formerly known as Databricks Workflows) to improve data orchestration and optimize workflow performance. Refreshed UI for a more focused user experience We’ve redesigned our interface to give Lakeflow Jobs a fresh and modern look.