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Build Your Own Simple Data Pipeline with Python and Docker

KDnuggets

By Cornellius Yudha Wijaya , KDnuggets Technical Content Specialist on July 17, 2025 in Data Science Image by Author | Ideogram Data is the asset that drives our work as data professionals. Thus, securing suitable data is crucial for any data professional, and data pipelines are the systems designed for this purpose.

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Building End-to-End Data Pipelines: From Data Ingestion to Analysis

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By Josep Ferrer , KDnuggets AI Content Specialist on July 15, 2025 in Data Science Image by Author Delivering the right data at the right time is a primary need for any organization in the data-driven society. But lets be honest: creating a reliable, scalable, and maintainable data pipeline is not an easy task.

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Data pipelines

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Data pipelines are essential in our increasingly data-driven world, enabling organizations to automate the flow of information from diverse sources to analytical platforms. What are data pipelines? Purpose of a data pipeline Data pipelines serve various essential functions within an organization.

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Building End-to-End Data Pipelines with Dask

KDnuggets

Learn how to implement a parallelization process in your data pipeline.

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Apache Airflow® Crash Course: From 0 to Running your Pipeline in the Cloud

With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production.

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Data Pipelines For AI Agents: Building The Backbone Of Intelligent Automation

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Shinoy Vengaramkode Bhaskaran, Senior Big Data Engineering Manager, Zoom Communications Inc. As AI agents become more intelligent, autonomous and pervasive across industries—from predictive customer support to automated infrastructure management—their performance hinges on a single foundational …

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

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Get a Demo Login Try Databricks Blog / Platform / Article What’s New with Azure Databricks: Unified Governance, Open Formats, and AI-Native Workloads Explore the latest Azure Databricks capabilities designed to help organizations simplify governance, modernize data pipelines, and power AI-native applications on a secure, open platform.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs.

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results.