The Ultimate Apache Spark Guide: Performance Tuning, PySpark Examples, and New 4.0 Features
The ultimate guide to Apache Spark. Learn performance tuning with PySpark examples, fix common issues like data skew, and explore new Spark 4.0 features.
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What Are Apache Flink Watermarks? A Beginner’s Guide to Handling Late Arrival Data
Struggling with late or out-of-order data? Learn how Apache Flink Watermarks work with event time to build accurate, reliable real-time stream processing systems.
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Data Engineering Heats Up in June 2025: A Look at the Latest Developments
Stay current with the essential data engineering news from June 2025. This monthly roundup covers the biggest announcements from Databricks’ Data + AI Summit, new Snowflake features, Apache Flink updates, and the growing role of AI and Apache Iceberg in the data landscape.
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Automate Social Media Like a Pro (Almost Free): Using n8n + DeepSeek AI
Learn how to build a powerful, low-cost AI social media scheduler using n8n and DeepSeek. Automate content creation, shorten links, and schedule Twitter posts—without paying for Buffer, Hootsuite, or ChatGPT
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10 Best Books on Data Analytics with AI Agents – Read Before You Build!
Looking for the best books on data analytics and AI agents? Discover top-rated titles with summaries, user reviews, and expert recommendations for every data enthusiast and AI innovator.
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Don’t Get Tripped Up! 10 Common Data Engineering Pitfalls
Learn how to avoid 10 common data engineering pitfalls—like Spark data skew, Airflow retry chaos, schema drift, and more—with practical solutions
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Beyond Basic Prompts: LLM + MCP Tackling Real-World Challenges—The Airflow 3.0 Auto-Update Example
Learn how LLM + MCP synergy revolutionizes complex tasks. An Apache Airflow 3.0 case study demonstrates auto-updating DAGs and overcoming AI limitations.
Data Engineering in 2025: A Practical Guide for New Grads Entering the AI-First Era
Explore how AI in data engineering is shaping the future. This 2025 guide helps new grads build the skills, tools, and mindset to thrive in a cloud-driven, AI-first world.
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The AI Wake-Up Call for Data Engineers: Why LLMs + MCP Matter Now
AI isn’t coming for data engineering — it’s becoming part of it. In this post, I explore how Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) are transforming how data engineers build, query, and integrate modern data systems. Real-world tools like Cline, Cursor, and DuckDB show that the AI future of data engineering is already here.
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Unboxing Apache Airflow 3.0: What’s New, What’s Gone, and Why It Matters
Explore the latest features, UI updates, and key changes in Apache Airflow 3.0. This deep dive covers DAG versioning, event-driven scheduling, Docker setup, and more for data engineers and workflow automation pros.
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