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    Stop Letting Your Airflow Config Live in Someone's Head

    Data Engineering February 24, 2026

    If your Airflow Variables, Connections, and secrets only exist in the UI or someone's memory, you don't have a config strategy, you have a time-bomb. Here's how to actually fix that.

    By John Wassilak Read more →

    Keep Your Pipelines Portable: The Case for Decoupled Airflow

    Data Engineering February 17, 2026

    Learn how to build portable, testable data pipelines by containerizing your ETL logic and using Airflow purely as a scheduler, keeping your code independent from any specific orchestration tool.

    By John Wassilak Read more →

    Streamlining Data Pipelines: Leveraging Distributed Airflow Workers Across Customer Networks

    Data Engineering February 10, 2026

    Stop fighting for inbound VPN access. Put your Airflow workers where the data lives and let them call home.

    By John Wassilak Read more →
    AI Beyond the Hype

    Getting Started: Your First AI Batch Pipeline

    Data Strategy January 20, 2026

    A practical guide to building your first AI batch processing pipeline. From identifying the right problem to architecture patterns and common pitfalls to avoid.

    By Chris Sparks Read more →
    AI Beyond the Hype

    Human-AI Workflows That Actually Work

    Data Strategy January 15, 2026

    100% automation isn't the goal. Learn how to build hybrid systems where AI handles the bulk and humans handle exceptions, achieving better results than either alone.

    By Chris Sparks Read more →
    AI Beyond the Hype

    The Economics of AI Batch Processing

    Data Strategy January 13, 2026

    AI is expensive for chatbots. Batch processing has different economics. Learn about batch API discounts, model selection, and when AI costs less than human labor.

    By Chris Sparks Read more →
    AI Beyond the Hype

    The Dirty Data Problem AI Was Made For

    Data Strategy January 8, 2026

    Every organization has decades of data trapped in formats machines couldn't understand. LLMs change that. Here's how AI solves the dirty data problem traditional automation couldn't crack.

    By Chris Sparks Read more →
    AI Beyond the Hype

    Is AI a Bubble? Maybe. Here's What Won't Burst.

    Data Strategy January 6, 2026

    The AI bubble question is everywhere. Valuations are stretched. Skepticism is warranted. But bubbles burst speculation, not value. Here's what's real and why you shouldn't sleep on it.

    By Chris Sparks Read more →

    5 Data Strategy Resolutions for 2026 That Your Executives Will Actually Notice

    Data Strategy December 30, 2025

    Forget the tech debt. These strategic shifts change how your organization uses data, and they start with conversations, not code.

    By John Wassilak Read more →

    You Should Outsource Your Data Engineering

    Data Consulting December 16, 2025

    Data engineering and platform development often benefit from outsourcing or hybrid staffing. Learn when to hire consultants vs. full-time engineers for your organization.

    By John Wassilak Read more →
    Building Your Data Strategy

    Executing and Evolving: Quality, Insights, and Future-Proofing

    Data Strategy December 11, 2025

    Data quality isn't a one-time fix, learn how to execute, measure, and evolve your data strategy to drive real business impact while staying ahead of change.

    By John Wassilak Read more →
    Building Your Data Strategy

    Making Data Strategy Work: People, Culture, and Governance

    Data Strategy December 4, 2025

    Your data strategy will fail without the right culture. Learn how to build executive buy-in, drive data literacy across your organization, implement governance that enables rather than restricts, and overcome resistance to change.

    By John Wassilak Read more →
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