All resources

Lessons in Data Movement from the field

Behind every data pipeline are people—developers, engineers, leaders—trying to make it all work. “Lessons in Data Movement from the Field” reveals how fragile systems drain teams and undercut progress, and why adaptability is the key to unlocking their full potential.

Andy Guy
Whitepapers
9/16/2025
6
min
Lessons in Data Movement from the field
Andy Guy
Whitepapers
9/16/2025
6
min

Your browser doesn't support PDFs. Download the PDF.

Preview PDF
Case studies

See how other clients use EASL

Regional Bank Infrastructure
PDF

Unlocking Tech System Gridlock after FinServ M&A

Scaling AI training
PDF

Data Migration Success Story

We've been collecting the most valuable resources for last ten years
See all case studies

More Posts

John Derham
8/20/2025
6
min

Caveat Innovator

Every organization reaches a moment of pause—a threshold between what’s familiar and what’s possible. This whitepaper challenges the illusion of progress that dominates many businesses today. It explores why real innovation requires unlearning, why adaptability beats optimization, and what it takes to move forward when legacy systems (and mindsets) hold you back.

John Derham
7/30/2025
8
min

You Don't Need More Data Engineers. You Need DataDevOps

The gap between DevOps and data is creating friction your teams can’t fix with more tools. Most systems weren’t built to handle today’s speed, scale, or volatility, and it shows. When your data teams are tied up fixing pipelines and babysitting legacy solutions, progress grinds to a halt. This paper lays out a practical framework for DataDevOps: what it is, where traditional approaches fall short, and how to start building infrastructure that adapts by default.

Nate Weiss
6/24/2025
11
min

There's a Better Way: Achieving Adaptable Data Movement in a Constantly Changing World

This whitepaper explores the impossible loop that many data engineering teams are frequently stuck in. They're asked to scale systems that break under pressure, integrate with platforms that weren't built to work together, and deliver real-time insights from infrastructure designed for batch processing. It examines the actionable ways data teams can reduce the frequency of manual error fixes, and reclaim time for core platform development which actually moves a business forward.

Start today

You got it. It’s time to solve your data infrastructure issues all at once

We're data geeks who love to chat with anyone who appreciates clean infrastructure and issue-free data streams.

Book a demo
Get a case study