Long-form essays from the engineers shipping AI inside payers, hospitals, energy operators and proptech platforms. Written for technology leaders who care more about what runs in production than what trended last week.
Study much more on building a world-class analytical & data infrastructure using tried and true architectural methods to support scalable solutions.
Enterprise teams should learn how to migrate to a modern data platform using this step-by-step enterprise-based migration guide. To avoid risk and scale reliably.
Learn ways to scale your data engineering team and data infrastructure management from 3 to 30 engineers with the correct structure, process and architecture.
Learn how modern data infrastructure works by 2026, the importance of an API first data infrastructure and how to implement scalable and reliable data infrastructure.
Learn Cloud Reliability and Resilience patterns in 2026 for mission-critical systems: design, failure modes, and the operating model behind uptime.
This guide offers a complete walk-through to create a data infrastructure and data analytics environment for a true Customer 360 - providing guidance on avoiding pitfalls when unifying data across…
This guide will help you understand how to measure your data infrastructure's ROI (return on investment) and communicate the value it produces to your key stakeholders through common frameworks…
This 40-question framework will aid you in assessing data infrastructure vendors. This will help you make better decisions based on pricing, performance, and scalability.
Learn how to use Python for automating various forms of data-related infrastructures, including tools and processes implemented by contemporary data engineers.
This Blog provides practical examples for CTOs and Data Leaders about how the strategy of Data Infrastructure creates a real data-centered culture.
Compare Kafka, Flink, and cloud-based streaming data infrastructures for AI. Learn the pros/cons, performative characteristics, and best use cases.
Is a data lakehouse right for your business? Find out when you should be using a modern data architecture that includes a lakehouse.
Discover how to create a rationale for your data infrastructure investment - ROI frameworks, cost modelling, and real-world examples.
Learn how to build, measure and report on metrics for data infrastructure strategy that actually drive performance and trust.
A clear step-by-step guide to help engineering teams successfully run a data infrastructure solutions PoC.
Understand how data infrastructure and analytics will evolve through 2027 with a focus on building AI-ready systems and consolidating platforms.
Learn how to audit your data infrastructure strategy, measure maturity, and build a scalable roadmap for reliability, observability, and AI readiness.
Discover the key data infrastructure trends that will influence 2027 and how engineering leaders can build AI-ready and scalable systems today.
Find out about data infrastructure careers in 2026, what's expected of engineers and developers within contemporary data platforms, and how to develop them for success in the future.
Discover the Data Infrastructure Solutions Vendor landscape for 2026-comparing vendors and categories while learning how best to choose the right platform.
Need to compare a data mesh vs a data fabric? Learn the key differences, how to weigh the trade-offs and determine which approach is right for your team in 2026.
Learn Data Warehouse Concepts in 2026 and how to use Architecture, Tools, and Best Practices to Build Scalable Analytics Systems.
A user's manual for sustainable, quality data through verification of modern data frameworks, as well as validation methods to eliminate production failures (or data loss).
Explore how DataOps and CI/CD for data pipelines enhance the reliability, speed, and scalability of DataOps as seen from an engineering leader's standpoint.
One long-form essay every other Wednesday. Written by the engineers shipping production AI for our clients, not by a content team. No promotional emails. Unsubscribe in one click.
