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Field notes from the build.
Practical writing on getting data and AI into production, from the senior practitioners doing the work. No hype, no boilerplate.
8 posts
Data MigrationsThe Legacy Billing Job Ran One Last Time. The New Pipeline Ran the Same Day.What a parallel run proves that a runtime number can't.Sep 23, 2026 · 5 min read
AI & Machine LearningDatabricks Data + AI Summit 2025 AnnouncementsDatabricks made a series of significant product and feature announcements during its Data + AI Summit in San Francisco. For those that couldn't attend, I wanted to break down each announcement focusing on what was announced, why it matters, and how we should think about it as practitioners.Jun 11, 2025 · 38 min read
Data EngineeringGetting Ahead of Snowflake Security UpdatesIf you've been using Snowflake and integrating multiple upstream or downstream tools, there are important security-related changes to the way Snowflake is allowing Service Users to operate. If you need help evaluating or migrating your service users, this guide is a great start to helping you understand what needs to be done to comply and be secure using Snowflake Service Users moving forward. Don't wait before getting your integrations updated to be more secure! Blue Orange can help!May 21, 2025 · 6 min read
AI & Machine LearningReaching New Heights with Databricks: A Feature Roundup for Data-Driven SuccessWelcome to our latest Databricks New Feature Roundup! In this edition, we’re exploring some of the exciting new capabilities that Databricks has rolled out recently. From a revamped SQL Editor designed for better productivity and real-time collaboration, to cutting-edge integrations that bring more intelligence and automation to your analytics workflows, these updates aim to make your experience on Databricks more powerful, seamless, and cost-efficient. Dive in to discover how these new features can elevate your data and AI initiatives.Nov 6, 2024 · 5 min read- Data & AI StrategyData Strategy: One Platform, Greater GainsIn today's data-driven business landscape, organizations face a common challenge: how to transform an increasingly complex data ecosystem into a cohesive, value-generating engine. While many enterprises have invested heavily in various data tools and technologies, this fragmented approach often creates silos, reduces efficiency, and limits the potential of data initiatives. The solution? Centralizing your data estate around a unified platform.Oct 31, 2024 · 10 min read
Data & AI StrategyLakehouse: The Best Data WarehouseThe exponential increase in data variety, veracity, and volume brings the challenge of effectively storing, sorting, manipulating, and driving decisions using this data. Data warehouses, data lakes, and data lakehouses are the different data management architectures, each with their share of benefits and challenges. Find out how Lakehouse is the best data management solution for your needs and how Blue Orange can help.Sep 18, 2024 · 8 min read
Data ArchitectureStreamFlake: Real-Time CDC Pipeline with Kafka and Snowflake🚀 In a modern enterprise, there are several compelling reasons why you would/should want to replicate changes from one place to another, and even more for doing it constantly, reliably, efficiently, and fast. In this article, we will show how we replicated not one but several databases into Snowflake in real time with a lot of cool features like automatic table replication, schema evolution, and deduplication.May 31, 2024 · 12 min read
Data ArchitectureCloud Architecture: Build vs. Buy?More and more organizations are relying on public cloud services. However, being in the cloud does not mean the same thing for all. Some organizations choose to implement and maintain their own cloud architectures. Others prefer to use entirely managed services, such as Snowflake’s cloud data platform. While the former has complete control over the architectures they are using, the latter enjoy never having to worry about infrastructure maintenance.May 24, 2022 · 6 min read
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