Given that I can seemingly never just leave well enough alone, I recently decided to pick up a used 8-core/16-thread Intel Core i9-9900K CPU off eBay to āupgradeā my NAS (which was running a humble 6-core i5-9500T). The idea was simple: 16 threads would let me dedicate 8 to…
After something of a homelab hiatus, Iām back at it in full force. Although Iāve had the hardware for a while, Iād been putting off migrating my Plex/Arr stack (and its ever-growing media library) from my Dell R730 Proxmox server to my DIY Unraid NAS. The…
While it's probably not the best thing to admit, I've been neglecting my homelab for some time now. Gotify had been giving me errors for a at least a month and eventually seemed to stop working entirely. So it wasn't a complete surprise when…
Weāve covered everything from architecture to performance and cost management in Azure Synapse. Now, letās close out the series with a practical guide to monitoring, troubleshooting, and applying best practices to keep your data warehouse running smoothly. Even the best-designed pipelines need visibility and tuningāthis is where…
In previous posts, weāve talked about designing tables, distributing data, and writing efficient queries. Now letās turn our attention to resource managementāa crucial area for both performance and cost control in Azure Synapse Dedicated SQL Pools. Synapse gives you tools to scale compute, manage concurrency, and minimize…
Once youāve designed your tables and chosen the right distribution strategy, the next big lever for performance is query optimization. In Azure Synapse Dedicated SQL Pools, this means writing efficient SQL, minimizing data movement, and ensuring the engine has the information it needs to generate the best query plan.…
Now that weāve explored why Azure Synapse is such a powerful platform for cloud-scale analytics, itās time to dig into one of the most important aspects of performance tuning: table design and data distribution. Azure Synapse uses an MPP (Massively Parallel Processing) engine under the hood. That means…
Bringing robust DevOps practices to cloud data platforms is crucial for delivering scalable, reliable solutions. In this post, Iāll walk through how we implemented a streamlined CI/CD pipeline for Azure Synapse Analytics using Azure DevOps. This setup enables our team to safely promote changes from development to production…