What’s New Type BlogEvents & Workshops What your autistic colleague wished you knew … Autism isn’t always visible, and many of the challenges that neurodiverse workers deal with aren’t obvious from the outside. This post tries to explain some of the behaviours at work... Our AI-Driven Approach for Synapse to Fabric Migrations Traditionally, data platform migrations can take weeks or months, are manually intensive and prone to errors. This blog walks through how Coeo can accelerate this using our team of experienced consultants and AI-powered tools. Configuration of Max Worker Threads in SQL Server In this blog, we will break down what Max Worker Threads are, how SQL Server uses them, and when you should change the default value. Order from Chaos As AI becomes embedded in everything, this blog explores why the real risk isn’t the technology itself but the quality of the data behind it, and why getting your data... 10 Databricks Performance Tuning Techniques Every Team Should Know Ten essential performance tuning techniques for optimising Databricks workloads Microsoft Fabric for Business Leaders How to Make Faster Decisions, Cut Costs, and Actually Use Your Data The 5 Stages of Data Engineering Grief AI is reshaping what it means to be a developer Lakebase Explained: Why Databricks Is Blending OLTP, Analytics and AI and What That Means for Your Architecture A breakdown of Databricks Lakebase, what it does, where it fits and when it makes sense to converge transactional, analytical and AI workloads. SQL Server Indexing 101: Why Everything Feels So Slow This post explains how the right indexing choices can dramatically improve performance and why small fixes make such a big difference. CosmosDB vs SQL Server – Which is the right option for your data? Understanding your data, workload, and cost trade-offs so you can use the right tool for your organisation. Azure Pricing in Interesting Times Azure pricing isn’t only driven by usage and reservations; currency exchange rates can cause unexpected cost swings, even when nothing in your platform has changed. Agentic AI in Data Engineering Is agentic AI the key to better data engineering at scale, or a fast track to inconsistency? Posts pagination << 1 2 3 4 … 9 >>
