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The Databricks-Neon Acquisition: A Paradigm Shift for Data Development Workflows 🚀

Imagine a world where data teams can spin up isolated database environments as easily as software developers create code branches. The $1 billion acquisition of Neon (Neon Serverless Postgres — Ship faster) by Databricks is making this vision a reality, fundamentally...

Why It’s Time to Migrate from AWS Redshift to Databricks 🚀

Is your data warehouse slowing you down? If you’re using AWS Redshift and grappling with scalability issues or spending too much time on maintenance, you’re not alone. Many businesses are looking for a more modern, flexible solution — and Databricks is stealing the...

Maintaining Databricks Runtimes: Why It’s a Big Deal for Your Business Success 🚀

In today’s data-hungry world, Databricks has become the go-to platform for organizations leveraging analytics, machine learning, and data engineering to drive business outcomes. At the heart of this platform is the Databricks Runtime — a powerful software layer that...

Getting your Enterprise Data ready for GenAI

As enterprises race to harness the power of Generative AI (Gen AI), they often overlook the key factor; data readiness. While the promise of AI-driven insights, automation, and innovation is attractive, the quality of these outcomes depends on how well-prepared your...

Choosing an Iceberg catalog: a beginner’s journey 🧊💥🔧

Icebergs reduce our lock-in, with a whole new world of flexibility Iceberg tables offer a lot of the great features we know and love in Snowflake and Databricks, with the added benefit of (ostensible) vendor-agnosticism and therefore reduced lock-in. Good news! Every...

Comparing AzureML MLOps v2 Accelerator and Azure Databricks MLOps Stacks Accelerator 🚀

Machine Learning Operations (MLOps) is a set of practices that combines Machine Learning (ML), DevOps, and Data Engineering to automate the end-to-end machine learning lifecycle. In this blog post, we will compare two popular MLOps accelerators: AzureML MLOps v2 and...