One of the highlights of the DataOps Unleashed 2022 virtual conference was a roundtable panel discussion on building versus buying when it comes to your data stack. Build versus buy is a question for all layers of the enterprise infrastructure stack. But in the last five years — even in just the last year alone — it’s hard to think of a part of IT that has seen more dramatic change than that of the modern data stack.

The benefits of moving your on-prem Spark Hadoop environment to Databricks are undeniable. A recent Forrester Total Economic Impact (TEI) study reveals that deploying Databricks can pay for itself in less than six months, with a 417% ROI from cost savings and increased revenue & productivity over three years. But without the right methodology and tools, such modernization/migration can be a daunting task.

At the DataOps Unleashed 2022 virtual conference, AWS Principal Solutions Architect Angelo Carvalho presented How AWS & Unravel help customers modernize their Big Data workloads with Amazon EMR. The full session recording is available on demand, but here are some of the highlights.

Unravel’s AI-enabled full-stack observability for the modern data stack simplifies the way data teams monitor, observe, manage, troubleshoot, and optimize the performance and cost of large-scale data applications. Unravel also accelerates data migration to the cloud by providing a data-driven assessment plan to save time and cost while also enabling you to deploy effortlessly.

At the DataOps Unleashed 2022 conference, Google Cloud’s Head of Product Management for Open Source Data Analytics Abhishek Kashyap discussed how businesses are using Google Cloud to build secure and scalable data platforms. This article summarizes key takeaways from his presentation, Building a Scalable Data Platform with Google Cloud. Data is the fuel that drives informed decision-making and digital transformation.