Systems | Development | Analytics | API | Testing

Introducing Accelerator for Machine Learning (ML) Projects: Summarization with Gemini from Vertex AI

We’re thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): “Summarization with Gemini from Vertex AI”. An AMP is a pre-built, high-quality minimal viable product (MVP) for Artificial Intelligence (AI) use cases that can be deployed in a single-click from Cloudera AI (CAI). AMPs are all about helping you quickly build performant AI applications. More on AMPs can be found here.

Building a FinOps Ethos

In today’s data-driven enterprises, the intersection of fiscal responsibility and technical innovation has never been more critical. As data processing costs continue to scale with business growth, building a FinOps culture within your Data Engineering team isn’t just about cost control, it’s about creating a mindset that views cost optimization as an integral part of technical excellence.

Product Flyover - FX Loader

In today's fast paced financial world, maintaining precision and speed in managing foreign exchange rates is more crucial than ever. Professionals face the constant demand for accurate and timely data, as even minor errors can lead to significant financial consequences. This pressure often pulls focus away from strategic growth. FXLoader from insightsoftware steps in as the seamless solution to these challenges.

Snow Report: What's Happening At Snowflake In December

What's going to happen in AI in 2025? Read December's edition of the Snow Report to get the predictions from top data AI experts. Also in this issue, a demo video on how to get started with Snowflake Notebooks (now in GA), info about Open Catalog, news about updates to Hybrid Tables and the Native App Framework, and much more!

Cloudera announces 'Interoperability Ecosystem' with founding members AWS and Snowflake

Today enterprises can leverage the combination of Cloudera and Snowflake—two best-of-breed tools for ingestion, processing and consumption of data—for a single source of truth across all data, analytics, and AI workloads. But now AWS customers will gain more flexibility, data utility, and complexity, supporting the modern data architecture.