YR1 at Cloudera

Today marks my 1YR anniversary at Cloudera . The team and I have been mighty busy over the last year that seems like a blur among all our funtivity delivering releases such as AI Inference Service, AI Chatbot for Data Viz, SQL Assistant with NU, Accelerators for ML projects – RAG with K Graphs and PromptBrew, Iceberg REST Catalog, Kubernetes for Data in Moton, Observability Premium, Private Link Network, NVIDIA integration for NIM Microservices, Snowflake integration for hybrid data mgmt, and several game-changing offerings. It is a good time to checkpoint, reflect, and inform my network that we are just getting started at the new Cloudera. Our best is yet to come.

The enterprise debate over on-prem vs. cloud has been brewing for more than a decade; AI and LLMs have settled it: It’s neither. It’s both!

Cloud Flexibility vs. Cost: Cloud isn’t always cheaper. While its flexibility is its biggest selling point — autoscaling and paying for what’s used. However many of you in large corporations have found yourselves in the cost trap. It isn’t just my perspective and having worked on cloud since the inception of AWS in 2008 before it had a login screen; even?Gartner report states more than 70%?of cloud cost get wasted due overprovisioning if you don’t have the right telemetry and operational controls.?In this era, where AWS says customers are turning back on-prem to train foundational models and AI workloads, Cloudera is your trusted partner to repatriate workloads.

Data Gravity & Residency: Who’s got control? For our customers who operate in regulated industries — storing data in the cloud can lead to complications around?data sovereignty. Plus, depending on your cloud provider(s), your data could be stored in another country, exposing it to foreign jurisdiction. At Cloudera, we offer a multi-cloud and hybrid cloud platform that gives our customers options. This way, we are customer obsessed providing data concierge service for managing the data estates while innovating on behalf of our customers.

Think hybrid cloud and multi-cloud for enterprise AI today, and for your data virtualization tomorrow.