A new hope - Hadoop modernization on your terms to power an AI centric enterprise

Data in your Hadoop-based architectures hold significant value but remains confined by outdated technology practices not built for an advanced analytics or AI centric enterprise. Traditionally, enterprises have been forced to conform to rigid cloud-only technology requirements for Hadoop modernization—but that stops today.

With 95% of the new digital apps being built on cloud infrastructure, the on-premises data in your Hadoop environment needs to be leveraged effectively. Learn how you can take a phased approach to your Hadoop modernization that fits your data strategy. In this session we cover: 

1. Your options – yes, you have options! From quick analytics performance gains and cost reduction without ripping out your entire on-premises infrastructure to powering the next wave of innovation with a cloud centric architecture
2. Real use cases – learn how leading banks, technology providers, and manufacturers are benefiting from a phased modernization on their terms 
3. Best practices – curated recommendations to engrain into your modernization strategy
4. Short but important context– How Trino, one of the most powerful SQL engines in the world was built to solve the performance challenges of Hadoop and how Icehouse brings an open data lakehouse to life

Don’t miss the technical sessions that will follow in the weeks after this webinar were we dive into engine upgrades, modern hybrid architectures, and building cloud centric and open data and analytics architecture.