Simplifying Data Management through Metadata Integrations and AI Infusion – Kevin Shen, IBM

Simplifying Data Management through Metadata Integrations and AI Infusion – Kevin Shen, IBM

In this demo we’ll go through two key pieces of watsonx.data, IBM’s new Data Lakehouse offering. Multiple analytics engines working on the same data: – Demo: Multiple engines working on the same data set so you can use the analytics tools you love without having to deal with the ugly plumbing Semantic Automation: Leverage AI to simplify data discovery and manipulation, allowing your data to work for you – Demo: Using a chat interface to find tables of relevance and how AI can enrich data sets with semantic information

Executing Any External Code in Any Language with Presto – A Universal Connector – Ravishankar Nair

Executing Any External Code in Any Language with Presto – A Universal Connector – Ravishankar Nair

Connector based architecture is one of the powerful features in Presto for extensibility. While we have a solid pack of many connectors, the ability to reuse an existing external snippet to fetch data and access through Presto will make it enormously helpful. For example, consider accessing mainframe code through Presto using simple SQL which is quite cumbersome to handle by creating a connector paradigm. Ravishankar explores how he implemented this feature using a protocol server and a protocol connector which eventually helped him to achieve a patent on the concept.