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

Scalable Feature Engineering with Tecton on Athena – Derek Salama, Tecton

Scalable Feature Engineering with Tecton on Athena – Derek Salama, Tecton

Tecton is the leading feature platform for real-time machine learning. Rather than build new SQL engines from scratch, Tecton connects to your existing engine to transform raw data into features for machine learning. This talk will cover Tecton’s new integration with Athena for feature engineering. Derek will demonstrate how Tecton with Athena is the fastest way to build feature pipelines and put new models in production.

Querying streaming data with Presto, Amazon Athena and Upsolver

Querying streaming data with Presto, Amazon Athena and Upsolver

In this session, Yoni will present on querying streaming data with Presto and Amazon Athena including performance, data partitioning and compaction. In addition, we will demo using the Upsolver platform with Amazon Athena. In addition, he will share what they are working on with Prestodb.