For companies looking to leverage the power of AI at scale, modernizing data engineering is not a choice, it’s a requirement. Doing that right means having the ability to automate the discovery, integration, and transformation of source data directly into Databricks, while tapping into the Databricks AI Functions for advanced functionalities directly within workflows, making it easier to deploy AI-driven transformations and analysis. During this session, learn how to Qlik integrates with Databricks AI Functions, and automates real-time complete end-to-end data pipelines that are low or no-code. Spend less time integrating and transforming data and more time performing rich AI driven analysis, LMM fine tuning, and feeding ML and generative AI models like Databricks DBRX. Join this session and learn how to Qlik Talend Data Integration automate the delivery and transformation of hundreds of sources of data, including SAP to the Databricks Intelligent Data Platform while reducing costs and latency.

globe is seamlessly integrated into Databricks, unifying retail analytics like never before. During this session, discover how Trek Bicycles leverages Databricks and Qlik Cloud Data Integration to accelerate replication of relevant ERP data to their lakehouse from 48+hours to near real-time, feeding the bronze layer in seconds after the data is generated in stores. You'll see how Trek uses Structured Streaming and Auto Loader functionality within Delta Live Tables to transform the data from Bronze to Silver or Gold, medallion architecture.

For many years now, Michelin has been on the road to becoming more of a data-driven company every day. That's why it is key to bring the ERP data on a datalake, embracing a Data Mesh architecture, to unleash the power of business users to perform analysis. But what if you brought the data in real-time? Have inventory transactions updated in less than a minute? This is a game changer. This testimony is the story behind the scenes when it comes to implementing a change data capture system on a 15 terabyte Oracle E-Business ERP with multiple instances, implementing tools such as Kafka, Qlik, Oracle Golden Gate, Databricks Delta Live Tables, Structured Streaming, Dremio and PowerBI.