Any modern enterprise generates reams of data, which can be difficult to correctly store, process, and use without the right approach.

This has become even more important in the face of AI. Before any leader can begin implementing AI across their workflow, they must first ensure they’ve prepared data at the right scale – and across its entire lifecycle.

Data integration, in which data from across a business is combined into a single stream, can be a huge help here. But where do you start with this? And where do open data formats fit into this mix?

In this episode, in association with Informatica, Jane and Rory are joined by Eric Ho, senior director product management at Informatica, to discuss data integration at scale and explore the evolution of open table formats for modern data architectures and data warehousing.

Read more:

• Structured vs unstructured data management
• Only a handful of generative AI projects make it into production – here’s why
• A quarter of firms still don’t have a formal data strategy – and it’s hampering AI adoption
• What is Delta Lake in Databricks?
• Why your business needs data protection policies