An interview with Shruti Bhat about the state of the ecosystem for real-time data applications and the motivating factors for when and how to build them.

An interview with Shayan Mohanty about the challenges of building repeatable data labeling processes and how Watchful is building a platform to let domain experts codify their knowledge for automated

An interview with Shinji Kim about the challenges of collecting contextual metadata for your information assets and how to organize it to power effective data discovery for everyone in the business

An interview with Paolo Platter about the experience that he and his team at AgileLab have had implementing Data Mesh strategies at multiple organizations and the repeatable patterns that they have bu

An interview with Frank Liu about the open source vector database Milvus and how its native storage of vector embeddings reduces the friction involved in building and deploying machine learning models

An interview with Ernie Ostic about the Manta platform and how it approaches the collection and processing of metadata to build a comprehensive view of data lineage across your various data systems

An interview with David Bader about the Arkouda framework for exploratory data analysis at interactive speeds across massive data sets and how it supports operating from a single laptop to multiple se

An interview with Joe Reis and Matt Housley about their experience and insights gained while writing the book "Fundamentals of Data Engineering" and the inherent challenges of offering a sin

An interview with Nick Schrock about the role of the data orchestration engine in making sense of the modern data stack and how Dagster's support for software defined assets simplifies the work of bui

An interview with Mark Etherington, CTO of Crux, about the cost and complexity involved in external data integration and how their platform is engineered to make it manageable for organizations of all