An interview with Jon Herke about the capabilities that TigerGraph provides for modeling and analyzing highly connected datasets in a fully managed native graph database engine.

An interview with Ed Thompson, CTO of Matillion, about building a sustainable business and powering low maintenance data integration pipelines in the cloud

An interview with Doron Porat and Liran Yogev about the organizational constraints and technological requirements that shaped the current architecture of the data platform at Yotpo

An interview with Matthew Halliday about how Incorta uses in-memory processing to power real-time operational analytics and reduce the amount of work involved in gaining insights from your data

An interview with Andy Dang about the open source WhyLogs library and how it simplifies the work of data logging for instrumenting your machine learning workflows and unlocking observability.

An interview with Prineha Narang about what quantum networks are, why they are an important development in the future of the internet, and how you can start preparing to take advantage of them.

An interview with Demetrios Brinkmann and David Aponte about the role of MLOps principles when building machine learning systems and how the data engineer can help make it sustainable.

An interview with Itamar Ben Hemo about the Rivery platform for automated dataops for your ELT workflows and how it is architected to accelerate your time to value.

An interview with John Myers, CTO of Gretel Labs, about the complexities of privacy engineering and how they are reducing the friction involved in securing your datasets for safer sharing.

An interview with Satish Jayanthi about how the Coalesce platform powers enterprise analytics and accelerates their time to insight for workflows in the data warehouse.