Gesamtlänge aller Episoden: 15 days 23 hours 52 minutes
An interview with the founders of Bluesky Data about their approach to data cloud cost optimization for your Snowflake warehouse and the impact of usage based billing on organizational experimentation
An interview with Raj Bains about how the Prophecy low-code platform for data engineering reduces the burden on everyone by making data workflows more intuitive and understandable.
An interview with Ketan Umare and Haytham Abuelfutuh about the Flyte open source and cloud native data orchestration engine for managing the machine learning lifecycle and their work at Union to make it more approachable
An interview with Srivatsan Sridharan, head of data infrastructure at Robinhood, about his experiences building data lake platforms at Robinhood and Yelp, and how to account for organizational and technical needs while moving the business forward.
An interview with Mário Pereira about how he and his team are building and scaling an industrial IoT analytics and reporting platform at Vopak, a global company responsible for storing and distributing the liquids that power modern society
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 Dan Delorey about his career, from helping to build and scale Dremel at Google, to managing BigQuery in its early days, to his current role as the VP of Data at SofI with many interesting insights along the way
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