In this episode, Sean Falconer sits down with Eric Flaningam, a researcher at Felicis Ventures, to explore the fascinating world of data warehouses. They dive into the history, evolution, and future trends of data warehousing, shedding light on its importance.
Key topics discussed include an overview of the article "A Primer on Data Warehouses," and the definition and key characteristics of data warehouses. They also cover the historical evolution and major milestones in data warehousing, the shift from batch processing to real-time data, and the convergence of data warehouses and SQL.
Eric and Sean discuss the impact of unstructured and complex data, advancements in technology and their effect on data warehouses, and the technical architecture and components of a typical data warehouse. They share real-world benefits and use cases of data warehouses, common challenges in implementing and maintaining data warehouses, and future trends and the influence of AI and machine learning on data warehouses.
For further reading, check out Eric Flaningam’s article, A Primer on Data Warehouses.
In this episode, Sean sat down with Jack Godau to dive deep into the world of pseudoanonymization. Jack shared how pseudoanonymization differs from anonymization, explaining its value for maintaining data utility while complying with stringent regulations like GDPR.
In this episode we explore how certificates and TLS function, the inherent difficulties in managing internal TLS certificates, and why nearly every engineer has a horror story related to it.
In this episode, we sit down with Ori Rafael, CEO and Co-founder of Upsolver, to explore the rise of the lakehouse architecture and its significance in modern data management.