This show goes behind the scenes for the tools, techniques, and difficulties associated with the discipline of data engineering. Databases, workflows, automation, and data manipulation are just some of the topics that you will find here.
https://www.dataengineeringpodcast.com
Gesamtlänge aller Episoden: 16 days 42 minutes
Exploring Incident Management Strategies For Data Teams
An interview with Mei Tao and Francisco Alberini about their experiences working with data teams as they adopt data observability and incident management strategies and how to start introducing those practices into your own work.
Accelerate Your Embedded Analytics With Apache Pinot
An interview with Kishore Gopalakrishna and Xiang Fu about how the Apache Pinot storage engine is designed to support low latency, high concurrency, and fast updates for powering end-user facing embedded analytics in your applications.
Accelerating Adoption Of The Modern Data Stack At 5X Data
An interview with Tarush Aggarwal about his work at 5X Data to help organizations adopt the modern data stack to advance their analytical capabilities and accelerate their business.
Taking A Multidimensional Approach To Data Observability At Acceldata
An interview with Tristan Spaulding, head of product at Acceldata, about the goals and challenges of data observability and how they are looking to differentiate themselves through a multidimensional approach to the problem (and what that means).
Move Your Database To The Data And Speed Up Your Analytics With DuckDB
An interview with Hannes Mühleisen about the DuckDB engine for in-process OLAP queries that lets you use the power of SQL and the flexibility of programming languages side by side.
Developer Friendly Application Persistence That Is Fast And Scalable With HarperDB
An interview with Stephen Goldberg, CEO of HarperDB, about how he and his team are building a fast, scalable, and developer friendly database engine that supports edge, cloud, and datacenter environments.
Reflections On Designing A Data Platform From Scratch
A monologue by Tobias Macey, the host of the show, about the design considerations involved in building a data platform and how the lessons learned from running the Data Engineering Podcast are influencing the choices made.
Manage Your Unstructured Data Assets Across Cloud And Hybrid Environments With Komprise
An interview with Krishna Subramanian about how Komprise is addressing the challenge of managing unstructured data assets across operating environments without losing your sanity.
Understanding The Immune System With Data At ImmunAI
An interview with Guy Yachdav about the work that he and his team are doing at ImmunAI to help researchers and scientists understand the immune system through data and machine learning.
Build Your Python Data Processing Your Way And Run It Anywhere With Fugue
An interview with Kevin Kho about the open source Fugue framework for abstracting away the execution engine for your Python data workflows so you can write it once and run it anywhere.