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: 15 days 22 hours 58 minutes
Connecting To The Next Frontier Of Computing With Quantum Networks
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.
What Does It Really Mean To Do MLOps And What Is The Data Engineer's Role?
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.
DataOps As A Service For Your Data Integration Workflows With Rivery
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.
Synthetic Data As A Service For Simplifying Privacy Engineering With Gretel
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.
Accelerate Development Of Enterprise Analytics With The Coalesce Visual Workflow Builder
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.
Repeatable Patterns For Designing Data Platforms And When To Customize Them
An interview with Brandon Beidel about his experiences at Red Ventures designing and supporting analytical data platforms for his customers and how he and his team have established a set of useful patterns to make it scalable.
Eliminate The Bottlenecks In Your Key/Value Storage With SpeeDB
An interview with Adi Gelvan about how he and his team re-engineered the RocksDB key/value storage engine for accelerated performance on high volume and high throughput workloads.
Building A Data Governance Bridge Between Cloud And Datacenters For The Enterprise At Privacera
An interview with Balaji Ganesan about how Privacera levels up the open source Apache Ranger project to bridge data governance from on premise datacenters to the cloud without compromise.
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.