Data Engineering Podcast
Latest Episodes
Aligning Data Security With Business Productivity To Deploy Analytics Safely And At Speed
As with all aspects of technology, security is a critical element of data applications, and the different controls can be at cross purposes with productivity. In this episode Yoav Cohen from Satori sh
Use Your Data Warehouse To Power Your Product Analytics With NetSpring
With the rise of the web and digital business came the need to understand how customers are interacting with the products and services that are being sold. Product analytics has grown into its own cat
Exploring The Nuances Of Building An Intentional Data Culture
The ecosystem for data professionals has matured to the point that there are a large and growing number of distinct roles. With the scope and importance of data steadily increasing it is important for
Building A Data Mesh Platform At PayPal
There has been a lot of discussion about the practical application of data mesh and how to implement it in an organization. Jean-Georges Perrin was tasked with designing a new data platform implementa
The View Below The Waterline Of Apache Iceberg And How It Fits In Your Data Lakehouse
Cloud data warehouses have unlocked a massive amount of innovation and investment in data applications, but they are still inherently limiting. Because of their complete ownership of your data they co
Let The Whole Team Participate In Data With The Quilt Versioned Data Hub
Data is a team sport, but it's often difficult for everyone on the team to participate. For a long time the mantra of data tools has been "by developers, for developers", which automatically excludes
Reflecting On The Past 6 Years Of Data Engineering
This podcast started almost exactly six years ago, and the technology landscape was much different than it is now. In that time there have been a number of generational shifts in how data engineering
Let Your Business Intelligence Platform Build The Models Automatically With Omni Analytics
Business intelligence has gone through many generational shifts, but each generation has largely maintained the same workflow. Data analysts create reports that are used by the business to understand
Safely Test Your Applications And Analytics With Production Quality Data Using Tonic AI
The most interesting and challenging bugs always happen in production, but recreating them is a constant challenge due to differences in the data that you are working with. Building your own scripts t
Building Applications With Data As Code On The DataOS
The modern data stack has made it more economical to use enterprise grade technologies to power analytics at organizations of every scale. Unfortunately it has also introduced new overhead to manage t