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.
Support the show!Listen in your favorite app:
Fountain TrueFans Podverse Podcast Guru Apple Podcasts Spotify Pick your app with Episodes.fmHere are shows you might like
Summary Encryption and security are critical elements in data analytics and machine learning applications. We have well developed protocols and practices around data that is at rest and in motion, but security around data in use is still severely lacking. Recognizing this shortcoming and the capabilities that could be unlocked by a robust solution…
Summary Encryption and security are critical elements in data analytics and machine learning…
26 December 2022 | 01:08:25
Summary One of the reasons that data work is so challenging is because no single person or team owns the entire process. This introduces friction in the process of collecting, processing, and using data. In order to reduce the potential for broken pipelines some teams have started to adopt the idea of data contracts. In this episode Abe Gong brings…
Summary One of the reasons that data work is so challenging is because no single person or team owns…
19 December 2022 | 00:47:01
Summary The data ecosystem has seen a constant flurry of activity for the past several years, and it shows no signs of slowing down. With all of the products, techniques, and buzzwords being discussed it can be easy to be overcome by the hype. In this episode Juan Sequeda and Tim Gasper from data.world share their views on the core principles that…
Summary The data ecosystem has seen a constant flurry of activity for the past several years, and it…
19 December 2022 | 01:05:29
12 December 2022 | 00:53:46
One of the most critical aspects of software projects is managing its data. Managing the operational concerns for your database can be complex and expensive, especially if you need to scale to large volumes of data, high traffic, or geographically distributed usage. Planetscale is a…
One of the most critical aspects of…
12 December 2022 | 00:49:41
Business intelligence is the foremost application of data in organizations of all sizes. The typical conception of how it is accessed is through a web or desktop application running on a powerful laptop. Zing Data is building a mobile native platform for business intelligence. This opens…
Business intelligence is the foremost…
05 December 2022 | 00:46:47
The term "real-time data" brings with it a combination of excitement, uncertainty, and skepticism. The promise of insights that are always accurate and up to date is appealing to organizations, but the technical realities to make it possible have been complex and expensive. In…
The term "real-time data"…
05 December 2022 | 00:50:25
The data ecosystem has been growing rapidly, with new communities joining and bringing their preferred programming languages to the mix. This has led to inefficiencies in how data is stored, accessed, and shared across process and system boundaries. The Arrow project is designed to…
The data ecosystem has been growing…
28 November 2022 | 00:50:25
The most expensive part of working with massive data sets is the work of retrieving and processing the files that contain the raw information. FeatureBase (formerly Pilosa) avoids that overhead by converting the data into bitmaps. In this episode Matt Jaffee explains how to model your data…
The most expensive part of working with…
28 November 2022 | 00:59:25
The majority of blog posts and presentations about data engineering and analytics assume that the consumers of those efforts are internal business users accessing an environment controlled by the business. In this episode Ian Schweer shares his experiences at Riot Games supporting…
The majority of blog posts and…
21 November 2022 | 01:01:29