Data Engineering Podcast

JUNE 26, 2022

Summary The most complicated part of data engineering is the effort involved in making the raw data fit into the narrative of the business. Master Data Management (MDM) is the process of building consensus around what the information actually means in the context of the business and then shaping the data to match those semantics. In this episode Malcolm Hawker shares his years of experience working in this domain to explore the combination of technical and social skills that are necessary to mak

Data Management 100

Data Management Management MongoDB Scala 100

Yelp Engineering

JUNE 26, 2022

Experimentation has become standard practice for companies, and one of the most important aspects is how to evaluate the results to make ship/no-ship decisions. Have you run into experiments where you don’t have enough data for statistically significant results or perhaps the performance of your primary metric seemingly disagrees with that of your secondary metrics?

Data 52

Data 52

Data Engineering Podcast

JUNE 26, 2022

Summary The proliferation of sensors and GPS devices has dramatically increased the number of applications for spatial data, and the need for scalable geospatial analytics. In order to reduce the friction involved in aggregating disparate data sets that share geographic similarities the Unfolded team built a platform that supports working across raster, vector, and tabular data in a single system.

Datasets 130

Datasets Unstructured Data Metadata MongoDB 130