Data Engineering Podcast

JANUARY 26, 2020

Summary Data pipelines are complicated and business critical pieces of technical infrastructure. Unfortunately they are also complex and difficult to test, leading to a significant amount of technical debt which contributes to slower iteration cycles. In this episode James Campbell describes how he helped create the Great Expectations framework to help you gain control and confidence in your data delivery workflows, the challenges of validating and monitoring the quality and accuracy of your dat

Data Pipeline 100

Data Pipeline PostgreSQL Media Data Validation 100

Teradata

JANUARY 27, 2020

People want control over their personal data, but are also willing to trade it away for convenience. When does the exploitation of our data become unethical? Read more!

IT 115

IT Data 115

Rockset

JANUARY 28, 2020

Walk into a store, grab the items you want, and walk out without having to interact with a cashier or even use a self-checkout system. That’s the no-hassle shopping experience of the future you’ll get at the Standard Store , a demonstration store showcasing the AI-powered checkout pioneered by Standard Cognition. The company makes use of computer vision to remove the need for checkout lines of any sort in physical retail locations.

Retail 40

Retail Google Cloud Raw Data Data Lake 40

Confluent

JANUARY 28, 2020

The combination of streaming machine learning (ML) and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache […].

Machine Learning 25

Machine Learning Data Lake Data Building 25

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Teradata

JANUARY 31, 2020

Rail transportation analytics optimizes network planning and operations for greater visibility customer demands of rail traffic.

Transportation 52

Transportation 52