Systems | Development | Analytics | API | Testing

%term

Ethereum in BigQuery: a Public Dataset for smart contract analytics

Ethereum and other cryptocurrencies have captured the imagination of technologists, financiers, and economists. Digital currencies are only one application of the underlying blockchain technology. Earlier this year, we made the Bitcoin dataset publicly available for analysis in Google BigQuery. Today we’re making the Ethereum dataset available.

Using BigQuery ML and BigQuery GIS together to predict NYC taxi trip cost

In this article, I’ll walk you through the process of building a machine learning model using BigQuery ML. As a bonus, we’ll have the chance to use BigQuery’s support for spatial functions. We’ll use the New York City taxicab dataset, with the goal of predicting taxi fare, given both pick-up and drop-off locations for each ride — imagine that we are designing a trip planner.

Accelerating Your Delivery Pipeline with SmartBear and Jenkins

With limited time to manually test during a continuous delivery pipeline, automated testing coupled with CI/CD infrastructure like Jenkins is the preferred method of ensuring quality at speed. With SmartBear and Jenkins, software teams can bake their UI and API tests right into their pipeline, and deliver continuous quality.