Systems | Development | Analytics | API | Testing

Optimize Your AWS Data Lake with Data Enrichment and Smart Pipelines

As an engaged member of the AWS community, we’re always on the lookout for new technologies and software tools that can help our customers succeed in their AWS data lake initiatives. During the most recent AWS Re:Invent conference in Las Vegas, we had the opportunity to engage directly with AWS partners, customers, and other technology companies operating in the AWS ecosystem.

Previewing the power of BigQuery Remote Functions for drive time optimization

BigQuery's Remote Functions (in preview) make it possible to apply custom cloud functions to your warehouse without moving data or managing compute. This flexibility unlocks many use cases including data enrichment. In this post we demonstrate a pattern for combining BigQuery with the Google Maps API to add drive times to datasets containing origin and destination locations. This enrichment pattern is easily adapted for address geocoding or adding Google Map's place descriptions to locations.

5 Key Tips for Beginners Learning JavaScript

If you have ever been interested in Web Development then chances are you have heard of JavaScript. JavaScript is an object-oriented programming language. It is used by developers to make the client-side (front end) of web pages dynamic and interactive. It is also used alongside HTML and CSS to make websites and web applications. The market for application development in 2022 is huge.

How We Improved Table Performance in AppSignal - Back-end Changes

In our last development cycle, we spent time improving our table performance in AppSignal. As customers stay around for longer, data starts piling up. A view with just 10 items in the beginning gathers hundreds of items, and keeps growing. Besides filtering data in the front-end to reduce the returned data, we wanted to ensure our data could keep growing without timeouts in our GraphQL API or slow-loading pages in our app.

Extending BigQuery Functions beyond SQL with Remote Functions, now in preview

Today we are announcing the Preview of BigQuery Remote Functions. Remote Functions are user-defined functions (UDF) that let you extend BigQuery SQL with your own custom code, written and hosted in Cloud Functions, Google Cloud’s scalable pay-as-you-go functions as a service. A remote UDF accepts columns from BigQuery as input, performs actions on that input using a Cloud Function, and returns the result of those actions as a value in the query result.