Systems | Development | Analytics | API | Testing

Welcome to our Yellowfin Customer User Group Event event recap for November 2022! Following our quarterly webinar held November 8 - 9, this blog provides a helpful summary for our customers that could not attend to catch up on new updates from the company, including our future product roadmap and extended support of the Yellowfin embedded analytics suite.

Software developers have a lot on their plate, from writing good code to end-to-end testing. Most of the time, the whole software development process isn’t all smooth sailing. Errors often arise that hinder and slow down the whole production. According to many studies, software project failure rates range between 50% to 80%. While some mistakes can be easily fixed and recovered, others can bring the business to a screeching halt.

We recently had a chance to catch up with Heather Grebe, Senior Data Scientist at Daupler, which offers Daupler RMS, a 311 response management system, used by more than 200 cities and service organizations across North America and internationally. This platform helps utilities, public works, and other service organizations coordinate and document response efforts while reducing workload and collecting insights into response operations.

How do you link BigQuery with Google Sheets? Importing a table from Google BigQuery to Google Sheets is quite easy. In fact, you can connect BigQuery tables directly to the Google Sheets spreadsheet with a couple of clicks using Connected Sheets, the new Google BigQuery data connector (check the full instructions here). But what if you want to move data the other way around? That is, how do you send Google Sheets data to your Google BigQuery data warehouse? Now your life becomes a bit more complicated.

Many API developers and companies struggle to find ways to easily set up systems to monetize their APIs. Some are simple but not customizable, some are complex and require massive engineering effort to actually get it all running. To make things easier, Moesif created a feature called Billing Meters which gives massive customizability but with a minimal amount of code and engineering effort.

There is a famous saying that goes by: Coincidently, this is also true for data in modern times. The information which we see in pretty reports and charts or is displayed to users via an application has actually experienced a long run of data processing and transformations. These transformations are a result of well-planned ETL pipelines and data management strategies. Originating from different touchpoints, data witnesses several alterations throughout its lifecycle, such as.

When Pentaho Enterprise Edition (EE) 9.3 was released in May it represented a significant step in the journey towards a seamless hybrid cloud solution – one that simplified decisions and enabled customers to manage all their data operations for various use case scenarios.

CDP Operational Database (COD) is a real-time auto-scaling operational database powered by Apache HBase and Apache Phoenix. It is one of the main data services that run on Cloudera Data Platform (CDP) Public Cloud. You can access COD from your CDP console.

In our last post, we wrote a basic parser for phone numbers using Elixir. It was a bit simplistic since it didn't really respect the format phone numbers are expected to have, but it was a great start. We'll now improve the parser to ensure we only accept phone numbers that fit the spec and make our return type an instance of structured data. Let's dive straight in!

The Node.js team recently announced the release of version 19. This has the following features: In this article, we will explore the major highlights of this release. We recommend downloading the latest Node.js 19 release to follow along. To verify your version of node: Let's get started!