As unpleasant as they are, errors are crucial to software development. When developing an application, we usually don't have full control over the parties interacting with a program and its hosts (including operating system versions, processors, and network speed). It's important you have an error reporting system to diagnose errors and make errors human-readable. In this post, we'll first look at the two common types of errors.

A full guide on the most important metrics you should benchmark to understand how your website’s performance measures up with the competition.

An application can broadly be divided into two categories: frontend and backend. Before releasing a product in the market, it’s essential to test whether both the frontend and backend of the application are working correctly. Frontend testing is the testing of the user interface visible to the user by which users interact with the application. In contrast, backend testing is about testing the actual database and server logic under the hood, which is not visible to the application users.

Before we discuss the difference between manual and automation testing, let’s understand why we need Software testing. Surprisingly in many cases, the importance given to software development won’t be given to testing. If we look into SDLC, testing has greater integrity. Taking it casually and testing in non-real environments will directly impact the entire project and lead to testing failures without a doubt.

Here are some important suggestions on how to improve your search engine optimization (SEO) and advance your website and every page in the ranks of search engine result pages (SERPs) to the top of the page results.

Command and control your data with our new ultimate guide.

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.