Systems | Development | Analytics | API | Testing

How to build a flexible pipeline to output Cloud SQL for SQL Server audit records to internal or external sinks with minimal coding in Cloud Data Fusion.

Software testing can feel like you're walking a tightrope—striving to uphold impeccable quality standards while the clock ticks towards your next release. It’s a daunting challenge to make sure every test is planned and executed with speed, all while hoping there are no blind spots in your process. Enter test management. It’s a great way to ensure your tests remain organized, efficient, and consistent. And of course, so you can report on this hard work to leadership.

In this age of data dominance, data democratization becomes a lifeline for any organization trying to harness the most out of its information-based assets. Data democratization ensures access to data for all employees across varying organizational departments without technological barriers, which enables data-based business decisions to be made. Empowering the team members with the approach will open doors for improved collaboration and innovation.

In this post we are going to look at performance test coverage. What functionality to performance test can range from very little to most of the application under test and both are valid under the right circumstances.

Download a sample report that includes insights into the health of a Snowflake data estate.

Mobile app development demands efficiency, reliability, and speed. Flutter and React Native are popular frameworks that allow you to create apps quickly and efficiently. This post will compares the strengths and weaknesses of each development framework to help you choose the best option for your next project.

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems.

As generative AI grows in popularity and enterprises scramble to embrace new technology in a scalable, compliant way, it can be difficult to know the right path forward. Your enterprise has already invested in automating processes to free up resources and improve organizational efficiency, but is it enough? This is where intelligent process automation comes into play.

This guest blog highlights how our strategic partnership with General Catalyst has fueled Fivetran's growth, showcasing our journey towards scaling innovation and efficiency.

You open your Uber app and book a ride. Upon successful booking, a map pops up and shows you the whereabouts of your driver. While in the Uber, you open Zillow, a real estate app, to check out the apartment you want to rent that is located a few kilometers away from your location. The weather app, knowing your location, then sends you a notification to expect rain tomorrow. All of these are examples of the power of geolocation-based app features.