Systems | Development | Analytics | API | Testing

%term

From 3 Weeks to 3 Hours: How Signagelive Sped up Regression Testing by Switching to Automation

In early 2016, Signagelive—a digital signage company—had an informal approach to QA. When developers had time, they performed a few manual tests ahead of each software release and hoped for the best. This allowed the company to focus on growth and building new features, but the company reached a point where the number of bugs clients found was unacceptable.

A Getting Started Guide to Setting Up Jenkins

The goal of this getting started guide is to help teams get Jenkins continuous integration (CI) servers configured, and discover how to make a newly deployed CI infrastructure fully operational. Jenkins is a leading open source CI server. It is flexible, providing hundreds of plugins to support building, testing, and deployment, and is capable of automating any project. Jenkins CI infrastructure can be deployed to on-prem, in the cloud using configuration management tools, and third-party vendor.

Introducing Qlik Cloud Government - Analytics for U.S. Federal Sector

Qlik would like to announce our SaaS solution for the U.S. Federal and Public Sector with Qlik Cloud Government. A new platform entirely designed specifically to meet the varied needs of our customers including the U.S. Public sector, offering a modern analytics platform built for speed, security, and scale.

Snowflake's Data Cloud for Advertising in a Cookieless World | Snowflake Summit 2021

Effective marketing and advertising is essential to driving growth, but the landscape is rapidly changing, with escalating regulatory requirements and the deprecation of third-party cookies. To succeed, businesses need to develop new, secure methods for accessing and sharing audience and engagement data. In this session with Disney, NBCUniversal (NBCU), Capgemini, and Snowflake, learn how the unique and innovative capabilities of the Data Cloud are enabling seamless data sharing without data copies or movement. Specifically, learn.

Troubleshooting Databricks

The popularity of Databricks is rocketing skyward, and it is now the leading multi-cloud platform for Spark and analytics workloads, offering fully managed Spark clusters in the cloud. Databricks is fast and organizations generally refactor their applications when moving them to Databricks. The result is strong performance. However, as usage of Databricks grows, so does the importance of reliability for Databricks jobs - especially big data jobs such as Spark workloads. But information you need for troubleshooting is scattered across multiple, voluminous log files.