The success of data warehouse solutions depends on how well organizations implement test cases to guarantee data integrity. As organizations evolve, data warehouse testing becomes crucial to adhere to industry best practices.

We've just rolled out new trigger controls and enhanced YAML syntax so you can initiate your builds with unmatched precision.

Enterprise Resource Planning (ERP) systems are designed to streamline business operations by centralizing data across an organization. However, extracting and utilizing this data can be a complex and time-consuming process. One solution to this problem is the use of APIs (Application Programming Interfaces), which allow you to get data out of ERP systems and other software applications.

At some point, anyone who has enjoyed using a computer has wondered if they could build their own app. But software development becomes intimidating fast if you’re not a programmer. Fortunately, there is a wide range of no-code platforms available today. Even in the enterprise, there’s demand for no-code development. As APIs have become one of the most important components of the modern application ecosystem, several no-code API solutions are now available.

In the age of digital transformation, enterprise continuous testing has become critical for agile and efficient software development. But enterprises often spend too much time managing a multitude of solutions and integrations with zero cohesion between solutions and an inability to gain clear insights. It takes so much time to manage the areas around testing that there is little time for the most important part — the testing itself.

Watch how to use a multimodal LLM such as Gemini to analyze data in a BigQuery data lake and automatically generate schema layouts.

Hey there! We're back for our third edition of Tips and Tricks. As we said in our first posts on Drizzle ORM and Template Databases in PostgreSQL, our new Tips and Tricks mini blog series is going to share some helpful insights and cool tech that we've stumbled upon while working on technical stuff. Today's topic is short and sweet. It'll be on CPU utilization and what that metric indicates. If you enjoy it and want to learn more, I encourage you to check out the "further reading" links.

AI injects “intelligence” into automation, enabling systems to execute tasks, comprehend complex data, make informed decisions, and learn from outcomes. Unlike technologies such as robotic process automation (RPA), which follow predetermined rules, AI leverages data to evaluate situations and determine the best course of action. Now that we've explored how AI augments traditional automation tools, let's delve deeper into the realm of intelligent automation.

Intelligent automation removes barriers to scaling automation that have hindered business productivity for years. This powerful fusion of technologies automates complex processes, empowering organizations to adapt to change faster and more effectively than ever before.

The adoption of eBPF (Extended Berkeley Packet Filter) has revolutionized high-performance applications, tracing, security, and packet filtering within the Linux kernel. Specifically, TC-BPF, a type of eBPF program attached to the Traffic Control (TC) layer, has emerged as a powerful tool for packet manipulation in both ingress and egress. This blog delves into the practical application of TC-BPF to redirect DNS queries in a Docker environment.