Systems | Development | Analytics | API | Testing

Optable’s end-to-end data clean room platform for the advertising industry integrates with BigQuery to enable audience activation and insights.

Hey there! We're back for our third edition of Tips and Tricks, our new mini series where we share some helpful insights and cool tech that we've stumbled upon while working on technical stuff. Catch up on the previous posts: All of our posts are super short reads, just a couple of minutes tops. If you don’t like one of the posts, no problem! Just skip it and check out the next one. If you enjoy any of the topics, I encourage you to check out the "further reading" links.

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. More than that, though, harnessing the potential of these technologies requires quality data—without it, the output from an AI implementation can end up inefficient or wholly inaccurate.

Hello, Katalon users and software testing enthusiasts! Today, we’re going to delve into a topic that has been buzzing in our community forum: How to target a robot at a specific window in Katalon Studio. This blog post is aimed at experienced software testing professionals who are familiar with Katalon, or those looking to switch to the Katalon Platform.

Hello, Katalon users and software testing enthusiasts! Today, we’re going to delve into a common issue that has been discussed in our vibrant Katalon Community: the ‘End of File Error’ exception when validating PDFs.

Before shedding light on metadata management, it is crucial to understand what metadata is. Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. It helps you discover, access, use, store, and retrieve your data, having a wide spread of variations. Metadata of an image. Image by Astera. Let’s look at some of the metadata types below.

In today's data-driven world, the ability to seamlessly connect, manage, and manipulate vast amounts of data is paramount for businesses and developers alike. Graph API stands at the forefront of this technological frontier, offering robust tools that facilitate complex data interactions within applications. This powerful API provides a framework for accessing and integrating data points in an intuitive and effective manner, supporting dynamic data structures across various platforms.

Last year, we introduced the Connect with Confluent partner program, enabling our technology partners to develop native integrations with Confluent Cloud. This gives our customers access to Confluent data streams from within their favorite applications and allows them to extract maximum value from their data.

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

In today’s digital landscape, ensuring the optimal performance of your applications is paramount for delivering seamless user experiences. However, identifying potential bottlenecks is not easy. This analysis is one of the single most important activities in performance testing, but it’s often the most difficult one, and a misstep can cause significant setbacks.