Systems | Development | Analytics | API | Testing

%term

What Is Metadata Why Is It Important?

Metadata refers to the information about data that gives it more context and relevance. It records essential aspects of the data (e.g., date, size, ownership, data type, or other data sources) to help users discover, identify, understand, organize, retrieve, and use it—transforming information into business-critical assets. Think of it as labels on a box that describe what’s inside. Metadata makes it easier to find and utilize the data that you need. Typical metadata elements include.

Understanding Offset and Cursor-Based Pagination in Node.js

Pagination means dividing a big chunk of data into smaller pages. It unlocks performance benefits for the backend, while also improving UX by sending manageable pieces of data to a client. In this article, we'll explore offset-based and cursor-based server-side pagination approaches, compare them, and implement cursor-based pagination in Node.js. Let's get started!

Evelyn's Final Episode: Advice and Encouragement for a Career in Automated Testing

Today’s show is bittersweet as we bid farewell to our beloved co-host, Evelyn Coleman. She’s been instrumental in shaping our conversations and challenging our perspectives. We’ll reflect on Evelyn’s impact on the podcast, share lessons from her career, and discuss the ways automated testing is about so much more than just code. Press play for an episode of insights, farewells, and of course, a little humor.

5 Ways Advertising, Media and Entertainment Companies are Using Gen AI

The emergence of generative AI (gen AI) heralds a new, groundbreaking era for advertising, media and entertainment. According to a recent Snowflake report, Advertising, Media and Entertainment Data + AI Predictions 2024, gen AI is going to transform the industry — from content creation to customer experience. The companies that will come out ahead during this time are those that most successfully and quickly supercharge their data strategy.

Exploring Data Provenance: Ensuring Data Integrity and Authenticity

Data provenance is a method of creating a documented trail that accounts for data’s origin, creation, movement, and dissemination. It involves storing the ownership and process history of data objects to answer questions like, “When was data created?”, “Who created the data?” and “Why was it created? Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability.

Introducing Keploy | Your Automated API Testing Platform: AI-Driven Edge Cases, No Hallucinations

Looking for an automated test solution that offers unparalleled accuracy? Meet Keploy, your AI-driven API test engineer. Here's a description for "Introducing Keploy | Your Automated API Test Engineer: AI-Driven Edge Cases & No Hallucinations ".

Analyzing AWS Audit Logs in Real Time Using Confluent Cloud and Amazon EventBridge

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.

Xray continues to excel in Customer Service with the new Stevie Awards in 2024

With the Silver and Bronze Stevie Awards, Xray reaffirms its commitment to outstanding customer support and service excellence. Xray, a leader in software testing solutions, is proud to announce its recent awards in the 2024 Stevie Awards. It secured a Silver Stevie for Front-Line Customer Service Team of the Year and a Bronze Stevie in the Customer Service Department of the Year category for Computer Software companies with up to 100 employees.