If you’re a developer or QA person, you know the importance of running different performance tests to determine how changes in code could affect performance. This highlights the importance of performance testing in the software development lifecycle. Performance testing measures a system’s overall performance under various conditions, load testing measures its performance under expected user loads, and stress testing evaluates its behavior under extreme conditions to identify breaking points.

What is data fabric architecture? The case for data fabric 4 key facts about data fabric architecture Data fabric architecture can modernize and future-proof your data approach Data fabric architecture is a virtual data layer that connects any number of external systems together to provide unified access and a complete, 360-degree view of an organization’s data. Whether your data lives in legacy systems or multi-cloud environments, a data fabric can connect these systems together for a unified view.

Oracle SQL Developer is a powerful tool widely used by data professionals for managing and interacting with Oracle databases. One of the common tasks that data analysts in mid-market companies frequently encounter is the need to export data from Oracle SQL Developer to Excel for further analysis, reporting, or sharing. This blog will provide a detailed, step-by-step guide on how to achieve this, ensuring that every method is covered comprehensively, catering to various user needs and preferences.

In just 12 short months, the Connect with Confluent (CwC) technology partner program has transformed from a new, ambitious initiative to expand the data streaming ecosystem into a thriving portfolio that’s rapidly increasing the breadth and value of real-time data. The program now provides a portfolio of 50+ integrations, each one amplifying the capabilities of Confluent's unified data streaming platform for Apache Kafka and Apache Flink.

I shouldn’t have to convince anyone that Apache Kafka is an incredibly useful and powerful technology. As a distributed event streaming platform, it’s adept at storing your event data and serving it up for downstream consuming applications to make sense of that information––in real time or as close to real time as your use case permits. The real beauty of Kafka as a technology is that it can do it with very little effort on your part. In effect, it’s a black box.

According to recent research, scaling intelligent automation could save the Energy & Utilities industry between $237 billion and $813 billion in operational costs. Despite this immense potential, utility providers still grapple with intense competition, increasingly stringent regulations, and aging infrastructure and workforce challenges. The demand for more affordable and cleaner renewable energy only adds to these pressures.

Today’s fans are global - often based across the world from their favorite team, sports star, or artist; and they are also virtual - for example, 99% of NBA fans across the world will probably never set foot in an arena. These trends are driving a shift in not only fan behaviors, but also expectations. Fans engaging in live events virtually rely on applications to deliver rich realtime experiences with such low latency and reliability that it can almost replace the in-person experience.

Modern software testing now relies heavily on test automation, which helps teams produce reliable, error-free software more quickly and confidently.

A new integration lets you connect your BigQuery data with Anthropic's Claude models on Vertex AI.