Systems | Development | Analytics | API | Testing

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Nearly two years ago, Cloudera announced the general availability of Apache Iceberg in the Cloudera platform, which helps users avoid vendor lock-in and implement an open lakehouse. With an open data lakehouse powered by Apache Iceberg, businesses can better tap into the power of analytics and AI.

The ArrayIndexOutOfBoundsException is a runtime exception in Java that occurs when an array is accessed with an illegal index. The index is either negative or greater than or equal to the size of the array. Let’s put that in simpler terms with an analogy. Imagine you have a row of five boxes lined up in front of you. Each box has a number on it. If you want to put a toy in one of these boxes, you have to say which box number you're putting it in. For example, "Put this toy in box number 2.".

The generative AI industry is changing fast. New models and technologies (Hello GPT-4o) are emerging regularly, each more advanced than the last. This rapid development cycle means that what was cutting-edge a year ago might now be considered outdated. The rate of change demands a culture of continuous learning and technological adaptation.

XML (eXtensible Markup Language) and JSON (JavaScript Object Notation) are two of the most popular data interchange formats available.

As an Automation Enthusiats exploring in the realm of software testing, I’ve traversed a various tools and frameworks aimed at enhancing test automation processes. Because as the landscape of software testing continues to evolve, the demand for efficient and reliable test automation solutions has never been higher. Among these, Cypress and Keploy emerge as standout solutions, each offering distinctive features and capabilities tailored to different situations of test automation.

What do 82% of global executives say is crucial for AI success? MIT's latest findings highlight the importance of effective data integration.

In Part 1 of “Retail Media’s Business Case for Data Clean Rooms,” we discussed how to (1) assess your data assets and (2) define your data structures and permissions. Once you have a plan on paper, you can begin sizing the data clean room opportunity for your business.

More easily manage AI spend, build AI agents and chatbots, get real-time AI responses, and ensure content safety We're introducing several new Kong AI Gateway capabilities in Kong Gateway 3.7 and Kong Gateway Enterprise 3.7, including enterprise-only and OSS improvements. Read on for a full rundown of the new AI-focused features.

The dual-write problem occurs when two external systems must be updated in an atomic fashion. A classic example is updating an application’s database while pushing an event into a messaging system like Apache Kafka. If the database update succeeds but the write to Kafka fails, the system ends up in an inconsistent state. However, the dual-write problem isn’t unique to event-driven systems or Kafka. It occurs in many situations involving different technologies and architectures.

In our previous articles about exploratory testing, we focused on session-based test management (SBTM), one of the more popular approaches. SBTM aligns clearly with the Xray Exploratory App workflow and terminology. As a quick refresher, SBTM is a more structured technique for performing exploratory testing. The key idea is to organize delimited sessions which are uninterrupted blocks of reviewable, chartered test effort.