Systems | Development | Analytics | API | Testing

We've updated our build scheduler! You can now choose between our flexible scheduler for easy setup or use cron syntax for more precise control over your builds.

Understanding how to manage and protect an API key is crucial for anyone interacting with web services. This article outlines the process of generating and implementing API keys, along with strategies to secure them against potential threats, ensuring the security of your API key.

According to the NIST research, the cost of detecting and fixing software defects exponentially increases over time. Shift left testing highlights the importance of testing early and frequently in the software development lifecycle (SDLC) to ensure that errors are identified and fixed as soon as possible. This method aligns closely with Agile Testing and DevOps Testing philosophies, which emphasize early and continuous integration.

Every enterprise seeks to gain competitive advantage through the embrace of new, innovative technologies to either transform external customer engagement or unlock internal operational efficiencies. Test automation represents a powerful technology innovation by which product teams can unlock significant software development operational efficiencies. But test automation transformation initiatives come with notable risks that should be considered.

Built on the foundation of Apache Spark, Databricks is a unified, open data lakehouse platform that empowers customers to efficiently and cost-effectively process, store, manage, and analyze large volumes of enterprise data.

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.".

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 financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

Data analytics is the science of analyzing raw data to draw conclusions about it. The process involves examining extensive data sets to uncover hidden patterns, correlations, and other insights. With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods.

Learn how a data fabric can add value by maximizing the value of a company’s data infrastructure.