Speedscale and Coder are two distinct tools that, while both aim to increase developer productivity, serve fundamentally different purposes. Both provide software development environments for enhancing productivity and collaboration in software development teams.

Businesses today rely heavily on data to inform decisions, predict trends, and optimize operations. However, more data volume and complexity has led to growing pressure to find scalable, cost-effective solutions for data storage while staying within IT budgets. Companies want to handle both structured and unstructured data efficiently, while supporting advanced data analysis and machine learning use cases.

Have you ever wanted to make sure your assumptions about your code are correct? That’s where assertions come in. In programming, an assertion is a simple way to verify that certain conditions hold true in your code, helping you catch potential errors early before they snowball into bigger problems. Imagine building a house—you wouldn’t start putting up walls without first making sure the foundation is solid, right? Assertions work the same way in your code.

With generative AI, you have the opportunity to deliver a data strategy that helps business people answer their most pressing data questions—providing unprecedented value to your internal teams, partners, and customers. Hype around GenAI has overwhelmed people with too many use cases and too little focus on achievable value. That’s why we sponsored a first-of-its-kind survey with MIT SMR Connections, asking 1k global data and business leaders questions.

Imagine a world where your sensitive data moves effortlessly between clouds – secure, private, and far from the prying eyes of the public internet. Today, we’re making that world a reality with the launch of Cloudera Private Link Network. Organizations are continuously seeking ways to enhance their data security. One of the challenges is ensuring that data remains protected as it traverses different cloud environments.

In the current software market, products are being introduced in the market at a very fast rate, with new versions being brought out almost every month, if not weekly. This is a good thing as it keeps the products evolving, but at the same time, it is not without its problems, and the most evident of these is the existence of problems and bugs.

Data lakes offer a unified data platform that can support analytics of all kinds.

Insurance companies have long relied on data to assess risk, underwrite policies, and handle claims. However, as the volume of data grows, so does the need for sophisticated tools to turn that information into actionable insights. Simply having access to data is no longer enough. To succeed, insurers must be able to harness the power of their data—transforming it into a strategic asset that drives both operational efficiency and improved customer outcomes.