Just be honest, when you were 12 years old, did you ever imagine that your life would be this much digitalized by 2024? If you take your memories a decade back, wouldn’t it be difficult for you to think about how technology will be so infused into your lives in the coming years? Well, as you know every industry has been now digitalized directly or indirectly and the Automotive industry is no exception.

When a data breach occurs, your response is critical. What do you do first? Do you have a plan for communicating with business units, regulators and other concerned parties? The integrity and security of data infrastructure stand as paramount concerns for business leaders across all sectors. As technology evolves and threats become more sophisticated, the pursuit of an unbreakable data infrastructure remains an ongoing challenge.

To execute locally, remote, or on-cloud? That is the question. But test execution is more than just “hitting Enter and seeing if it passed or not.” If you are doing it manually, test execution is about performing every single test step as outlined in the test case. For automation testing, test execution takes on another layer of complexity: In which environment should you run the test? Which test cases should you prioritize for execution?

A solid understanding of internal technical and business terms is essential to manage and use data. Business glossaries are pivotal in this aspect, facilitating improved understanding and collaboration among teams. A business glossary breaks down complex terms into easy-to-understand definitions, ensuring that everyone in the organization, from the newest recruit to the CEO, is on the same page regarding business language.

Software testing can feel like you're walking a tightrope—striving to uphold impeccable quality standards while the clock ticks towards your next release. It’s a daunting challenge to make sure every test is planned and executed with speed, all while hoping there are no blind spots in your process. Enter test management. It’s a great way to ensure your tests remain organized, efficient, and consistent. And of course, so you can report on this hard work to leadership.

In the last couple of years, AI has launched itself to the forefront of technology initiatives across industries. In fact, Gartner predicts the AI software market will grow from $124 billion in 2022 to $297 billion in 2027. As a data platform company, Cloudera has two very clear priorities. First, we need to help customers get AI models based on trusted data into production faster than ever.

This guest blog highlights how our strategic partnership with General Catalyst has fueled Fivetran's growth, showcasing our journey towards scaling innovation and efficiency.