SBS is Australia’s most diverse broadcaster, offering a multi-platform portfolio of TV, radio, and digital services. The company’s data is also diverse and multi-platform, and SBS understands its data is a key element in contributing to improving viewership, customer satisfaction, and loyalty. But what’s the key to using data more effectively? How do you bring together dozens of data sources into a single, central data platform?

CDP Operational Database (COD) is an autonomous transactional database powered by Apache HBase and Apache Phoenix. It is one of the main Data Services that runs on Cloudera Data Platform (CDP) Public Cloud. You can access COD right from your CDP console. With COD, application developers can now leverage the power of HBase and Phoenix without the overheads that are often related to deployment and management.

You have just clicked the button to run your test, but how soon will the first participant start the test? And when will you be able to explore the results reports? Each test run goes through multiple stages before a results report is generated. In this blog post we are going to explain everything you need to know about test run statuses you can see in Loadero!

This is an article about the complexity of maintaining data consistency in distributed environments. It introduces conflict-free replicated data types (CRDTs) as a way to resolve concurrent data changes.

For members of the military, financial planning is a difficult and ever-changing process. Few businesses understand this better than First Command Financial Services, which focuses on serving the nation’s military families with flexible solutions to home mortgages, car loans, and wealth management.

Dive into these SaaS growth hacks that SaaS experts have used themselves to attract more users and grow their product.

Rahul Parwal is a software engineer, speaker, mentor, and writer out of Jaipur, Rajasthan. He has dabbled in software development, testing, and automation, and often shares his learnings in his blog. In this QnA, Rahul makes the point that a randomly failing test is always worth investigating and that assumptions are dangerous in testing.

Historically, software development and quality assurance were one and the same. If you built it, you also tested it. But then software grew up, and as it got more and more complex, dev and QA needed to split up in order to do their job right. But instead of these two teams remaining close friends, they grew far apart. Each in their own world, operating in different environments, using their own workflows, speaking different languages.

In our previous article, The Future of the Modern Data Stack, we examined the motivations of the modern data stack, its current state, and looked optimistically into the future to see where it is headed. If you’re new to the modern data stack, we highly recommend giving the aforementioned article a read. A question we often get from new adopters of the modern data stack is “What tech should we be looking into?”.

We live in a world that is increasingly digital and data-driven. We have wearable devices to monitor our steps, heart rate, and sleep quality. We have Alexa, Siri, or Google ready to take our shopping orders, play our playlist, share the latest news. We can see what shows are trending on Netflix and curated suggestions for us based on what we watched. We cannot get away from data. Where does data live? Who has access to them? What do they do with them?