It’s no longer enough for your data to be big. Today, data needs to be deep, too. Here’s why deep data is so essential for enterprise data analytics, and tips for making your data deep....

Preparing to recover big data workloads after an unexpected disaster requires more than just having data backups on hand. This article explains how to build an effective big data disaster recovery...

You want to make the most of your big data. However, data quality is paramount to achieving that goal. Implementing an effective data quality management program ensures that your data is of the...

If you analyze data as soon as it is created – in other words, if you perform real-time analytics – you get much more value out of it than if you wait until the data is a bit older. Sure, data...

As we kick off 2020, lets wrap up some of our content from 2019. Here’s some blog posts on looking forward to 2020 to get you going in the new year! How to modernize your traditional database...

You’ve probably heard of DevOps, but you may not be familiar with DataOps, a related concept that has received much less attention so far. Here’s a primer on what DataOps means and how it...

What is big data, really? Despite what the term implies, the definition is not actually about the size of your data. It’s how you use the data.  What is the big data definition? When it comes to...

If you work with Big Data, you might not think DevOps has much to do with you – and vice versa. But you’d be wrong. Here’s why Big Data and DevOps make sense together. What is DevOps?...

As a product marketer, I’m always on the lookout for the latest trends, indicators and adoption rates that will help us better target and position our solutions to meet the needs of customers. And...