One of the most interesting developments coming out of the current COVID-19 crisis is that people are looking at and interpreting data like never before. People that have never expressed an interest in data are now thinking about data and trying to understand what it means for them. There is a lot that businesses can learn from this. With COVID-19, people are taking the time to look at highly complex data, distill it, and assess what it means for their own behavior and lives.

Even in a global economy, businesses need a deep understanding of local markets. For example, marketing campaigns designed to attract buyers in a large metropolitan area won’t necessarily attract small-town customers. Noticing that buying patterns in one area are extending into a larger regional or nationwide trend can lead to decisions that increase profits. But accessing and analyzing a broad spectrum of geospatial data has been difficult and expensive. That is changing.

In today’s online world, every digital experience is a reflection of your brand—which is why mobile application testing should be at the forefront of your testing strategy. Whether it’s a picture of a check, a selfie, or a QR code, images can be uploaded to mobile apps for many reasons. Behind the scenes, the application has to do some amount of processing and storage.

Qlik is excited to announce the June 2020 product release, furthering our leadership in augmented intelligence, best-in-class visualization and platform extensibility.

When I started my journey into Kubernetes, you were always there for me when I needed to expose a service externally. We started small with just exposing one service, and you were dependable and easy to set up. But things have changed. My application has grown, and now the cluster has 10 services that need to be exposed externally. This has made communication difficult. I wonder what will happen when we have 50 services?

Today, we’ll dive into N+1 queries⁠—what they are, how to spot them, why they have such an impact, and how to solve them.

We’re announcing a key capability to help organizations govern their data in Google Cloud. Our new BigQuery table-level access controls (table ACLs) are an important step that enables you to control your data and share it at an even finer granularity. Table ACLs also bring closer compatibility with other data warehouse systems where the base security primitives include tables—allowing migration of security policies more easily.

Banking and financial services organizations are all about customer relationships. By connecting with customers and assisting alongside their financial journeys, these organizations become trusted partners. Building trust and confidence increases the share of wallet and lifetime value. To achieve that on a global scale, you need to leverage big data and predictive analytics. As customers navigate their personal finances, they are looking for a bank they can trust.

Digital confidence, the feeling that everyone in your organization expects your application to work exactly as it was designed, is a journey that requires a number of strategic and tactical considerations. From cultural buy-in from the top to tooling and resources that help support continuous testing at scale, there are a number of things that can help build confidence that your applications are providing flawless user experiences.