There is a scene in a certain TV show in which a middle-aged man tells a younger one that he missed picking someone up from the train station because his device did not remind him about it. The younger man points out that, since he bought a new device, he must transfer the appointments.

Manufacturing’s digital transformation growth is truly impressive considering it’s delivering value with explosive growth rates. Consider that Manufacturing’s Industry Internet of Things (IIOT) was valued at $161b with an impressive 25% growth rate, or that the Connected Car market will be valued at $225b by 2027 with a 17% growth rate. But then conflicting information arrives as VentureBeat reports that around 90 percent of machine learning models never make it into production?

Snowflake recently launched dynamic data masking, an incredibly useful feature for companies and data-centric organizations that have strict security data governance requirements. This article demonstrates how we implemented data masking at Snowflake by introducing a data masking policy on a VARIANT data type field that holds data in JSON format. We implemented the policy on top of tables and views.

Learn about the technical challenges involved in building an idempotent data pipeline.

Power up your executive dashboard with these 9 insightful KPIs and metrics as recommended by dozens of business owners and executives.

ClickBank needed a reporting solution flexible enough to capture their unique marketing funnel in a useful way and help them stay on top of quarterly goals.

When I joined the k6 team in late November, the foremost question on my mind was "How does this compare to JMeter?" You see, I come from a performance testing consulting background, and in the last few years, JMeter has been far and away my tool of choice. So what am I doing on the k6 site, talking about how much I love JMeter? Well, firstly, it turns out that the k6 team is pretty open and transparent, especially about potential improvements in k6.

Performance testing has become increasingly distributed, as teams do more testing at each stage of the software development life cycle. While the business benefits of performance testing are undeniable, like finding defects earlier when it’s easier and less expensive to fix them — it makes managing all your tests more challenging.

You’ve built an API to solve technical problems, but you know that’s just the beginning. In addition to helping developers use it, you need to understand how they use it. You want to measure its performance and popularity, and make adjustments based on what you discover.

What are the most important database performance metrics, and how do you monitor them? This is a question many IT professionals would like the answer to. We can collect and use a wide range of database metrics to analyze database and server resource consumption, not to mention overall usage. You are probably wondering why this is essential for business, so let’s explore this next.