Systems | Development | Analytics | API | Testing

The Cloudera Data Warehouse (CDW) service is a managed data warehouse that runs Cloudera’s powerful engines on a containerized architecture. It is part of the new Cloudera Data Platform, or CDP, which went live on Microsoft Azure earlier this year. The CDW service lets you meet SLAs, onboard new use cases with zero friction, and minimize cost. Today, we are pleased to announce the general availability of CDW on Microsoft Azure.

Organizational leaders worldwide agree that data governance is important. However, data governance programs in most companies are still being planned or in progress. In a 2020 Dataversity report¹, only 12 percent of companies had fully implemented programs, while 38 percent of programs were a work in progress, and 31 percent were just getting started. That’s because companies often run into roadblocks while executing data governance. Below are five common obstacles organizations face.

The life sciences industry is at a turning point.

API testing remained an essential part of test automation and CI/CD process for QA teams to stay committed to short release cycles and frequent changes. API testing eliminates the need for maintaining scripts following the changes in the application under test’s UI. Read more API testing 101 Postman is a tool for API development, testing, and managing APIs for QA professionals. Postman was first developed as a side project for simplifying API workflow and testing projects.

As the business world continues to integrate AI and machine learning to better manage big data processes, one area that arguably has benefitted the most is business monitoring. From IT management to business intelligence, the last few years have seen a drastic shift in how companies are monitoring their data.

When it comes to data, let’s start with the obvious. Averages suck. As developers, we all know that percentiles are much more useful. Metrics like P90, P95, P99 give us a much better indication of how our software is performing. The challenge, historically, is how to track the underlying data and calculate the percentiles. Today I will show you how amazingly easy it is to aggregate and create SQL based percentile rollups with Postgresql and t-digest histograms!

Imagine going to work only to find that your inbox is flooded with customers telling you how happy they are with your software. People are in such a hurry to download your app, you need to scale your servers to meet the demand before the infrastructure crashes. Your phone rings: it’s a tech journalist trying to book an interview with you about your company's growth. This is the dream for every business owner and entrepreneur. But the reality is often in stark contrast to the scenario above.

We are all familiar with this scenario, you work on your training code, fix “all” of the bugs (the ones you know about), wait for a few iterations, see that batch size wasn’t wrong and nothing blows up, and then you happily go home. However, when you come back into the office the next day look at your loss and test accuracy you’re horrified to find that the experiment crashed on the first test cycle because you pointed your test set in the wrong folder 🙁

From publishing great content to generating quality backlinks, here are the strategies effective marketers and SEOs use to improve their website domain authority.

There is a great number of logging plugins for Kong, which might be enough for your needs. However, they have certain limitations: Most of them only work on HTTP/HTTPS traffic. They make sense in an API gateway scenario, with a single Kong cluster proxying traffic between consumers and services. Each log line will generally correspond to a request which is “independent” from the rest.