Most enterprises that have embarked on their digital business journey have quickly realized that data is the foundation of every digital business. No successful digital business has succeeded without a data strategy. So, when I joined Joe DosSantos, Chief Data Officer at Qlik, on the Data Brilliant podcast, we discussed how data has been democratized, why certain organizations have succeeded with digital transformation, and what factors are required to build the culture for success.
Jira is one of the most popular task management products available today, and for good reason: it's been around for a long time. The team at Atlassian is constantly working to improve the way users can utilize their software, but for a long time if you wanted to integrate with Jira as a developer, your options were generally limited to the Jira API.
The concept that data is critical to an organization's growth is nothing new. As digital transformation takes every industry by storm, however, the types and sources of data have rapidly evolved. Relying simply on proprietary data is blinding at best. Over the last few years, innovative companies have raced to tap into new sources — often those they don’t own.
Node.js error handling isn’t a walk in the park. When deploying applications into production, we want to know that all code has been tested for all possible complex scenarios. We can, however, avoid issues by preparing our code to properly handle errors. To do so, we need to understand: Today we’re going to take you through the above items and give you a tour of JavaScript’s main quirks for better insight and understanding.
This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Before diving into the technologies it is worth becoming familiar with the key security principle of a layered approach that facilitates defense in depth.
The Snowflake Data Cloud is a powerful place to work with data because we have made it easy to do difficult things with data, such as breaking down data silos, safely sharing complex data sets, and querying massive amounts of data. As customers move to the Data Cloud, their needs and timelines vary—our goal is to meet every customer where they are on their Data Cloud journey.
Automated visual regression testing tools check for style issues and problems with the visual layer of an app or website. The benefit of these tools is that they can catch issues on the visual layer (the user interface of the website or app, which customers see) that may get missed by test scripts that only interact with the underlying code (the DOM).
