For decades, ETL (extract, transform, load) has been a mainstay of organizations’ data integration workflows, moving information from various sources to a centralized data warehouse. More recently, however, businesses have been shaking things up with reverse ETL, which flips the sources and targets by sending data from your warehouse to third-party systems like Zendesk.

Organizations at the forefront of their field leverage speed and agility to maintain their competitive edge. The key factor driving this agility is collaboration, which can only be achieved by providing every department with access to the data they need to perform their jobs more efficiently. According to Gartner, digital optimization blurs the classic ownership and activity boundaries within and beyond IT.

Success for any business starts with data that is easily discoverable, understandable, and of value to the people who need it. We call this type of data “healthy data.” You should look at a wide set of measures and metrics to determine whether data is healthy or not, but at the core of all healthy data is a high level of quality.

Forbes Insights defines the modernized data center as being built to change just as much as it is built to last. One of the key pillars for a modernized data center is an agile data infrastructure. The Forbes Insights briefing explains, “This means it’s not wedded to any specific deployment method or solution set.

Providing your analytics users the ability to get answers from their data is useful, but only if the solution can guide them to ask the right questions.

The goal of automating UI testing is to speed up the software release process and help developers catch front-end bugs sooner and fix them faster.‍ The potential benefits of automated UI testing for web applications are huge: Most software companies do UI testing by asking developers or QA engineers to write test scripts to test the front-end of the application within a web browser. The most popular automation frameworks are Selenium and Cypress.

As humans, we can keep a tab on 7 different things at the peak of our day. But when it comes to carrying out different sets of productive work, each of which needs our full attention, organizing becomes imperative. Speaking of organizing in work-related terms, although advancements in technology have offered us an array of automated tools to help out with task management, several professionals still prefer doing things the traditional way – manually.

Despite tremendous benefits, 47% of the Kubernetes community reports a steep learning curve as a barrier to adoption according to a recent survey of 1000 Developers by Civo.com. So when our team started out on Kubernetes, we went out looking for online resources to learn from and we have been following Viktor Farcic for well over a year now. Viktor is the author of the DevOps Paradox podcast and has a weekly video series called the DevOps Toolkit by Viktor Farcic on YouTube.

In my previous blog post, CodeZero 201, I shared with you Part 2 of a four-part series directed at introducing you to the CodeZero platform and some of its useful tools and features for Kubernetes developers. Part 2 discussed two incredibly handy features for working with Kubernetes called Teleport and Intercept.

For background on Cosmo, Chief Destiny Officer, and his alternative methods, read the earlier posts in this series about The role of a CDO and Customer Segmentation. Predicting the future always sounds a little magical, but we were intrigued to meet a CDO who says he actually makes business forecasts using magic instead of modeling. While at Talend we work exclusively with healthy data, we’ve always wondered what goes on at organizations that don’t rely on data for business decisions.