Systems | Development | Analytics | API | Testing

Organizations worldwide put their best foot forward to create a centralized database where information is gathered, stored, and managed. Their data engineers transform difficult-to-decipher datasets into data pipelines that can be used by data scientists, analysts, and consumers. However, the new data mesh concept championed by Zhamak Dehghani, the director of technology for IT consultancy firm ThoughtWorks, allows domain teams to conduct cross-domain data analysis independently.

WSO2 recently announced the release of their Private CIAM Cloud service, and it made me think about the changing role of personal identity versus business entity in today’s complex distributed software environments. The CIAM space has evolved far beyond the traditional end user’s need for identity and access to applications in a B2C (business to customer) scenario.

In many organizations, transfer pricing adjustments are like a lot of other last-minute activities. They seem to be ignored throughout most of the annual cycle. Then, they suddenly take on a great importance at year-end. That leaves the tax team scrambling to address an entire year’s worth of transactions. It also leads to interdepartmental friction in many cases. If transfer pricing is changed retroactively for the entire year, that can have far-reaching implications.

Data plays a vital role in the growth of an organization. Companies spend large amounts of money on building data and big data infrastructures such as data vaults, data marts, data lakes, and data warehouses. These infrastructures are populated via multiple data sources using robust ETL pipelines that function throughout the day. A data infrastructure must operate 24/7 to provide real-time analysis and data-driven business insights.

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. I recommend you read the entire piece, but to me the key takeaway – AI at scale isn’t magic, it’s data – is reminiscent of the 1992 presidential election, when political consultant James Carville succinctly summarized the key to winning – “it’s the economy”.

Phoenix LiveView 0.18 just shipped, with lots of new goodies to make developing LiveView an even better experience. In this post, I'll take you through a lesser-known new feature - LiveView's new special HTML attributes - and show you how to write cleaner HTML with :if, :for, and :let. When we're done, you'll have an eloquent, ergonomic, and dynamic function component you can use to render a list anywhere in your LiveView app. Let's dive in!

In any application, testing is crucial, as it verifies that everything is working as expected and that what we are going to deliver to the end user is what was described in the project plan. Typically, it allows developers to inspect whether their app meets functional, performance, and UI specifications. Web applications can be tested using a variety of methods and types. These testing methods have already been combined into reusable libraries by many open-source developers.

Self service analytics (also called self-service business intelligence, or self-service BI) is a term commonly used among analytics vendors and organizations adopting BI, often in the context of being the next big thing in driving more people to use data to find insights. But what is self service analytics? How does self service analytics work? And why does self service analytics matter?

With the Apache Spark 3.1 release in early 2021, the Spark on Kubernetes project has been production-ready for a few years. Spark on Kubernetes has become the new standard for deploying Spark. In the Iguazio MLOps platform, we built the Spark Operator into the platform to make the deployment of Spark Operator much simpler.