Systems | Development | Analytics | API | Testing

Elixir describes itself as "a dynamic, functional programming language designed for building scalable and maintainable applications." Although it's a relative newcomer, Elixir is built on top of the functional programming language Erlang. Elixir is capable of using any Erlang library, and is ideal for use cases such as web development and distributed and low-latency systems. The power, dynamism, and feature-rich toolset of Elixir have made it somewhat of a "cult classic" among programmers.

The Software Development Life Cycle (SDLC) refers to a methodology with clearly defined processes for creating high-quality software. in detail, the SDLC methodology focuses on the following phases of software development: This article will explain how SDLC works, dive deeper in each of the phases, and provide you with examples to get a better understanding of each phase.

Recently, Databricks introduced Delta Lake, a new analytics platform that combines the best elements of data lakes and data warehouses in a paradigm it calls a “lakehouse.” Delta Lake expands the breadth and depth of use cases that Databricks customers can enjoy. Databricks provides a unified analytics platform that provides robust support for use cases ranging from simple reporting to complex data warehousing to real-time machine learning.

With Yellowfin 9, we introduced to the world an incredibly flexible, action-based dashboard builder and progressive data storytelling capabilities that advance the capability of the dashboard experience. We’ve received great feedback since then and this month, the newly-released 9.1 further enhances the user experience of analysts, developers, and business users in Yellowfin’s action-based dashboards, data storytelling, and data discovery products.

The principles behind performance testing API’s does not differ from the principles behind the performance testing of any application. Many API’s however are Asynchronous and a valid response from the API does not necessarily mean the transaction is complete which can cause a problem when measuring the performance of API’s. There are however ways around this and we will explore these in this post.

April 7th, 2020 • By Jon de Andrés Frías In the first part of our series of blog posts on how we remove technical debt using Apache Kafka at Rollbar, we covered some important topics such as: In the second part of the series, we’ll give an overview of how our Kafka consumer works, how we monitor it, and which deployment and release process we followed so we could replace an old system without any downtime.

Data saturation is everywhere. We want to collect more data because we want better information from them. However, the rapid rise in our ability to collect data hasn’t been matched by our ability to get meaningful insights from the data.

Retailers are using big data to report on consumer demand, inventory availability, and supply chain performance in real time. Big data provides a convenient, easy way for retail organizations to quickly ingest petabytes of data and apply machine learning techniques for efficiently moving consumer goods. A top supermarket retailer has recently used Unravel to monitor its vast trove of customer data to stock the right product for the right customer, at the right time.

Your weekly SEO dashboard gives a good indication on whether your strategy is paying off. In this guide, we share the 25 SEO metrics that experts track on a weekly basis.

WSO2 and DreamFactory are both prevalent players in the API management market. It makes little sense to have valuable IT assets on hand if your employees and customers aren’t able to access them when they’re needed most. As such, application programming interfaces (APIs) are an essential part of digital transformation initiatives.