Systems | Development | Analytics | API | Testing

The final iteration of our series on ASCII files; how to combine dbt and Fivetran to integrate ASCII files.

There are many components to a successful web testing strategy, but one of the most often overlooked is the importance of visual UI testing in addition to functional testing. Most teams will focus on one over the other, but to truly catch as many bugs as possible, you’ll need to incorporate both. First, you need to understand what the difference is and why they’re both needed.

As generative AI continues to captivate attention with its transformative potential, there is a danger that traditional AI and ML become overshadowed. But as I mentioned in my last blog, this would be a mistake as traditional AI methods still hold immense value and relevance, and likely more so than generative AI in the near term.

In today's "Big Data" world, data integration is a critical business process. With the exponential growth of information seen in enterprises all over the globe and increasingly competitive marketplaces, there is a real need to consolidate and analyze business data. Big Data is made up of large amounts of information from many sources: customer interactions, Internet of Things (IoT) devices, mobile apps, SaaS cloud services, and more.

Apache Impala and Apache Kudu make a great combination for real-time analytics on streaming data for time series and real-time data warehousing use cases. More than 200 Cloudera customers have implemented Apache Kudu with Apache Spark for ingestion and Apache Impala for real-time BI use cases successfully over the last decade, with thousands of nodes running Apache Kudu.

Microsoft Power BI is a ubiquitous and cheap to start with business intelligence (BI) tool that can create a good foundation for analytics capabilities at any company. Similar to Tableau, the objective is to create broad adoption within an organization and replace Excel with a more powerful and structured tool.

Application Programming Interfaces (APIs) are everywhere, and with good reason. These bits of software join apps and microservices together despite different programming languages, operating systems, and data formats. An API can integrate services that otherwise can’t communicate with each other. They lay the groundwork for the most successful digital transformation strategies and composable enterprises.

Because retesting and regression testing have many similarities, it’s easy to get them mixed up. Both are software testing methods used to maintain the usability of a website or web app, and both involve testing your software repeatedly. Thankfully, there are some key differences between the two that are easy to remember when learning how to distinguish one from the other. Read on for a simple breakdown of retesting vs regression testing, so you never end up confusing them again.

The exponential growth of the Internet and cloud computing has given rise to applications that are smaller, more distributed, and designed for highly dynamic environments capable of rapidly scaling up or down as needed. These applications have pushed the demand for modern API management product architectures that can leverage cloud native capabilities to achieve scalability, resilience, agility, and cost efficiency.