Systems | Development | Analytics | API | Testing

ETL testing is a set of procedures used to evaluate and validate the data integration process in a data warehouse environment. In other words, it’s a way to verify that the data from your source systems is extracted, transformed, and loaded into the target storage as required by your business rules. ETL (Extract, Transform, Load) is how data integration tools and BI platforms primarily turn data into actionable insights.

The U.S. Bureau of Labor Statistics reports that the incidence rate of nonfatal workplace accidents has decreased over the years, which can be attributed to the implementation of preventive measures in private industry. Despite this positive trend, companies deal with large volumes of unstructured data that demand effective management. Addressing these complexities is easier with Astera’s unstructured data extraction solution.

Kong’s Wanny Morellato and Deepak Mohandas recently joined Justin and Autumn on the ShipIt podcast to talk hybrid infrastructure with Kong Gateway and Kong Mesh. They unravel the complexities of hybrid infrastructure at scale, discussing the processes, strategies, and philosophies that drive continuous delivery, infrastructure as code, and more.

Over the past year, interest in artificial intelligence has surged due to the proliferation of generative AI and large language models. These tools captured imaginations, demonstrating a technology brimming with possibility. While many focused on the potential of these tools, some companies made AI practical. For example, last year, Appian released packaged AI tools for processing content at scale and quickly building interface forms.

Aligning HR practices with business objectives improves operational efficiency and enhances employee engagement. HR casework usually spans multiple disconnected departments and systems—exactly the kind of process end-to-end case management can help you connect. Some common use cases for HR case management include: Staying compliant with complex and evolving regulatory environments requires speed, flexibility, and a unified view of data and workflows that can be easily audited.

APIs have become fundamental to the digital economy, enabling integration and communication between different systems and services. A mature API platform is not just a technical achievement but a strategic asset that can drive innovation, efficiency, and growth. However, reaching this level of maturity requires a clear understanding of the stages involved and a commitment to evolving practices and strategies that best suit the organization's unique needs and goals.

When it comes to choosing an object-relational mapping (ORM) library for your Ruby application, Active Record is usually the favorite choice. It's an easy-to-use ORM library that allows for lots of data wrangling without resorting to SQL. All the same, you might wonder: "Is Active Record the only Ruby ORM library I can use?".