Systems | Development | Analytics | API | Testing

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Implementing a PIM or PXM* solution will bring numerous benefits to your organization, in terms of improving efficiency, increasing sales and conversions, reducing returns, and promoting customer loyalty through more accurate, more complete, and more engaging product content. Here we explore these benefits in more detail.

Artificial intelligence (AI) apps are becoming increasingly crucial for individual customers and businesses alike. These apps bring many benefits, such as task automation, efficient analysis of large data sets, and data-informed decision-making, making AI-powered applications highly valuable. As a result, DevOps teams working on AI apps can’t afford poor performance.

With all the recent discussion about the use of artificial intelligence (AI) and large language models (LLMS) like ChatGPT, you may think that AI is a new phenomenon. But in fact, the US Department of Defense (DoD) has been investing in AI for more than 60 years.

How to combine your enterprise data with generative AI.

The term ‘data persistence’ refers to data that remains available, even when the program that created it is idle, sleeping or unable to open. In many cases, our iOS apps need to provide support around the clock, so we need our data to be ‘always on’ – even when the apps themselves are not.

Streaming analytics is an invaluable capability for organizations seeking to extract real-time insights from the log data they continuously generate through applications and cloud services. To help our community get started with streaming analytics on AWS, we published a piece last year called An Overview of Streaming Analytics in AWS for Logging Applications, where we covered all the basics.

The decision between in-house software development and the one by a vendor is an important consideration for businesses. Each approach has its own set of benefits, and understanding these can help in making a well-informed choice that aligns with your business objectives. In this article, we’ll cover important areas like cost, speed to market, quality, and security. This will give you a clear understanding of each option, helping you make the best choice for your business.

Seeking to enhance your API operations? Delve into the world of API management, where securing, optimizing, and maximizing the potential of your API inventory becomes clear. Uncover the significance of API gateways, grasp the nuances of lifecycle management, and learn strategies to maintain uptime and performance. Ideal for those looking to tighten security, increase efficiency, or generate revenue through API management, these insights are designed to be practical and straightforward.

Inefficient operational processes often lead to bottlenecks, delays, and increased costs, hindering a company's ability to respond swiftly to changing market demands and optimize its supply chain management. Enter Business Process Modeling and Notation (BPMN), a powerful visual language that helps businesses enhance operational efficiency and streamline complex processes.