When creating an ODBC driver, it is essential to convert data from the data source into a relational format. This is necessary because ODBC and SQL require and operate on data that is organized with a fixed schema and returned in a tabular structure.

Testing is an essential part of any software deployment project, whether a new eCommerce gateway or migrating from SAP ECC to S/4HANA. But ERP testing SAP and other packaged applications differs from standard web or mobile application testing.

As automation capabilities grow, so do the related use cases. It’s not surprising that 80% of executives think automation can be applied to any business decision, according to a Gartner survey. But as implementation becomes easier and automation adoption more prevalent, your organization can quickly lose control, with too many automation projects happening in silos.

If you think workflow orchestration sounds like tech jargon, check out this simple explanation and consider practical advice for how to apply it to your business processes. Let’s start with the basics: what is workflow orchestration? Put simply, workflow orchestration is the end-to-end management of people, digital workers, systems, and data in a process.

In this post, we demonstrate how a robust and scalable generative artificial intelligence (GenAI) chatbot is built using Amazon Bedrock and Confluent Cloud. We walk through the architecture and implementation of this generative AI chatbot, and see how it uses Confluent's real-time event streaming capabilities along with Amazon's infrastructure to continually stay up to date with the latest advances from the AI landscape.

When Snowflake acquired the TruEra AI Observability platform, we committed to keeping TruLens open source. We’re not only keeping that promise; we’re emphasizing it. Our goal remains to support LLM app developers in creating trustworthy generative AI applications. In the weeks since the acquisition, we have already added ecosystem-friendly enhancements including: We plan to continue making enhancements and improvements that benefit the community at large, whether on Snowflake or not.

If you’re one of the cool kids building AI-based products you’ve probably heard of — or are already doing — RAG. If you’re not, let me tell you what RAG is before telling you one weird fact about it. “Retrieval-Augmented Generation” is nothing more than a fancy way of saying “including helpful information in your LLM prompt.” Still, there are many ways to do it and many questions to answer when building a RAG pipeline.

Struggling with API issues? API observability may have the solution. It reveals the critical insights that hide within API metrics, logs, and traces, offering you the power to diagnose and fix problems swiftly. In this article, we detail what API observability is, how it benefits your systems, and the ways it supersedes traditional monitoring to keep your digital services operating at peak performance.

When two different software applications want to join forces by sharing information, it’s not always a perfect union. Different database structures, programming languages, and network protocols tend to complicate the process. When reading about the various API technologies, you’ve probably come across two terms, OData vs REST, and wondered, “what’s the difference?” It turns out that OData vs. REST are two closely related concepts.

Nowadays, businesses need to integrate with various applications and services to streamline operations and improve customer experience. Application Programming Interfaces (APIs) play an important role in enabling this integration by letting different software systems to communicate and share data. API integration platforms are the key to maximizing the potential of your APIs.