This year’s Qlik Connect was officially my 10th Qlik annual user conference… From Qonnections to Qlik World to Qlik Connect, you could assume I have seen it all already, but I can honestly say that this one was the best (and most fun!) yet. But don’t take my word for it. The buzz from our wonderful community of Qlik partners and customers speaks for itself.

When working on multiple tasks, it's important to consider performing them concurrently. However, when using concurrency, we need to be careful not to overload our system resources. In this article, we will cover the following: Let's get going!

SQL Server is a modern relational database management system. It helps data teams store and manage vast amounts of data. However, organizations need efficient methods to access and manipulate this data to leverage it fully. This is where SQL Server APIs come into play. APIs, or Application Programming Interfaces, act as intermediaries enabling different software applications to communicate.

In today’s hyper-connected world, systems are more intertwined and complex than ever. Myriad data sources including applications, databases, network and IoT devices continuously generate vast amounts of data, capturing every event and interaction. Imagine harnessing this data–login logs, firewall logs, IPS logs, web logins–aggregating it, and analyzing it to create a holistic view of your entire infrastructure.

Integrating and calling other APIs is important in the development process. APIs allow different systems to communicate and share data, enabling developers to build more dynamic and feature-rich applications. Whether it's accessing third-party services, aggregating data from multiple sources, or automating workflows, the ability to effectively integrate and call other APIs is a key component of a successful software strategy.

Application Programming Interfaces (APIs) integrate diverse software systems and enable seamless communication. 98% of enterprise leaders agree that APIs are essential to an organization’s digital transformation. But just having APIs isn’t enough; it’s equally important to provide clear instructions on how to use them. Think of API documentation as the user manual that comes with a product—except, in this case, the product is code.

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.

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.

Present in every version of Java, the java.lang.RuntimeException is an essential class that allows your application to handle unexpected problems without crashing. Runtime exceptions are exceptions only detected during the execution of your app - things like invalid user input or issues with external resources like files or networks. When an unexpected situation like those occurs, a RuntimeException can be thrown and your app can catch and handle it using a try-catch block.

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.