A very common request we get from analytics users across all industries is the ability to export dashboard and analytic content to external files for collaboration and sharing. Whether the requirement is to export to PDF or export to XLS, exporting dashboard content to another popular media format remains an expected and important feature of modern business intelligence (BI). However, many analytics vendors lack options in exporting content, limiting the ability to share reports with non-analytics users.

Artificial intelligence (AI) is kind of a big deal. And when things are a big deal, they're ripe to be exploited. Fortunately, mounting concerns about AI security and privacy are met by plenty of guidance on best practices from the good folks in the open source world. The OWASP AI Security Project has emerged as a crucial initiative, offering developers clear, actionable guidance on designing, creating, testing, and procuring secure and privacy-preserving AI systems.

Workflow automation involves automating repetitive tasks and processes in a sequence using technology, reducing the need for manual intervention. It involves designing, creating, deploying, and automating business processes like data entry and customer interactions. Workflow automation uses software to replace manual and paper-based processes. Its primary goal is to ensure that the right people work on the right tasks at the right time.

At Snowflake, our product philosophy is centered on a single unified platform, and thus, a single core engine. To support all your workload needs with unmatched performance and efficiency, we continuously enhance and deliver performance improvements on this core engine. This approach allows you to benefit from enhanced performance effortlessly, without incurring additional costs or requiring migrations, upgrades or manual intervention.

Hey, you! Yeah, you! The puzzled-looking Spring Boot developer, scouring the web for a guide on integrating your microservices with Apache Kafka on Confluent Cloud with Stream Governance. Admit it, you’ve been Googling nonstop for the past hour and all you’ve found are examples using StringSerializer/StringDeserializer with not even the slightest mention of "schema registry-aware" serialization methods. And I bet the examples you found are implemented in Java.

This summer marks five years since we announced our first fully managed connector on Confluent Cloud in 2019, the Amazon S3 Sink Connector. Since then, our connector offerings have not only expanded significantly but also enabled teams to send hundreds of petabytes of data throughput. Today, we support over 80 pre-built, fully managed connectors, custom connectors, and secure private networking.

Storing information in a relational database and sharing it via a RESTful API is a very common scenario these days. Depending on your RDBMS (relational database management system), this may take a lot of development effort. One solution that attempts to simplify the process is the PostgREST web server add-on for PostgreSQL. If your organization uses the PostgreSQL database, PostgREST quickly adds basic CRUD (create, read, update, delete) functions in an easy-to-use RESTful HTTP interface.

Whether you’re working in the marketing department or the operations department, you’ve probably heard a lot about APIs and API integrations. API integration is the process of connecting different software systems or applications through their respective APIs to enable them to communicate and share data seamlessly. These have become the “buzz” terms of IT departments in recent years as more enterprises embrace the trend toward digital transformation.

Understanding API design is crucial for modern software development. Two popular approaches are GraphQL and REST. These technologies shape how data is exchanged and used over the internet, but they differ significantly in how they allow clients to interact with the server and retrieve data. Let's compare them in this article!