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Qlik Answers - quick product demo - Do More with Qlik

Qlik Answers offers a solution with Generative AI and Retrieval-Augmented Generation (RAG) allowing you to create conversational experiences with your data that exists in unstructured forms. Users can ask questions and receive reliable, consistent answers with links to source content, enhancing decision-making and business performance. Unlike other solutions, Qlik Answers is an out-of-the-box, self-service tool that simplifies deployment, reduces complexity, and ensures high security and compliance.

New with Confluent Platform: Enhanced security with OAuth Support, Confluent Platform for Apache Flink (LA), a new HTTP Source Connector, and More

At Confluent we’re committed to building the world's leading data streaming platform that's cloud-native, complete, and available everywhere your data and applications reside. We offer this data streaming platform as a fully managed service in the cloud—Confluent Cloud; as a self-managed software that runs in your own environments—Confluent Platform; or as a hybrid of each of these.

Mastering API Governance: Best Practices for Success

API governance sets the rules and practices to manage APIs efficiently, ensuring they remain discoverable, consistent, and secure. It’s crucial for businesses aiming to control API sprawl and enhance collaboration. This guide explores API governance, its role in effective API management, its benefits, and best practices for successful implementation.

What is Idempotency?

Idempotent operations produce the same result even when the operation is repeated many times. The result of the 2nd, 3rd, and 1,000th repeat of the operation will return exactly the same result as the 1st time. In this post, we will demystify the concept of idempotency—a fundamental property that ensures consistency, predictability, and reliability in APIs and distributed systems.

Flink AI: Real-Time ML and GenAI Enrichment of Streaming Data with Flink SQL on Confluent Cloud

Modern data platforms enable enterprises to extract valuable business insights from data, sourced from various origins. Data engineers, data scientists, and other data practitioners utilize both data streaming and batch processing frameworks as a means to provide these insights. While batch processes work on historical data, stream processing extracts insights in real time, enabling businesses to react faster with respect to changing events.