Systems | Development | Analytics | API | Testing

%term

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.

Keboola DEV/PROD Lifecycle Via Git

Keboola offers a robust virtual branching environment, enabling users to seamlessly create a shadow copy of their entire Keboola Project. This allows for development and testing of changes without affecting the production environment. These development branches contain a copy of the underlying project data, ensuring that when a pipeline is executed in the development branch, the production data remains unaffected.

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.

Strategic Role of Software Testing Companies in the EdTech Industry

According to a survey by Markets and Markets, the EdTech sector is seeing an unparalleled upswing, with the worldwide market size expected to reach an astounding $232.9 billion by 2027 at a CAGR of 13.2% over the period 2022–2027. This extraordinary expansion highlights the critical need for Edtech software testing services as well as a revolutionary change in how we study and access educational information.

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.

Mastering API Modeling: Essential Concepts and Practices

An API model acts as a blueprint for building scalable and maintainable software interfaces. In this article, you’ll discover how to design, implement, and validate a robust API model, including the use of AI models. We’ll cover key concepts like API modeling, essential components, user identification, and best practices.

Maximizing Efficiency and Savings with a Cutting-edge Test Data Management Framework

In today’s regulatory environment, organizations are compelled to adopt stringent security measures to mitigate the risk of PII (Personally Identifiable Information) data breaches in their production environments. However, the pressure to provision more test data in non-production environments, often sourced from production data, has introduced new vulnerabilities.

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.

What Makes Data-in-Motion Architectures a Must-Have for the Modern Enterprise

Cloudera’s data-in-motion architecture is a comprehensive set of scalable, modular, re-composable capabilities that help organizations deliver smart automation and real-time data products with maximum efficiency while remaining agile to meet changing business needs. In this blog, we will examine the “why” behind streaming data and review some high-level guidelines for how organizations should build their data-in-motion architecture of the future.