As organizations continue to scale their data operations, modern architectures like Iceberg-basedopen lakehouses are emerging as the go-to solution for flexibility, performance, and cost efficiency. To support this evolution, Qlik Talend Cloud Pipelines introducestwo new capabilities designed to simplify and enhance the process of building openlakehouses with Snowflake:Lake landing for Snowflake and support for Snowflake-managed Iceberg tables.
The upgrade to Java 17 and Apache Camel 4 marks a significant milestone for Qlik Talend users, ensuring alignment with modern technological standards while maintaining security and performance. This article provides an in-depth guide to the "why," "how," and "what" of this upgrade, integrating detailed insights and actionable steps to ensure a smooth transition.
In today’s data-driven world, organizations are racing to unlock value from their data. But there’s a catch: garbage in, garbage out. If the data fueling decisions is flawed, the outcomes will be too. Poor-quality data doesn’t just create inefficiencies—it erodes trust, stifles innovation, and hits the bottom line.
For January & February 2025, Connector Factory has released more connectors and enhancements for data analytics, data integration and application automation.
Qlik Talend Cloud just got a boost with two exciting new features! First, is the introduction of Cross Project Pipelines, enabling modular design, increased reusability, and better alignment with data mesh principles. Second, the AI Processor in Qlik Talend Cloud now supports Snowflake Cortex AI functions.Read on to learn more...
To evaluate trust in data, organizations need a metric-driven, objective measure that can be tunedto meet their specific definitions of data quality. A flexible and transparent approach ensures organizations can adapt trust assessments to their unique operational data quality needs. Read this blog to learn how Qlik Trust Score in Qlik Talend Cloud can help.
Qlik's Dynamic Engine, natively integrated with Kubernetes (K8s), revolutionizes data processing with unmatched scalability, automation, and unified workflows.
Supporting on-premise, hybrid, and SaaS environments, it offers flexibility for modern enterprises. Key features include Kubernetes-driven scalability, seamless migration from Remote Engines, and automated updates via a built-in versioning system.
By optimizing resource allocation and unifying workflows across the Qlik Talend Cloud, Dynamic Engine delivers a future-ready solution for large-scale data integration and processing needs.
For November & December 2024, Connector Factory has released more connectors and enhancements for data integration, data analytics and application automation.