Systems | Development | Analytics | API | Testing

Bringing Real-Time Streaming to Qlik Open Lakehouse

The appetite for real-time data continues to grow. Across industries, the ability to act on data as it arrives is increasingly central to how leading organizations compete, from IoT and fraud detection to event driven analytics and AI agent architectures. Streaming data is no longer a specialist workload. It is becoming a core requirement. I am excited to announce that streaming ingestion is generally available in Qlik Open Lakehouse, part of Qlik Talend Cloud.

Ep 63 | Open Lakehouse Architecture: How to Scale AI to Production

Open lakehouse architecture is becoming the foundation for production AI and enterprise AI at scale. In this episode of The AI Forecast, Dipankar Mazumdar, Director of Developer Relations at Cloudera and co-author of the book “Engineering Lakehouse with Open Table Formats,” joins Paul Muller to explain why open lakehouse architecture is critical for moving from AI pilot to production AI.

Evolve25: Cloudera Product & Strategy Keynote

Learn how to eliminate the gap between public and private clouds with a unified data fabric that offers one-hour time-to-value.. Discover how the acquisition of Octopai and Taikun enables automated data lineage and seamless Kubernetes deployment across any environment. From private AI inferencing to Spark 4 upgrades, see the future of enterprise data management and hybrid cloud portability.

Simplified Kafka Cluster Migration: Strimzi to AWS Express Brokers with Lenses

Migrating Kafka clusters doesn't have to be a complex or high-risk operation. In this technical walkthrough, we demonstrate how Lenses K2K managed through Lenses 6 simplifies the migration of mission-critical banking applications from Strimzi to AWS Express Brokers with minimal downtime and zero data loss.

Queues for Apache Kafka Is Here: Your Guide to Getting Started in Confluent

Queues for Kafka is now in General Availability (GA) on Confluent Cloud and is coming soon to Confluent Platform, coinciding with the Apache Kafka 4.2 release. This milestone brings production-ready queue semantics and elastic consumer scaling natively to Kafka through KIP-932, enabling organizations to consolidate their messaging infrastructures while gaining elastic consumer scaling and per-message processing controls. Get started.

How ClearML Helps Optimize Resource Allocation Across AI Workloads

Author: Adam Wolf Efficient resource allocation is a foundational requirement for scaling AI workloads, particularly as organizations move from isolated experiments to shared infrastructure supporting multiple teams, models, and environments. GPUs, CPUs, and high-performance storage are costly and finite, and without coordination, utilization often degrades as usage grows.

Evolve25: Cloudera CSO KEYNOTE with Abhas Ricky

Cloudera Chief Strategy Officer Abhas Ricky breaks down the "Era of Intelligence," detailing how enterprise data is the only remaining moat in a commoditized AI market. Discover the 2025 AI Maturity Curve, from simple chat copilots to the high-fidelity autonomous agents now running in production at global banks. Learn how Cloudera's partnership with Dell and Nvidia reduces AI deployment time from months to weeks while delivering a 3-5x improvement in TCO.

Stop Cloud Complexity: Cloudera's Anywhere Cloud for Unified Data & AI

Today’s enterprises face immense pressure: scaling fast, staying compliant, and unlocking AI-driven insights—all while fighting siloed data and growing cloud complexity. There is a better way forward, and it starts with Cloudera Anywhere Cloud. Cloudera is the only data and AI platform that delivers the cloud experience anywhere—public clouds, data centers, and the edge—bringing unified security, governance, and control to data wherever it resides. Access 100% of your data for AI-driven insights and future-proof—not just modernize–your enterprise data strategy.