Do More with Qlik - Qlik Talend Data Integration Replicate Task - YouTube Analytics Data Connector
Quickly see how to use Qlik Talend Data Integration to create a Replicate job to move data from YouTube Analytics to your analytics data store.
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.
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.
How to Build Autonomous Data Systems for Real-Time Decisioning
As data architectures evolve, we are seeing a fundamental shift from systems designed to report on the past to systems designed to influence the future. At the heart of this shift are two critical, interconnected concepts: As organizations pursue more data-driven decision making, the gap between insight and action has become a competitive constraint. Together, real-time decisioning and autonomous data systems represent the evolution of real-time data systems—where insight flows directly into action.
Working smarter wth data - removing the real barriers to insight - webinar replay with live Q & A
New regulations have changed the stakes. With NIS2, DORA, and GDPR, senior leaders are now personally accountable for how data is accessed, analysed, and shared. Yet in many organizations, critical insight still flows through spreadsheets, slide decks, and manual exports - outside governed systems and beyond auditability. Once data leaves controlled platforms, visibility and accountability disappear.
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.
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.
Demo days: Reliability Under Pressure: How to Build Self-recovering Data Pipelines
Modern data pipelines don’t fail loudly. A schema change slips through. A few bad records halt ingestion. Dashboards go stale. Engineers rerun backfills. Warehouse costs spike. Business teams begin to question the data. Pipeline instability and silent failures remain some of the biggest bottlenecks for analytics teams operating at scale.
Automate Your Data Workflows: Connect Databox MCP to Make.com
In this video, we show you how to connect Databox to Make using the Model Context Protocol (MCP). Learn how to give your automated workflows and AI tools direct access to your live business metrics, empowering you to easily fetch context, analyze data, and build data-driven automations faster than ever. Links & Resources: About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.
From Instinct to Operating System: How Wistia Turned Strategy Into a Scalable Machine
In the early days of a company, decisions move quickly because the founder carries most of the context. Priorities are clear. Communication is simple. The team is small enough that alignment happens without much effort. As a company grows, that stops working. More customers introduce new use cases. More products create more tradeoffs.