
Rethink data circulation using DataStreams and Change Data Capture. Learn to shift data preparation to creation point, building fresh datasets as streams for operational use or Apache Iceberg tables for analytics.

Explore real-time threat detection using machine learning, Apache Kafka, and ksqlDB. Learn about ZIEM, a network mapping and intrusion detection platform that generates instant network diagrams for quick anomaly detection.

Explore Striim's unified data streaming platform for rapid deployment of event stream pipelines, enabling real-time analytics and AI with built-in CDC and exactly-once processing.

Master data-in-motion techniques to accelerate trusted AI implementation, enhancing real-time data streaming across organizations for improved customer experiences and backend operations.

Explore Apache Kafka's next-generation rebalance protocol, enhancing stability and scalability for consumer groups in data streaming architectures.

Discover how serverless Flink revolutionizes real-time data processing, offering improved scalability, reduced costs, and increased flexibility. Learn to build low-latency applications focusing on business logic rather than infrastructure management.

Explore custom queries with Kafka Streams Interactive Queries v2. Learn to build IQ services, create tailored queries, and test applications for efficient state store access and business-aligned data processing.

Unlock real-time event streams to detect trends, issues, and threats. Learn how IBM Event Automation empowers teams to process events, define scenarios, and automate decisions.

Leverage Confluent Cloud on Azure to build real-time data flows, capture changes instantly, and simplify data pipeline development. Boost productivity and innovate faster with streaming data pipelines and self-service access.

Explore a unified architecture for stream processing, combining fast data storage to enhance simplicity, performance, and cost-efficiency in real-time data platforms.

Explorez l'impact invisible mais réel de notre empreinte numérique et découvrez comment apprivoiser notre "fantôme numérique" pour en faire un allié dans cette révolution des données.

Discover processes, platforms, and personnel needed to transform data culture into self-service, proactive insights. Learn to leverage data as a competitive advantage across business facets.

Explore WarpStream's solution for Apache Kafka challenges, leveraging S3 for efficient streaming storage. Learn cost-saving strategies and witness live performance tests handling high-volume data ingestion.

Explore Databricks Unity Catalog's unified governance solution for data and AI on the lakehouse, enabling secure discovery, access, and collaboration across clouds.

Explore efficient configuration management strategies for secure, scalable infrastructure. Learn to streamline config updates, version control, and secret management across environments.

Explore fundamental Apache Kafka concepts, including event-driven architecture, topics, producers, consumers, and key configurations. Gain confidence in learning this powerful platform.

Streamline document workflows using AI: Extract structured data from unstructured documents, reduce processing costs, and enhance business efficiency with Google's Document AI solutions.

Leverage unified batch and streaming analytics for real-time insights and actions, enabling competitive advantage through instant analysis of growing data volumes.

Explore L'Oréal's serverless, event-driven data platform for processing 20TB monthly, leveraging Google Cloud's managed analytics pipelines and orchestration tools for sustainable data handling.

Simplify and scale data analytics securely with Spark on Google Cloud, combining open source and cloud-native tools in a unified, fully managed platform for data and AI.

Explore the future of data engineering and emerging trends in this concise overview from Google Cloud experts.