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Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.
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The Training Change Data Capture (CDC) - Mastering Real-Time Synchronization training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.
To ensure the quality of the Training Change Data Capture (CDC) - Mastering Real-Time Synchronization training, Learni provides the following teaching resources:
For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.
The assessment of skills acquired during the Training Change Data Capture (CDC) - Mastering Real-Time Synchronization training is carried out through:
Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.
Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Dive into expert CDC protocols such as log-based and trigger-based, applied to industrial robotic systems, using Debezium and Kafka Connect to capture real-time changes from Oracle, PostgreSQL, and SQL Server. Perform hands-on exercises on WAL logs, configure custom connectors, test latency in concrete IIoT use cases, and build your first functional pipeline with integrated monitoring to validate reliability in a simulated high-load environment.
Explore scalable CDC architectures on Kubernetes, integrating Apache Flink for stream processing of captured changes, tailored to robotic fleets and PLC automates. Deploy resilient clusters, manage Kafka topic partitioning, simulate failover scenarios with massive data volumes from industrial sensors, optimize CPU/memory consumption, and create Grafana dashboards to analyze real-time synchronization metrics.
Optimize CDC performance with advanced sharding and log compression, while securing streams via Kerberos and TLS for robotics environments. Apply semantic filters to changes, integrate GDPR-compliant rules for Industry 4.0, test simulated attacks on connected PLC pipelines, measure latency reductions of up to 50%, and deploy an incremental backup system with validated point-in-time recovery on real-world cases.
Implement expert CDC use cases in collaborative robotics, synchronizing real-time data between ERP, MES, and PLC automates via hybrid cloud/on-premise CDC. Address dual-writing challenges, migrate legacy systems to event-driven microservices, evaluate industrial productivity impact via quantified KPIs, complete a capstone project with a Dockerized deliverable, and earn your professional certification attestation to enhance your enterprise expertise.
Target audience
Robotics engineers, Industry 4.0 systems architects, PLC and programmable automation experts aiming to advance skills in critical data flows
Prerequisites
Advanced mastery of relational and NoSQL databases, experience in ETL/ELT and streaming data, knowledge of high-availability industrial environments
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