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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 Amazon Kinesis 2026 - Mastering Strategic Data Streaming 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 Amazon Kinesis 2026 - Mastering Strategic Data Streaming 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 Amazon Kinesis 2026 - Mastering Strategic Data Streaming training is carried out through:
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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.
Discover the new features of Amazon Kinesis 2026 through practical exercises on AWS Console and Python SDK, configure shards and streams for high-velocity flows, analyze real-time latency metrics, create a first simulated IoT data producer, and produce a deliverable architecture diagram to validate strategic business foundations.
Dive into Kinesis producers with KPL and Firehose, integrate heterogeneous sources like application logs and sensors, test resilience to traffic spikes via simulations, optimize partition key for balancing, develop a scalable Python producer script, and generate a performance report for business-critical applications.
Master Kinesis consumers via Lambda and Kinesis Data Analytics with Flink, process streams in real-time for aggregations and joins, implement checkpoints for fault-tolerance, analyze real fraud detection cases, deploy an end-to-end pipeline, and validate with a custom CloudWatch dashboard for strategic insights.
Strengthen Kinesis 2026 stream security with fine-grained IAM policies, at-rest and in-transit encryption, configure VPC endpoints for network isolation, automatically scale shards via auto-scaling, simulate attacks and recoveries, integrate advanced monitoring with CloudWatch alarms, and produce a data governance plan for enterprise compliance.
Apply Kinesis 2026 to real scenarios like real-time analytics for e-commerce and industrial IoT, integrate with SageMaker for predictive ML, develop a data streaming business plan, test a complete project from A to Z, evaluate ROI via AWS costs, and conclude with a certifying portfolio to boost your innovative enterprise strategy.
Target audience
Data engineers, cloud architects, digital strategy managers, and IT project managers in companies seeking to upskill in real-time streaming for data-driven decisions.
Prerequisites
Basic knowledge of AWS (S3, Lambda), programming basics in Python or Java, experience managing structured data flows.
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