Professional Certificate in Enterprise Realtime Applications
-- ViewingNowThe Professional Certificate in Enterprise Realtime Applications is a comprehensive course designed to equip learners with critical skills for developing real-time applications in the enterprise context. With the increasing demand for real-time data processing and analysis, this course is more relevant than ever, providing a solid foundation in modern technologies such as WebSockets, WebRTC, and Apache Kafka.
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⢠Realtime Architectures: An overview of realtime application architectures, including push-based and polling-based systems. Discussion of modern realtime technologies such as WebSockets and Server-Sent Events.
⢠Data Streaming: Understanding the concepts and technologies for data streaming, including Apache Kafka and Amazon Kinesis. Hands-on exercises in building data pipelines with realtime data streams.
⢠Realtime Analytics: Techniques and tools for realtime analytics, including time-series data analysis, complex event processing, and stream processing.
⢠Distributed Systems: An overview of the principles and practices of distributed systems, including consistency, availability, and partition tolerance. Hands-on exercises in building and deploying distributed systems.
⢠Realtime Web Development: Technologies and frameworks for building realtime web applications, including Node.js, React, and Angular. Hands-on exercises in building realtime web applications.
⢠Security in Realtime Applications: Understanding the unique security challenges of realtime applications, including data encryption, access control, and authentication. Hands-on exercises in securing realtime applications.
⢠Scalability and Performance: Techniques and best practices for scaling realtime applications, including load balancing, caching, and sharding. Hands-on exercises in scaling realtime applications.
⢠Realworld Case Studies: Analysis of realworld case studies of successful realtime applications, including their architecture, implementation, and deployment.
⢠Ethics and Governance: Discussion of the ethical considerations and governance issues in realtime applications, including data privacy, bias, and fairness.
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