Building a Realtime Streaming System for a Smart City

Partner: Udemy
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Description: In this comprehensive Udemy course, you'll be building a sophisticated Smart City End to End Realtime data streaming pipeline, covering every aspect from data ingestion to processing, and finally storage and visualization.Throughout this hands-on course, you'll leverage an arsenal of industry-leading tools and technologies, including Apache Kafka for high-throughput, fault-tolerant messaging, Apache Spark for real-time data processing, Docker for containerization, and a suite of AWS services such as S3, Glue, Athena, IAM, and Redshift for cloud-based data storage, management, and analytics.What's in the course?Architect a Smart City End to End Realtime data streaming pipelineSet up and configure Docker containers for development and deploymentCode IoT service producers for generating diverse data streams including vehicle information, GPS coordinates, traffic updates, weather conditions, and emergency incidentsStream data into Apache Kafka for real-time processing and distributionUtilize AWS services including S3, Glue, Athena, IAM, and Redshift for cloud-based data storage, management, and analyticsConfigure S3 buckets with policies and manage IAM roles and credentials for secure accessUse AWS Glue for data cataloging and transformation, enabling seamless integration with downstream analytics toolsQuery data stored in AWS S3 with Athena, executing powerful SQL queries on your data lakeSet up and manage a scalable data warehouse with AWS Redshift for advanced analytics and visualizationTroubleshoot, debug, and optimize your streaming solution for maximum performance and reliabilityBuild a portfolio project showcasing your proficiency in real-time data engineering and cloud-based analyticsBut that's just the beginning! You'll delve into the intricacies of AWS setup, learning how to
Category: IT & Software > Other IT & Software > Data Engineering
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Price: 24.99
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Source: Impact
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