riversongs Posted May 28 Report Share Posted May 28 Free Download Udemy - Streaming Data Pipeline from Confluent Kafka to AWS MYSQL DBPublished 5/2025Created by Nilesh ShuklaMP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChLevel: All | Genre: eLearning | Language: English | Duration: 14 Lectures ( 1h 40m ) | Size: 814 MBHands on course to build Real Time Data Streaming Pipeline from Confluent Kafka to Lambda to AWS MySQL RDS from scratchWhat you'll learnHands On course to learn to use Confluent Kafka & AWS Cloud PlatformsLearn basics of navigating & using AWS Cloud Platform services like Lambda, RDS-MYSQL, IAM, Cloudwatch, Secrets Manager & moreLearn basics of Confluent Platform and overview of services like: Topics, Connectors, API Keys, Clusters & moreWatch & Learn to build on your AWS + mConfluent Accounts- Real Time Data Streaming pipeline from Confluent to AWS RDS using Serverless Lambda ComputeRequirementsBe able to create AWS Cloud Platform Account (Free Tier)Be able to create Confluent Kafka Platform AccountBasic understanding of PythonDescriptionIn this hands-on course, participants will follow along step-by-step to build a real-time streaming data pipeline that sends data from Confluent Kafka to AWS Lambda and finally into an AWS RDS MySQL Database. This course is designed to provide practical, real-world skills by walking through each component of the architecture, ensuring that learners not only understand the concepts but also apply them directly in a cloud environment.On the AWS side, participants will gain experience working with several important services, including AWS IAM for securing resources, AWS Secrets Manager for managing sensitive credentials, and AWS CloudWatch for monitoring and logging the data pipeline in action. These services are essential for building secure, scalable, and reliable applications in the cloud.On the Confluent Kafka side, learners will set up a fully managed Kafka cluster, create topics for message streaming, and configure a fully managed Source Connector to simulate real-world data ingestion. This gives participants valuable exposure to enterprise-grade Kafka infrastructure without the overhead of managing the platform themselves.By the end of this course, participants will have built a working, scalable pipeline, gained insights into cloud-native architectures, and acquired hands-on experience that can be directly applied to real-world projects or professional roles.This course is suitable for budding Cloud Engineers, mid level Data Engineers, Product Owners, Product Mangers, Scrum Masters and Technology Leaders looking to get a hands-on experience of building a Real time Streaming Data Pipeline.Who this course is forBeginner Cloud Developers looking to build Real Time Data pipeline development skills and add a real life project to resumeMId Level to Sr. Cloud Developers to quickly gain understanding of building Real Time Streaming Data Pipelines using AWS + Confluent PlatformsProduct Owners looking to build understanding of capabilities, risks & issues in building data pipeline using AWS + Confluent Kafka platformProduct Managers looking to build understanding of capabilities, risks & issues in building data pipeline using AWS + Confluent Kafka platformTechnology Leaders looking to deepen understanding of capabilities, efforts, risks & issues in building data pipeline using AWS + Confluent Kafka platformSolution Architects looking for building hands-on Data Pipeline using AWS MySQL DB + Confluent Kafka PlatformsHomepagehttps://www.udemy.com/course/streaming-data-pipeline-from-confluent-kafka-to-aws-mysql-db/AusFilehttps://ausfile.com/4nr0ilapbj2c/pgpgn.Streaming.Data.Pipeline.from.Confluent.Kafka.to.AWS.MYSQL.DB.rar.htmlRapidgator Links Downloadhttps://rg.to/file/d98d6ba71060a88bf0ac553253a5fa16/pgpgn.Streaming.Data.Pipeline.from.Confluent.Kafka.to.AWS.MYSQL.DB.rar.htmlFikper Links Downloadhttps://fikper.com/o4eh4LCLwn/pgpgn.Streaming.Data.Pipeline.from.Confluent.Kafka.to.AWS.MYSQL.DB.rar.htmlNo Password - Links are Interchangeable Link to comment Share on other sites More sharing options...
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