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Streaming data pipeline using Confluent Kafka & Google Cloud
Free Download Streaming data pipeline using Confluent Kafka & Google Cloud
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 1m | Size: 2.58 GB
Hands on course - Real Time Data Streaming Pipeline using Confluent Kafka, GCP & Looker from scratch
What you'll learn
Able to build Enterprise Grade, scalable data pipeline using Confluent Kafka & Google Cloud Platforms
Configure, use and trouble shoot setting up of Google cloud Platform services like Buckets, Cloud Data Fusion
Configure, use and trouble shoot setting up of Confluent Cluster, Topic, Keys etc
Configure, use and trouble shoot setting up of Confluent managed Sink & Source Connectors
Configure, use and trouble shoot setting up of Google cloud Platform reporting services like Looker
Requirements
No programming experience needed
Able to create free confluent kafka account to follow along
Able to create free GCP - Google Cloud Platform account to follow along
Description
Course OverviewIn this hands-on course, participants will follow a step-by-step approach to build a real-time streaming analytics data pipeline that integrates Confluent Kafka with Google Cloud Platform services. Learners will design a pipeline that streams data from Kafka into Google Cloud Storage, processes it with Dataflow, stores it in BigQuery, and finally visualizes operational insights using Looker Studio. This practical journey ensures participants not only grasp the concepts but also apply them directly in a cloud-native environment.Google Cloud Platform ExperienceOn the GCP side, participants will gain exposure to key services including Cloud Storage, Dataflow, BigQuery, and Looker Studio. They will also learn essential skills in logging, monitoring, troubleshooting, and configuration, which are critical for building secure, scalable, and reliable streaming applications in the cloud.Confluent Kafka ExperienceOn the Kafka side, learners will set up a fully managed Kafka cluster, create topics for message streaming, configure a Datagen Source Connector to simulate real-world data ingestion, and integrate with GCP Storage Sink Connector. This provides valuable hands-on experience with enterprise-grade Kafka infrastructure—without the complexity of managing it manually.Learning OutcomesBy the end of the course, participants will have:Built a working, scalable streaming analytics pipeline.Gained insights into cloud-native architectures and streaming design patterns.Acquired hands-on skills directly applicable to real-world projects and professional roles.Who Should AttendThis course is ideal for Cloud Engineers, Data Engineers, Product Owners, Product Managers, Scrum Masters, and Technology Leaders seeking practical experience in building real-time streaming analytics pipelines with Confluent Kafka and Google Cloud.
Who this course is for
Entry Level Data Engineers who want to learn about building Data pipelines using Confluent Kafka & Google Cloud Platforms
Entry Level Cloud Engineers who want to learn about building Data pipelines using Confluent Kafka & Google Cloud Platforms
Mid to Sr. Level Data Engineers who want to get exposure on building Data pipelines using Confluent Kafka & Google Cloud Platforms
Product Managers/Product Owners who want to get exposure on building Data pipelines using Confluent Kafka & Google Cloud Platforms
Technology Leaders who want to get exposure on building Data pipelines using Confluent Kafka & Google Cloud Platforms
Homepage
https://www.udemy.com/course/streaming-data-pipeline-using-confluent-kafka-google-cloud/
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