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Building Resilient Streaming Analytics Systems
This course is part of Google Cloud Data Engineer Learning Path.
Course Cost
₹ 6,030
Beginner
Skill Level
1 Week
Self-paced lessons
This practical course teaches the implementation of resilient streaming analytics systems on Google Cloud. Through hands-on labs and comprehensive instruction, students learn to build real-time data processing pipelines using key services like Pub/Sub for event handling, Dataflow for stream processing, and BigQuery for analysis. The curriculum covers essential concepts in streaming data management, including high availability, throughput optimization, and data transformation. Participants gain practical experience in implementing enterprise-scale streaming solutions for real-time business analytics.
English
What you'll learn
Develop real-time streaming analytics solutions for business use cases
Implement data event management using Pub/Sub messaging service
Create and optimize streaming pipelines with Dataflow
Integrate Dataflow, BigQuery, and Pub/Sub for real-time analysis
Optimize high-throughput data processing with BigQuery and Bigtable
Deploy resilient streaming solutions for enterprise applications
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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CREATED BY
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There are 8 modules in this course
This comprehensive course focuses on building resilient streaming analytics systems using Google Cloud services. The curriculum covers the entire streaming data pipeline, from ingestion through Pub/Sub to processing with Dataflow and storage in BigQuery or Cloud Bigtable. Students learn to handle real-time data processing challenges, implement high-throughput solutions, and create scalable streaming architectures. Through hands-on labs using QwikLabs, participants gain practical experience in building and managing streaming data solutions for real-world business applications.
Introduction
Module 1
Introduction to Processing Streaming Data
Module 2
Serverless Messaging with Pub/Sub
Module 3
Dataflow Streaming Features
Module 4
High-Throughput BigQuery and Bigtable Streaming Features
Module 5
Advanced BigQuery Functionality and Performance
Module 6
Course Summary
Module 7
Course Resources
Module 8
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Google Cloud Data Engineer Learning Path
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.