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Building Resilient Streaming Analytics Systems on Google Cloud Coursera

Highlights
Tuition fee
Unknown
Tuition fee
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
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Taught in
English
Taught in
English

About

This Building Resilient Streaming Analytics Systems on Google Cloud course offered by Coursera in partnership with Google Cloud provides a hands-on approach to working through real-world challenges in building streaming data pipelines, with a primary focus on managing continuous, unbounded data using Google Cloud products. 

Overview

This Building Resilient Streaming Analytics Systems on Google Cloud course offered by Coursera in partnership with Google Cloud introduces the fundamentals of streaming data pipelines, outlining overall learning objectives and a practical scenario used throughout the content and labs to make concepts tangible.

The course also explores streaming data use cases and architectures, covering applications and common patterns for real-time data processing across Streaming ETL, Streaming AI/ML, Streaming Applications, and Reverse ETL. 

Additionally, it offers a comprehensive overview of core Google Cloud services for messaging, processing, and analysis, demonstrating how these components work together in a cohesive, real-time architecture, and concludes with a summary of key concepts for building resilient and robust streaming data pipelines on Google Cloud.

What you will learn

  • Ingest and manage streaming data using Pub/Sub and Managed Service for Apache Kafka
  • Build and deploy streaming data pipelines with Dataflow
  • Implement streaming data solutions for real-time analytics and application serving with BigQuery and Bigtable

Programme Structure

Courses include:

  • Pub/Sub and Managed Service for Apache Kafka 
  • Dataflow
  • BigQuery
  • Bigtable
  • Stream Data with Pipelines
  • Architectural considerations for Pub/Sub and Managed Service for Apache Kafka

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Intermediate Level
  • This course is aimed at learners and data professionals who want to develop skills in designing and building real‑time streaming data pipelines on Google Cloud using services such as Pub/Sub, Dataflow, BigQuery, and Bigtable.

Tuition Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

Funding

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Building Resilient Streaming Analytics Systems on Google Cloud
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