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05

Build Streaming Data Pipelines on Google Cloud

05

Build Streaming Data Pipelines on Google Cloud

magic_button Data Insights Data Lake Modernization Data Engineer Streaming Analytics
These skills were generated by AI. Do you agree this course teaches these skills?
4 hours 15 minutes Intermediate

In this course you will get hands-on in order to work through real-world challenges faced when building streaming data pipelines. The primary focus is on managing continuous, unbounded data with Google Cloud products.

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Course Info
Objectives
  • 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
Prerequisites

Proficiency in a common programming language like Python

A strong understanding of SQL

Data fundamentals like data modeling, formats, and ETL/ELT processes

Familiarity with the Google Cloud Platform (GCP)

Audience
Data Engineers Data Analysts Machine Learning Engineers Software Developers
Available languages
English, 日本語, español (Latinoamérica), français, português (Brasil), italiano, and 한국어
How do I earn a completion badge?
Upon finishing a course you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
Do you prefer learning with an instructor?
View the public classroom schedule here

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