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Building Resilient Streaming Analytics Systems on Google Cloud

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Course Features

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Duration

8 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

8 hours

Course Description

As streaming allows businesses to obtain real-time data on their business operations, processing streaming data is increasingly popular. This course will teach you how to create streaming data pipelines using Google Cloud. For handling streaming data, Pub/Sub will be described. This course will also cover how to apply aggregations to streaming data using Dataflow and how to store processed records in BigQuery and Cloud Bigtable for analysis. The course will give learners hands-on experience with QwikLabs, which allows them to build streaming data pipeline components for Google Cloud.

Course Overview

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International Faculty

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Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Understand use-cases for real-time streaming analytics

Use Pub/Sub asynchronous messaging service to manage data events

Write streaming pipelines and run transformations where necessary

Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis

Course Accreditations

Course Reviews

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