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    Building Resilient Streaming Analytics Systems on Google Cloud

    Course navigate_next Overview

    Building Resilient Streaming Analytics Systems on Google Cloud

    magic_button Data Pipeline
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    12 hours 15 minutes Intermediate universal_currency_alt 25 Credits

    Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.

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    Course Info
    Objectives
    • Interpret use-cases for real-time streaming analytics.
    • Manage data events using the Pub/Sub asynchronous messaging service.
    • Write streaming pipelines and run transformations where necessary.
    • Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis
    Prerequisites

    Experience analyzing and visualizing big data, implementing cloud-based big data solutions, and transforming/processing datasets.

    Google Cloud Big Data and Machine Learning Fundamentals (or equivalent experience)

    Some knowledge of Java
    Audience
    This class is intended for data analysts, data scientists and programmers who want to build for out-of-the-ordinary scenarios such as high availability, resiliency, high-throughput, real-time streaming analytics on leveraging Google Cloud.
    Available languages
    English, 日本語, español (Latinoamérica), français, português (Brasil), italiano, and 한국어
    What do I do when I finish this course?
    After finishing this course, you can explore additional content in your learning path or browse the catalog.
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    Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
    Interested in taking this course with one of our authorized on-demand partners?
    Explore Google Cloud content on Coursera and Pluralsight.
    Prefer learning with an instructor?
    View the public classroom schedule here.
    Can I take this course for free?
    When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.
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