GCP Engineering & Streaming Architecture

Google Cloud    |    Intermediate
  • 12 videos | 1h 9m 47s
  • Includes Assessment
  • Earns a Badge
Rating 4.7 of 35 users Rating 4.7 of 35 users (35)
Feature engineering can be an essential tool in applied machine learning when enhancing a dataset. Explore concepts of feature engineering, including areas of streaming architecture and implementations.

WHAT YOU WILL LEARN

  • Describe the concepts of feature engineering
    Recall the benefits of quality features with feature engineering and feature selection
    Describe the process of input selection in feature engineering
    Demonstrate feature engineering in use cases
    Recall the concepts of streaming data and real-time stream processing
    Describe dataflow triggers and late data
  • Install java jdk on windows 10
    Demonstrate how to install apache maven on windows 10
    Install google cloud sdk and initialize sdk shell on windows 10
    Demonstrate the process of streaming pipelines using dataflow sdk 2.x and java in cloud sdk shell
    Demonstrate the process of streaming pipelines using dataflow sdk 2.x and python in google cloud shell
    Describe feature engineering concepts and streaming data architecture

IN THIS COURSE

  • 4m 2s
    Upon completion of this video, you will be able to describe the concepts of feature engineering. FREE ACCESS
  • 1m 54s
    Upon completion of this video, you will be able to recall the benefits of quality features with feature engineering and feature selection. FREE ACCESS
  • Locked
    3.  Input Operations
    6m 9s
    Upon completion of this video, you will be able to describe the process of feature selection in engineering. FREE ACCESS
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    4.  Feature Engineering Operations
    3m 54s
    In this video, you will learn how to use feature engineering in use cases. FREE ACCESS
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    5.  Exploring Stream Data
    5m 49s
    After completing this video, you will be able to recall the concepts of streaming data and real-time stream processing. FREE ACCESS
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    6.  Exploring Dataflow Triggers and Late Data
    4m 1s
    Upon completion of this video, you will be able to describe Dataflow triggers and late data. FREE ACCESS
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    7.  Installing Java JDK on Windows 10
    5m 55s
    Learn how to install the Java JDK on Windows 10. FREE ACCESS
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    8.  Installing Apache Maven on Windows 10
    4m 23s
    In this video, you will learn how to install Apache Maven on Windows 10. FREE ACCESS
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    9.  Installing Google Cloud SDK on Windows 10
    5m 9s
    In this video, find out how to install the Google Cloud SDK and initialize the SDK Shell on Windows 10. FREE ACCESS
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    10.  Implementing Streaming Pipelines with Java
    10m 1s
    Learn about the process of streaming pipelines using Dataflow SDK 2.x and Java in Cloud SDK Shell. FREE ACCESS
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    11.  Implementing Streaming Pipelines with Python
    13m 4s
    In this video, you will learn about the process of streaming pipelines using Dataflow SDK 2.x and Python in Google Cloud Shell. FREE ACCESS
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    12.  Exercise: Features and Streaming Data Models
    5m 27s
    After completing this video, you will be able to describe feature engineering concepts and streaming data architectures. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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