GCP Data Engineer Pro: Monitoring and Troubleshooting Data Warehouses

Google Cloud 2024    |    Intermediate
  • 10 videos | 1h 3m 12s
  • Includes Assessment
  • Earns a Badge
Data warehouse environments need to have plenty of gauges and readouts to know how well they are operating. Organizations need to mitigate disaster by putting strong structures in place that can handle individual failures along the way. In this course, explore the intricacies of troubleshooting and monitoring with Google Cloud Monitoring, Google Cloud Logging, and the Google BigQuery admin panel. Next, learn about managing streaming pipelines for resiliency, strategies for load-balancing jobs in multiple locations, and the challenges of handling duplicate data in streaming pipelines. Finally, examine data replication options for Cloud SQL and how to achieve high availability with Memorystore Redis clusters. This course is one of a collection that prepares learners for the Google Professional Data Engineer exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline the use case for configuring google cloud monitoring to track and troubleshoot within the google cloud platform (gcp)
    Describe the use case for configuring google cloud monitoring to track and troubleshoot within google cloud logging
    Recognize the use case for configuring google cloud monitoring to track and troubleshoot within the google bigquery administrative interface
    Identify the behaviors of updating and restarting jobs when using google cloud dataflow
  • List how load balancers serve traffic across multiple application instances
    Outline how duplicate data can arise and how to resolve the issue
    Recognize the options for replicating cloud sql data
    Identify how high availability for redis clusters can be created with replicas in memorystore
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 46s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 7m 41s
    Upon completion of this video, you will be able to outline the use case for configuring Google Cloud Monitoring to track and troubleshoot within the Google Cloud Platform (GCP). FREE ACCESS
  • Locked
    3.  Troubleshoot and Monitor with Google Cloud Logging
    9m 11s
    After completing this video, you will be able to describe the use case for configuring Google Cloud Monitoring to track and troubleshoot within Google Cloud Logging. FREE ACCESS
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    4.  Troubleshoot and Monitor with the Google BigQuery Admin Panel
    6m 14s
    Through this video, you will be able to recognize the use case for configuring Google Cloud Monitoring to track and troubleshoot within the Google BigQuery administrative interface. FREE ACCESS
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    5.  Manage Streaming Pipelines for Resiliency
    5m 40s
    In this video, we will identify the behaviors of updating and restarting jobs when using Google Cloud Dataflow. FREE ACCESS
  • Locked
    6.  Load Balancing Jobs in Multiple Locations
    8m 32s
    Upon completion of this video, you will be able to list how load balancers serve traffic across multiple application instances. FREE ACCESS
  • Locked
    7.  Duplicate Data Handling in Streaming Pipelines
    8m 35s
    After completing this video, you will be able to outline how duplicate data can arise and how to resolve the issue. FREE ACCESS
  • Locked
    8.  Data Replication for Cloud SQL
    8m 3s
    Through this video, you will be able to recognize the options for replicating Cloud SQL Data. FREE ACCESS
  • Locked
    9.  High Availability with Memorystore Redis Clusters
    6m 36s
    Upon completion of this video, you will be able to identify how high availability for Redis clusters can be created with replicas in Memorystore. FREE ACCESS
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    10.  Course Summary
    54s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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