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Google Cloud Professional Data Engineer

Original price was: $29.00.Current price is: $8.00.

Sale Price: $8
Regular Price: $29
Size: 3.77 GB
Duration: 10.31 hours
Lessons: 87
Categories: Cloud Computing, Data Science, Analytics
Brand: Expert Training
Language: English
Delivery: Instant Download
Rating: ⭐️⭐️⭐️⭐️⭐️ 4.9

Description

Google Cloud Data Engineer: Google Cloud Professional Data Engineer

Google Cloud Data Engineer is essential for mastering data processing and analytics on the Google Cloud Platform.

What you’ll learn

  • Learn what’s needed to pass the Google Cloud Professional Data Engineer Certification Exam
  • Design Data Processing Systems with Google Cloud Tools
  • Operationalize Machine Learning Models for Deployment
  • Learn fundamentals of Big Data and Machine Learning
  • Discover how to use Google Cloud SQL and Spark
  • Learn to use BigQuery ML for predictions
  • Build real-time IoT Dashboards with DataFlow and Data Studio
  • Learn to use Google Cloud APIs for ML, such as Vision API and AutoML
  • Build Data Lakes and Data Warehouses on Google Cloud
  • Use DataFlow for Serverless Data Processing with Apache Beam
  • Understand the Google Cloud Platform Console
  • Create Virtual Machines with Google Compute Engines

Requirements

  • Basic understanding of cloud computing
  • Familiarity with SQL

Description: Google Cloud Data Engineer

This course prepares you for the Google Cloud Professional Data Engineer certification. You will learn how to design, build, and operationalize data processing systems and machine learning models using Google Cloud technologies. The course covers data modeling, data warehousing, and data visualization techniques with a focus on Google BigQuery and Cloud Dataflow. By working on real-world projects, you will gain practical skills to handle large datasets efficiently and implement data solutions that drive business insights.

  • Designing Data Processing Systems
    • Google Cloud Storage
    • Data Pipelines
    • BigQuery
    • DataFlow
    • Cloud Composer
  • Operationalize Data Systems
    • Cloud BigTable
    • Cloud SQL
    • Data Cleaning and Transformation
    • Data Monitoring
  • Machine Learning DevOps
    • Google Cloud ML APIs
    • Deploying ML Pipelines
    • Infrastructure Decisions
  • Data Solutions Quality
    • Data Security and Access
    • Test Suites and Troubleshooting
    • Verification and Monitoring
    • Data Portability
  • And much more!

External Related Source

Who this course is for

  • Data analysts and engineers
  • IT professionals looking to specialize in cloud
  • Anyone preparing for the Google Cloud certification

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