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Google Cloud Professional Data Engineer Certification Course

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Learn to use Google Cloud for Data Engineering and prepare for the Certification Exam!


1. Introduction and Course Welcome
  • 1.1 Course Slides.html
  • 1. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.html
  • 2. Course Curriculum Overview
  • 3. GCP Data Overview
  • 4. Data Lifecycle

  • 2. Introduction to Google Cloud
  • 1. Introduction to Google Cloud.html
  • 2. What is Cloud A Cloud Computing Overview
  • 3. GCP Network Infrastructure
  • 4. GCP Network Connections
  • 5. Why Choose GCP
  • 6. Google Cloud Account Set-up
  • 7. Billing and Budgets
  • 8. Billing Tour DEMO
  • 9. Setting a Budget Alert DEMO

  • 3. Google Storage Overview
  • 1. GCP Storage Overview
  • 2. GCP Storage Tour
  • 3. Cloud Storage
  • 4. Cloud Storage DEMO
  • 5. Filestore
  • 6. Filestore DEMO
  • 7. Cloud SQL
  • 8. Cloud SQL DEMO
  • 9. Cloud Spanner
  • 10. Cloud Spanner DEMO
  • 11. Cloud BigTable
  • 12. Memorystore

  • 4. Big Data Overview
  • 1. Big Data Overview
  • 2. MapReduce
  • 3. Apache Hadoop
  • 4. Apache Pig
  • 5. Apache Spark
  • 6. Apache Kafka

  • 5. Google Bigquery
  • 1. Introduction to Bigquery
  • 2. Data Lakes vs Data Warehouse
  • 3. BigQuery Architecture
  • 4. BigQuery Basic Hierarchy
  • 5. BigQuery Basics DEMO
  • 6. BigQuery Command Line Tool DEMO
  • 7. BigQuery Ingesting Data Input
  • 8. BigQuery Loading Data DEMO
  • 9. BigQuery Understanding Schemas
  • 10. BigQuery Nested and Repeated Fields
  • 11. Nested Fields DEMO
  • 12. Partioning and Clustering
  • 13. BigQuery and Machine Learning
  • 14. BigQuery and Machine Learning DEMO
  • 15. BigQuery Best Practices
  • 16. BigQuery IAM Policy and Monitoring
  • 17. BigQuery Streaming

  • 6. Dataproc on Google Cloud
  • 1. Introduction to Dataproc
  • 2. Hadoop Based Ecosystem Review
  • 3. Dataproc Key Features
  • 4. Dataproc Optimization
  • 5. Dataproc DEMO
  • 6. Dataproc with Cloud Storage

  • 7. Cloud Data Fusion
  • 1. Introduction to Data Fusion
  • 2. Cloud Data Fusion
  • 3. Data Fusion User Interface
  • 4. Data Fusion DEMO

  • 8. Cloud Composer
  • 1. Introduction to Cloud Composer
  • 2. Apache Airflow Overview
  • 3. Cloud Composer
  • 4. Cloud Composer DEMO

  • 9. Cloud Dataflow
  • 1. Introduction to Cloud Dataflow
  • 2. Cloud Dataflow Overview
  • 3. Cloud Dataflow Templates and SQL
  • 4. Cloud Dataflow DEMO

  • 10. Google Cloud Pub Sub
  • 1. Introduction to Pub Sub
  • 2. Apache Kafka Pulsar
  • 3. Pub Sub Overview
  • 4. Pub Sub Architecture
  • 5. Pub Sub DEMO

  • 11. Data Studio on Google Cloud
  • 1. Introduction to Data Studio
  • 2. Data Studio Overview
  • 3. Data Studio DEMO

  • 12. Dataprep on Google Cloud
  • 1. Introduction to Dataprep
  • 2. Dataprep Features and Overview
  • 3. Dataprep DEMO

  • 13. Machine Learning on GCP
  • 1. Introduction to Machine Learning Overview Section
  • 2. Understanding the Machine Learning Pathway
  • 3. Why Machine Learning
  • 4. Types of Machine Learning Algorithms
  • 5. Supervised Machine Learning Process
  • 6. Difference AI and ML
  • 7. Overview AI and ML on Google Cloud
  • 8. Vertex AI Overview
  • 9. Vertex AI Workbench Jupyter Notebook on Google Cloud

  • 14. Google Cloud Professional Data Engineer Exam Guide
  • 1. Introduction to Exam Guide
  • 2. Exam Topics Overview
  • 3. Exam Experience
  • 4. Google Cloud Professional Data Engineer Practice Exam.html
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    تاریخ انتشار: ۲۹ خرداد ۱۴۰۲
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