[FreeCourseSite.com] Udemy - Master Data Engineering using GCP Data Analytics

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[FreeCourseSite.com] Udemy - Master Data Engineering using GCP Data Analytics

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收录时间：2024-04-28
最近下载：2025-08-03

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文件列表

  • 7. ELT Data Pipelines using Dataproc on GCP/12. Run and Validate Spark SQL Scripts in GCS.mp4 93.9 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/21. Review Steps and Design to create Dataproc Workflow Template.mp4 77.9 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/23. Review gcloud Commands to Add Jobs to Dataproc Workflow Templates.mp4 77.9 MB
  • 4. Setting up Data Lake using Google Cloud Storage/19. Manage Blobs or Files in GCS using Python.mp4 77.6 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/16. Run Dataproc Jobs using Spark SQL Scripts.mp4 77.0 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/27. Run and Validate ELT Data Pipeline using Dataproc.mp4 66.9 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/7. Validate Spark SQL Script for File Format Conversion.mp4 64.9 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/3. Review Spark SQL Commands used for Dataproc Jobs.mp4 64.5 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/22. Create Dataproc Workflow Template and Add Cluster using gcloud Commands.mp4 62.9 MB
  • 5. Setup Postgres Database using Cloud SQL/10. Read Data From Files to Pandas Data Frame.mp4 62.6 MB
  • 4. Setting up Data Lake using Google Cloud Storage/25. Overview of Processing Data in GCS using Pandas.mp4 57.4 MB
  • 4. Setting up Data Lake using Google Cloud Storage/30. Get Column Names for Dataset using Schemas JSON File.mp4 56.9 MB
  • 5. Setup Postgres Database using Cloud SQL/8. Integration of GCP Cloud SQL Postgres with Python.mp4 56.5 MB
  • 9. ELT Data Pipelines using Databricks on GCP/12. Build ELT Pipeline using Databricks Job in Workflows.mp4 52.4 MB
  • 9. ELT Data Pipelines using Databricks on GCP/11. Validate Applications for ELT Pipeline using Databricks.mp4 50.4 MB
  • 4. Setting up Data Lake using Google Cloud Storage/31. Upload all Files to GCS as Parquet using Pandas.mp4 49.7 MB
  • 1. Introduction to Data Engineering using GCP Data Analytics/4. Overview of Udemy Platform to take course effectively.mp4 49.6 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/20. Getting Started with Dataproc Workflow Templates using Web UI.mp4 48.6 MB
  • 8. Big Data Processing using Databricks on GCP/19. Process Schema Details in JSON using Pyspark.mp4 48.5 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/15. Run Dataproc Jobs using Spark SQL Command or Query.mp4 47.8 MB
  • 8. Big Data Processing using Databricks on GCP/20. Create Dataframe with Schema from JSON File using Pyspark.mp4 47.4 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/9. Validate Spark SQL Script for Daily Product Revenue.mp4 46.9 MB
  • 5. Setup Postgres Database using Cloud SQL/12. Write Pandas Dataframe into Postgres Database Table.mp4 46.4 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/24. Add Jobs to Dataproc Workflow Template using Commands.mp4 45.3 MB
  • 5. Setup Postgres Database using Cloud SQL/17. Get Secret Details from GCP Secret Manager using Python.mp4 43.6 MB
  • 4. Setting up Data Lake using Google Cloud Storage/32. Perform Validation of Files Copied using Pandas.mp4 42.8 MB
  • 6. Big Data Processing using Google Dataproc/10. Copy Local Files into HDFS on Dataproc.mp4 42.2 MB
  • 6. Big Data Processing using Google Dataproc/11. Copy GCS Files into HDFS on Dataproc.cmproj.mp4 41.3 MB
  • 9. ELT Data Pipelines using Databricks on GCP/6. Create and Run Orchestrated Pipeline using Databricks Job.mp4 41.0 MB
  • 4. Setting up Data Lake using Google Cloud Storage/10. Cleanup Buckets in GCS using gsutil.mp4 40.9 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/26. Overview of Dataproc Operations and Deleting Workflow Runs.mp4 40.6 MB
  • 4. Setting up Data Lake using Google Cloud Storage/26. Convert Data to Parquet and Write to GCS using Pandas.mp4 39.1 MB
  • 8. Big Data Processing using Databricks on GCP/5. Overview of Databricks on GCP.mp4 38.6 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/25. Instantiate Dataproc Workflow Template to run the Data Pipeline.mp4 38.5 MB
  • 8. Big Data Processing using Databricks on GCP/14. Create Temporary Views using Spark SQL.mp4 38.2 MB
  • 8. Big Data Processing using Databricks on GCP/23. Convert CSV to Parquet with Schema using Pyspark.mp4 37.7 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/11. Install Google Cloud SDK on Windows.mp4 37.1 MB
  • 8. Big Data Processing using Databricks on GCP/16. Spark SQL Query to compute Daily Product Revenue.mp4 37.1 MB
  • 4. Setting up Data Lake using Google Cloud Storage/18. Get GCS Bucket Details using Python.mp4 36.7 MB
  • 4. Setting up Data Lake using Google Cloud Storage/24. Validate Files or Blobs in GCS using Python.mp4 36.4 MB
  • 5. Setup Postgres Database using Cloud SQL/9. Overview of Integration of GCP Cloud SQL Postgres with Pandas.mp4 34.7 MB
  • 6. Big Data Processing using Google Dataproc/3. Validate SSH Connectivity to Master Node of Dataproc Cluster.mp4 34.5 MB
  • 4. Setting up Data Lake using Google Cloud Storage/23. Upload all Files to GCS as blobs using Python.mp4 34.3 MB
  • 8. Big Data Processing using Databricks on GCP/13. Getting Started with Spark SQL Example using Databricks.mp4 34.3 MB
  • 5. Setup Postgres Database using Cloud SQL/18. Connect to Database using Credentials from Secret Manager.mp4 34.1 MB
  • 9. ELT Data Pipelines using Databricks on GCP/4. Create and Run First Databricks Job.mp4 33.9 MB
  • 6. Big Data Processing using Google Dataproc/2. Setup Single Node Dataproc Cluster for Development.mp4 33.7 MB
  • 5. Setup Postgres Database using Cloud SQL/13. Validate Data in Postgres Database Tables using Pandas.mp4 33.3 MB
  • 4. Setting up Data Lake using Google Cloud Storage/14. Setup Bucket and Files in GCS using gsutil.mp4 33.2 MB
  • 6. Big Data Processing using Google Dataproc/12. Validate Pyspark CLI in Dataproc Cluster.mp4 32.3 MB
  • 5. Setup Postgres Database using Cloud SQL/11. Process Data using Pandas Dataframe APIs.mp4 32.3 MB
  • 6. Big Data Processing using Google Dataproc/4. Allocate Static IP to the Master Node VM of Dataproc Cluster.mp4 32.1 MB
  • 9. ELT Data Pipelines using Databricks on GCP/9. Review File Format Converter Pyspark Code.mp4 31.6 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/4. Run Dataproc Job using Spark SQL.mp4 31.3 MB
  • 4. Setting up Data Lake using Google Cloud Storage/29. Overview of Parquet File Format and Schemas JSON File.mp4 30.7 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/6. Review Spark SQL Scripts for Dataproc Jobs and Workflows.mp4 30.7 MB
  • 9. ELT Data Pipelines using Databricks on GCP/5. Run Databricks Jobs and Tasks with Parameters.mp4 30.5 MB
  • 4. Setting up Data Lake using Google Cloud Storage/9. Copy Data Sets into GCS using gsutil.mp4 30.3 MB
  • 9. ELT Data Pipelines using Databricks on GCP/13. Run and Review Execution details of ELT Data Pipeline using Databricks Job.mp4 30.1 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/5. Overview of Modularizing Spark SQL Applications for Dataproc.mp4 29.8 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/10. Develop Spark SQL Script to Cleanup Databases.mp4 29.7 MB
  • 4. Setting up Data Lake using Google Cloud Storage/8. Managing Buckets in GCS using gsutil.mp4 29.6 MB
  • 4. Setting up Data Lake using Google Cloud Storage/2. Overview of Google Cloud Storage or GCS Web UI.mp4 29.0 MB
  • 4. Setting up Data Lake using Google Cloud Storage/13. Setup Google Cloud Libraries in Python Virtual Environment.mp4 28.9 MB
  • 8. Big Data Processing using Databricks on GCP/9. Create Folder in GCS using DBFS Commands.mp4 28.8 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/14. Manage Dataproc Clusters using gcloud Commands.mp4 28.6 MB
  • 4. Setting up Data Lake using Google Cloud Storage/15. Getting Started to manage files in GCS using Python.mp4 28.6 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/18. Delete Dataproc Jobs using gcloud commands.mp4 27.9 MB
  • 5. Setup Postgres Database using Cloud SQL/6. Setup Tables in GCP Cloud SQL Postgres Database.mp4 27.8 MB
  • 8. Big Data Processing using Databricks on GCP/17. Save Query Result to DBFS using Spark SQL.mp4 27.8 MB
  • 6. Big Data Processing using Google Dataproc/13. Validate Spark Scala CLI in Dataproc Cluster.mp4 27.7 MB
  • 4. Setting up Data Lake using Google Cloud Storage/4. Review GCS Buckets and Objects using gsutil commands.mp4 27.5 MB
  • 6. Big Data Processing using Google Dataproc/8. Recap of gsutil to manage files and folders in GCS.mp4 27.5 MB
  • 5. Setup Postgres Database using Cloud SQL/3. Configure Network for Cloud SQL Postgres Database.mp4 27.4 MB
  • 5. Setup Postgres Database using Cloud SQL/15. Configure Access to GCP Secret Manager via IAM Roles.mp4 27.3 MB
  • 8. Big Data Processing using Databricks on GCP/12. Process Data in DBFS using Databricks Spark SQL.mp4 27.0 MB
  • 6. Big Data Processing using Google Dataproc/7. Getting Started with HDFS Commands on Dataproc.mp4 27.0 MB
  • 6. Big Data Processing using Google Dataproc/14. Validate Spark SQL CLI in Dataproc Cluster.mp4 26.9 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/12. Initialize gcloud CLI using GCP Project.mp4 26.8 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/13. Limitations of Running Spark SQL Scripts using Dataproc Jobs.mp4 26.3 MB
  • 8. Big Data Processing using Databricks on GCP/6. Overview of Databricks CLI Commands.mp4 26.2 MB
  • 6. Big Data Processing using Google Dataproc/5. Setup VS Code Remote Window for Dataproc VM.mp4 26.0 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/8. Overview of GCP Credits.mp4 25.5 MB
  • 5. Setup Postgres Database using Cloud SQL/5. Setup Database in GCP Cloud SQL Postgres Database Server.mp4 25.2 MB
  • 4. Setting up Data Lake using Google Cloud Storage/7. Overview of Data Sets.mp4 24.6 MB
  • 8. Big Data Processing using Databricks on GCP/21. Transform Data using Spark APIs.mp4 23.8 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/4. Overview of Google Cloud Platform or GCP.mp4 23.0 MB
  • 1. Introduction to Data Engineering using GCP Data Analytics/1. Introduction to Data Engineering using GCP Data Analytics.mp4 22.9 MB
  • 6. Big Data Processing using Google Dataproc/1. Getting Started with GCP Dataproc.mp4 22.5 MB
  • 8. Big Data Processing using Databricks on GCP/10. Upload Data Set into DBFS using GCS Web UI.mp4 22.2 MB
  • 8. Big Data Processing using Databricks on GCP/22. Get Schema Details for all Data Sets using Pyspark.mp4 22.2 MB
  • 4. Setting up Data Lake using Google Cloud Storage/21. Design to Upload multiple files into GCS using Python.mp4 21.8 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/8. Exercise to convert file format using Spark SQL Script.mp4 21.7 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/13. Reinitialize Google Cloud Shell with Project id.mp4 21.6 MB
  • 4. Setting up Data Lake using Google Cloud Storage/28. Get File Names to upload into GCS using Python glob and os.mp4 21.5 MB
  • 8. Big Data Processing using Databricks on GCP/7. Limitations of Managing DBFS using Databricks CLI.mp4 20.6 MB
  • 8. Big Data Processing using Databricks on GCP/2. Create Databricks Workspace on GCP.mp4 20.5 MB
  • 8. Big Data Processing using Databricks on GCP/1. Signing up for Databricks on GCP.mp4 20.2 MB
  • 9. ELT Data Pipelines using Databricks on GCP/10. Review Databricks SQL Notebooks for Tables and Final Results.mp4 20.0 MB
  • 5. Setup Postgres Database using Cloud SQL/2. Setup Postgres Database Server using GCP Cloud SQL.mp4 19.8 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/1. Overview of GCP Dataproc Jobs and Workflow.mp4 19.5 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/2. Setup JSON Dataset in GCS for Dataproc Jobs.mp4 19.2 MB
  • 9. ELT Data Pipelines using Databricks on GCP/1. Overview of Databricks Workflows.mp4 19.1 MB
  • 4. Setting up Data Lake using Google Cloud Storage/1. Getting Started with Google Cloud Storage or GCS.mp4 18.8 MB
  • 4. Setting up Data Lake using Google Cloud Storage/27. Design to Upload multiple files into GCS using Pandas.mp4 18.5 MB
  • 2. Setup Environment for Data Engineering using GCP Data Analytics/1. Review Data Engineering on GCP Folder.mp4 18.4 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/10. Overview of Google Cloud Shell.mp4 18.4 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/17. Exercises to Run Spark SQL Scripts as Dataproc Jobs using gcloud.mp4 18.1 MB
  • 6. Big Data Processing using Google Dataproc/9. Review Data Sets setup on Dataproc Master Node VM.mp4 17.8 MB
  • 5. Setup Postgres Database using Cloud SQL/14. Getting Started with Secrets using GCP Secret Manager.mp4 17.7 MB
  • 5. Setup Postgres Database using Cloud SQL/19. Stop GCP Cloud SQL Postgres Database Server.mp4 17.6 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/3. Overview of Cloud Platforms.mp4 17.5 MB
  • 8. Big Data Processing using Databricks on GCP/8. Overview of Copying Data Sets into DBFS on GCS.mp4 17.4 MB
  • 4. Setting up Data Lake using Google Cloud Storage/16. Setup Credentials for Python and GCS Integration.mp4 17.3 MB
  • 2. Setup Environment for Data Engineering using GCP Data Analytics/2. Setup VS Code Workspace for Data Engineering on GCP.mp4 17.3 MB
  • 5. Setup Postgres Database using Cloud SQL/1. Overview of GCP Cloud SQL.mp4 17.0 MB
  • 4. Setting up Data Lake using Google Cloud Storage/17. Review Methods in Google Cloud Storage Python library.mp4 16.9 MB
  • 9. ELT Data Pipelines using Databricks on GCP/8. Spark SQL Application to Cleanup Database and Datasets.mp4 16.9 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/7. Sign up for GCP using Google Account.mp4 16.7 MB
  • 4. Setting up Data Lake using Google Cloud Storage/6. Setup Data Repository in Google Cloud Shell.mp4 16.5 MB
  • 8. Big Data Processing using Databricks on GCP/11. Copy Data Set into DBFS using gsutil.mp4 16.2 MB
  • 4. Setting up Data Lake using Google Cloud Storage/22. Get File Names to upload into GCS using Python glob and os.mp4 16.0 MB
  • 2. Setup Environment for Data Engineering using GCP Data Analytics/3. Setup and Integrate Python 3.9 venv with VS Code Workspace.mp4 15.7 MB
  • 6. Big Data Processing using Google Dataproc/6. Setup Workspace using VS Code on Dataproc.mp4 15.7 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/14. Overview of Analytics Services on GCP.mp4 15.6 MB
  • 5. Setup Postgres Database using Cloud SQL/7. Validate Data in GCP Cloud SQL Postgres Database Tables.mp4 15.5 MB
  • 9. ELT Data Pipelines using Databricks on GCP/7. Import ELT Data Pipeline Applications into Databricks Environment.mp4 15.3 MB
  • 9. ELT Data Pipelines using Databricks on GCP/2. Pass Arguments to Databricks Python Notebooks.mp4 14.5 MB
  • 9. ELT Data Pipelines using Databricks on GCP/3. Pass Arguments to Databricks SQL Notebooks.mp4 14.5 MB
  • 8. Big Data Processing using Databricks on GCP/3. Getting Started with Databricks Clusters on GCP.mp4 14.4 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/19. Importance of using gcloud commands to manage dataproc jobs.mp4 14.3 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/9. Overview of GCP Project and Billing.mp4 13.4 MB
  • 8. Big Data Processing using Databricks on GCP/4. Getting Started with Databricks Notebook.mp4 13.2 MB
  • 4. Setting up Data Lake using Google Cloud Storage/3. Upload Folders and Files using into GCS Bucket using GCP Web UI.mp4 13.0 MB
  • 4. Setting up Data Lake using Google Cloud Storage/20. Project Problem Statement to Manage Files in GCS using Python.mp4 13.0 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/5. Overview of Signing for GCP Account.mp4 12.7 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/2. Pre-requisite Skills to Sign up for course on GCP Data Analytics.mp4 12.7 MB
  • 5. Setup Postgres Database using Cloud SQL/4. Validate Client Tools for Postgres on Mac or PC.mp4 12.0 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/11. Copy Spark SQL Scripts to GCS.mp4 11.5 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/6. Create New Google Account using Non Gmail Id.mp4 11.4 MB
  • 1. Introduction to Data Engineering using GCP Data Analytics/3. Highlights of the Data Engineering using GCP Data Analytics Course.mp4 10.9 MB
  • 5. Setup Postgres Database using Cloud SQL/16. Install Google Cloud Secret Manager Python Library.mp4 10.5 MB
  • 7. ELT Data Pipelines using Dataproc on GCP/28. Stop Dataproc Cluster.mp4 9.6 MB
  • 1. Introduction to Data Engineering using GCP Data Analytics/5. Refund Policy and Request for Rating and Feedback.mp4 9.6 MB
  • 8. Big Data Processing using Databricks on GCP/15. Exercise to create temporary views using Spark SQL.mp4 9.6 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/1. Introduction to Getting Started with GCP.mp4 8.6 MB
  • 3. Getting Started with GCP for Data Engineering using GCP Data Analytics/15. Conclusion to Get Started with GCP for Data Engineering.mp4 8.2 MB
  • 4. Setting up Data Lake using Google Cloud Storage/12. Overview of Setting up Data Lake using GCS.mp4 8.0 MB
  • 1. Introduction to Data Engineering using GCP Data Analytics/2. Pre-requisites for Data Engineering using GCP Data Analytics.mp4 6.4 MB
  • 8. Big Data Processing using Databricks on GCP/18. Overview of Pyspark Examples on Databricks.cmproj.mp4 6.1 MB
  • 4. Setting up Data Lake using Google Cloud Storage/11. Exercise to Manage Buckets and Files in GCS using gsutil.mp4 5.3 MB
  • 4. Setting up Data Lake using Google Cloud Storage/5. Delete GCS Bucket using Web UI.mp4 5.1 MB
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本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！