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Data Engineering Fundamentals with Prefect Workflow

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Data Engineering Fundamentals with Prefect Data pipeline using Oracle Cloud Infrastructure - VM and Autonomous DB


1 - Introduction
  • 1 - Course Coverage

  • 2 - Difference between Data Engineering Vs Data Analysis Vs Data Science
  • 2 - Difference between Data Engineering Vs Data Analysis Vs Data Science
  • 3 - An overview on Data science

  • 3 - Extract Transform Load vs Data pipeline
  • 4 - Extract Transform Load vs Data pipeline
  • 5 - Comparison between Apache Airflow and Prefect Data pipeline Orchestration

  • 4 - Provisioning Oracle Linux Virtual machine On Oracle Cloud Infrastructure
  • 6 - What is Virtualization
  • 7 - Steps involved in creation of Linux Virtual Machine on OCI
  • 8 - Creationing Public private public Key using Putty Gen
  • 9 - Provisioning Compartment and Virtual cloud Network VCN in OCI
  • 10 - Creating Linux 9 Virtual Machine on OCI
  • 11 - Connecting through putty to Virtual Machine
  • 12 - Executing scripts in VM for Linux GUI Part 1
  • 12 - LINUX-GUI-VNC-PUTTY-configs-Linux-9.txt
  • 13 - Executing scripts in VM for Linux GUI Part 2
  • 13 - LINUX-GUI-VNC-PUTTY-configs-Linux-9.txt

  • 5 - Prefect Cloud Datapipeline and Client VM
  • 14 - Overview Prefect Cloud Environment
  • 15 - Prefect Client installation on Linux 9 VM
  • 16 - Connecting to Prefect cloud Dashboad Data pipeline from Client VM
  • 17 - Executing the first Flow based datapipeline program using Prefect orchestration
  • 17 - hello-world.zip

  • 6 - Documentation reference Prefect Workflow Datapipelines
  • 18 - Documentation reference Prefect Workflow Datapipelines

  • 7 - Handson Demonstration of Perfect Flow with Tasks
  • 19 - Handson Demonstration of Prefect Flow with Task
  • 19 - testflow.zip

  • 8 - Building Prefect dataflow pipeline for Oracle Database extract using Python
  • 20 - What is Autonomous Cloud Database
  • 21 - Significance of Compartment creationdeletion of Compartment
  • 22 - Provisioning the Autonomous Database on OCI
  • 23 - Different Ways to Connect to Oracle Autonomous Database
  • 24 - Connecting through Cloud Web SQL Developer
  • 25 - Python Connect to Oracle Autonomous Database through python library Part 1
  • 26 - Python Connect to Oracle Autonomous Database through python library Part 2
  • 27 - OLTP Vs OLAP
  • 28.zip
  • 28 - Prefect datapipe with two task and building dependency between tasks

  • 9 - Introduction to Webhooks and Handson Demonstration with Prefect Github
  • 29 - Understanding the difference between Web Hooks MQTT Web Sockets
  • 30 - Handson Demonstration Web Hooks with Prefect Workflow and Githhub Part 1
  • 30 - Webhook-setup-JSON-template.txt
  • 31 - Automated Deployment of webhook for event based workflows Prefect Githhub
  • 31 - JSON-details-for-automate.txt
  • 31 - flow.zip

  • 10 - Career Path for Data Engineers
  • 32 - Career Path for Data Engineers

  • 11 - Concluding Remarks
  • 33 - Concluding Remarks
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    تاریخ انتشار: ۱۶ خرداد ۱۴۰۳
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