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Udemy - Apache Airflow Using Google Cloud Composer - Introduction

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Udemy - Apache Airflow Using Google Cloud Composer - Introduction (Size: 2.8 GB)
  1 - Course Overview Topics of coverage English.vtt 8.3 KB
  1 - Course Overview Topics of coverage.mp4 177.4 MB
  1 - Quiz time 1.html 0 B
  10 - Navigation Cloud composerApache airflow Web UI navigation English.vtt 10 KB
  10 - Navigation Cloud composerApache airflow Web UI navigation.mp4 91.6 MB
  11 - Understanding Apache Airflow program structure English.vtt 3.3 KB
  11 - Understanding Apache Airflow program structure.mp4 50.1 MB
  11 - Understanding-Airflow-DAG-version1.0.pdf 592.4 KB
  12 - Activity 1 Create and submit Apache airflow DAG program English.vtt 11.3 KB
  12 - Activity 1 Create and submit Apache airflow DAG program.mp4 173.7 MB
  12 - simpletwotasks.py 1.9 KB
  13 - Activity 2 Using Templating functionality in Apache Airflow program English.vtt 5 KB
  13 - Activity 2 Using Templating functionality in Apache Airflow program.mp4 70.4 MB
  14 - Activity 2 Using Templating functionality in Apache Airflow program Part 2 English.vtt 3.2 KB
  14 - Activity 2 Using Templating functionality in Apache Airflow program Part 2.mp4 45.6 MB
  14 - simplethree.py 1.2 KB
  15 - Apache-Airflow-DAG-Variables-ver1.0.pdf 741.2 KB
  15 - What is variable in Apache Airflow and when to use them English.vtt 3.5 KB
  15 - What is variable in Apache Airflow and when to use them.mp4 72 MB
  16 - Activity 3 Variables usage in DAG python program English.vtt 6.2 KB
  16 - Activity 3 Variables usage in DAG python program.mp4 83.5 MB
  16 - multi-variable-options.py 1.1 KB
  17 - Activity 4 Calling Bash script in different folder different machine Part1 English.vtt 4.1 KB
  17 - Activity 4 Calling Bash script in different folder different machine Part1.mp4 74.3 MB
  18 - Activity 4 Calling Bash script in different folder different machine Part 2 English.vtt 4.5 KB
  18 - Activity 4 Calling Bash script in different folder different machine Part 2.mp4 62.4 MB
  18 - bashtest2scripts-V1.py 921.6 B
  18 - test.py 0 B
  19 - Apacher-Airflow-Connections-ver-1.0.pdf 502.6 KB
  19 - Why connections are required in Apache Airflow English.vtt 3.8 KB
  19 - Why connections are required in Apache Airflow.mp4 82.5 MB
  2 - Apache-airflow-Use-Cases-ver1.0.pdf 537.8 KB
  2 - Data pipe lines & Uses cases for Apache Airflow English.vtt 8.5 KB
  2 - Data pipe lines & Uses cases for Apache Airflow.mp4 116.8 MB
  2 - Quiz time 2.html 0 B
  20 - Navigation and creating connection steps in Apache Airflow English.vtt 3.1 KB
  20 - Navigation and creating connection steps in Apache Airflow.mp4 23.7 MB
  21 - Activity 5 Creating and testing connection in Apache Airflow Part 1 English.vtt 7.5 KB
  21 - Activity 5 Creating and testing connection in Apache Airflow Part 1.mp4 91.2 MB
  21 - connection-demo.py 1.6 KB
  22 - Activity 5 Creating and testing connection in Apache Airflow Part 2 English.vtt 5.9 KB
  22 - Activity 5 Creating and testing connection in Apache Airflow Part 2.mp4 90.8 MB
  23 - What is Google Cloud BigQuery English.vtt 2.5 KB
  23 - What is Google Cloud BigQuery.mp4 55.4 MB
  24 - Creation of custom Bigquery table English.vtt 3.1 KB
  24 - Creation of custom Bigquery table.mp4 40.8 MB
  25 - BigQuery data upload from Excel sheet CSV file English.vtt 4.7 KB
  25 - BigQuery data upload from Excel sheet CSV file.mp4 62.2 MB
  26 - Activity 6 Apache Airflow DAG Data pipeline for BigQuery English.vtt 7.7 KB
  26 - Activity 6 Apache Airflow DAG Data pipeline for BigQuery.mp4 112.3 MB
  26 - demo-bq-dag.py 1.3 KB
  27 - What is xcom English.vtt 3.4 KB
  27 - What is xcom.mp4 76.6 MB
  28 - Activity 7 xcom demonstration pipeline English.vtt 5.8 KB
  28 - Activity 7 xcom demonstration pipeline.mp4 71.7 MB
  28 - example-xcom.py 1.4 KB
  29 - Apache-Airflow-Branching-ver1.0.pdf 505.1 KB
  29 - Overview about Branching Functionality English.vtt 4.7 KB
  29 - Overview about Branching Functionality.mp4 101.3 MB
  3 - Quiz time 3.html 0 B
  3 - What is Task and why Orchestration needed English.vtt 3.1 KB
  3 - What is Task and why Orchestration needed.mp4 36.6 MB
  30 - Activity 8 Tasks Branching demonstration English.vtt 4.4 KB
  30 - Activity 8 Tasks Branching demonstration.mp4 61.9 MB
  30 - branching-day-program.py 1.7 KB
  31 - Apacher-Airflow-Subdags-ver1.0.pdf 495.8 KB
  31 - What is a Subdag English.vtt 2.6 KB
  31 - What is a Subdag.mp4 61.1 MB
  32 - Activity 9 SubDAGs demonstration English.vtt 4.7 KB
  32 - Activity 9 SubDAGs demonstration.mp4 54.1 MB
  32 - Example-subdags-ops.py 1.1 KB
  33 - Service Level Agreement with Airflow English.vtt 2.2 KB
  33 - Service Level Agreement with Airflow.mp4 44.1 MB
  34 - Airflow now support Kubernetes English.vtt 4.8 KB
  34 - Airflow now support Kubernetes.mp4 101.8 MB
  35 - Sensors English.vtt 3.5 KB
  35 - Sensors.mp4 74 MB
  36 - Apache Airflow Vs Apache Beam and Spark Quick comparison English.vtt 4.4 KB
  36 - Apache Airflow Vs Apache Beam and Spark Quick comparison.mp4 94.4 MB
  37 - Concluding remarks English.vtt 2.8 KB
  37 - Concluding remarks.mp4 62 MB
  37 - Data Modelling and Relational Database Design.txt 102.4 B
  37 - Internet of things IOT Demystified.txt 102.4 B
  37 - Linux unix essentials and introduction to Shell scripting.txt 102.4 B
  37 - Managing Enterprise Resource planning ERP Implementation.txt 102.4 B
  37 - Managing Projects using Oracle Primavera P6 Professional.txt 102.4 B
  37 - Software Project Management using MS Project.txt 102.4 B
  4 - Apache-Airflow-google-cloud-composer-Introduction-ver-1.0.pdf 532.6 KB
  4 - Quiz 4.html 0 B
  4 - What is Apache Airflow & environment options English.vtt 11.7 KB
  4 - What is Apache Airflow & environment options.mp4 166.6 MB
  5 - Apache-Airflow-Directed-Acyclic-Graph-ver1.0.pdf 328.2 KB
  5 - What is Airflow Directed Acyclic Graph English.vtt 5.9 KB
  5 - What is Airflow Directed Acyclic Graph.mp4 75.2 MB
  6 - Apache Airflow architecture English.vtt 7.2 KB
  6 - Apache Airflow architecture.mp4 81.9 MB
  6 - Apache-Airflow-Architecture-ver1.0.pdf 625.3 KB
  7 - Apache Airflow Single Node vs Multinode English.vtt 3.7 KB
  7 - Apache Airflow Single Node vs Multinode.mp4 78.7 MB
  8 - Provisioning Google Composer Apache Airflow environment Part 1 English.vtt 3.9 KB
  8 - Provisioning Google Composer Apache Airflow environment Part 1.mp4 27.1 MB
  9 - Provisoning Google Composer Apache Airflow environment Part 2 English.vtt 5.4 KB
  9 - Provisoning Google Composer Apache Airflow environment Part 2.mp4 43.9 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 105 total files

Description


Apache Airflow Using Google Cloud Composer: Introduction
https://DevCourseWeb.com

Last updated 5/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.83 GB | Duration: 3h 51m

With Google Cloud composer learn Apache Airflow without making any local install. Ensures focus is on Airflow topics.

What you'll learn
Understand automation of Task workflows through Airflow
Airflow Architecture - On Premise (local install), Cloud, single node, multiple node
How to use connection functionality to connect to different systems to automate data pipelines
What is Google cloud Big query and briefly how it can be used in Dataware housing as well as in Airflow DAG
Master core functionalities such as DAGs, Operators, Tasks through hands on nstrations
Understand advanced functionalities like XCOM, Branching, Subdags through hands on nstrations
Get an overview understanding on SLAs, Kubernetes executor functionality in Apache Airflow
The source files of Python DAG programs (9 .py files) used in nstration are available for download towards practice for students
Requirements
Google Cloud Platform Account OR even Free Trial account - NO Install required
Good understanding on Python code and some exposure to bash shell scripting will help.
Description
Apache Airflow is an open-source platform to programmatically author, schedule and monitor workflows.Cloud Composer is a fully managed workflow orchestration service that empowers you to author, schedule, and monitor pipelines that span across clouds and on-premises data centers. Built on the popular Apache Airflow open source project and operated using the Python programming language, Cloud Composer is free from lock-in and easy to use. With Apache Airflow hosted on cloud ('Google' Cloud composer) and hence,this will assist learner to focus on Apache Airflow product functionality and thereby learn quickly, without any hassles of having Apache Airflow installed locally on a machine.Cloud Composer pipelines are configured as directed acyclic graphs (DAGs) using Python, making it easy for users of any experience level to author and schedule a workflow. One-click deployment yields instant access to a rich library of connectors and multiple graphical representations of your workflow in action, increasing pipeline reliability by making troubleshooting easy.This course is designed with beginner in mind, that is first time users of cloud composer / Apache airflow. The course is structured in such a way that it has presentation to discuss the concepts initially and then provides with hands on nstration to make the understanding better.The python DAG programs used in nstration source file (9 Python files) are available for download toward further practice by students. Happy learning!!!

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