[FreeCourseWeb] Building Pipelines for Workflow Orchestration Using Google Composer

seeders: 4
leechers: 3
updated:

Download Fast Safe Anonymous
movies, software, shows...
  • Downloads: 54
  • Language: English

Files

[FreeCourseWeb] Building Pipelines for Workflow Orchestration Using Google Composer google-cloud-platform-composer-building-pipelines-workflow-orchestration-files 02
  • introducing-google-composer-slides.pdf (425.4 KB)
03
  • creating-configuring-and-accessing-environments-slides.pdf (186.6 KB)
04
  • managing-and-monitoring-workflows-slides.pdf (203.0 KB)
pictures
  • pexels-photo-210881.jpeg (95.5 KB)
  • pexels-photo-249597.jpeg (87.4 KB)
  • pexels-photo-45055.jpeg (154.4 KB)
  • pexels-photo-63448.jpeg (276.9 KB)
  • all_done_python_bash.py (1.4 KB)
  • all_success_python_bash.py (1.3 KB)
  • branching_python_operator.py (1.6 KB)
  • commands.txt (4.1 KB)
  • doc.txt (162.8 KB)
  • gcs_gcs.py (0.8 KB)
  • hadoop_wordcount.py (1.9 KB)
  • most_common_element_scipy.py (0.9 KB)
  • one_failed_python_bash.py (1.3 KB)
  • python_bash_dummy.py (1.2 KB)
  • python_bash.py (1.1 KB)
  • requirements.txt (0.0 KB)
  • sale_product_notification.py (2.5 KB)
    • 01 - Course Overview.mp4 (4.5 MB)
    • 02 - Module Overview.mp4 (2.4 MB)
    • 03 - Prerequisites and Course Outline.mp4 (3.0 MB)
    • 04 - Composer for Pipeline Orchestration.mp4 (6.4 MB)
    • 05 - Building Blocks of Airflow.mp4 (5.6 MB)
    • 06 - Apache Airflow.mp4 (5.5 MB)
    • 07 - Google Composer and Apache Airflow.mp4 (5.0 MB)
    • 08 - Enable APIs and Create Composer Environment.mp4 (9.4 MB)
    • 09 - Examine a Composer Environment.mp4 (8.8 MB)
    • 10 - Pricing.mp4 (4.5 MB)
    • 11 - Module Overview.mp4 (1.9 MB)
    • 12 - Write an Apache Airflow DAG.mp4 (11.5 MB)
    • 13 - Run a DAG on Cloud Composer.mp4 (11.1 MB)
    • 14 - Explore Composer Web Server.mp4 (10.3 MB)
    • 15 - Use the All_success Trigger Rule.mp4 (14.8 MB)
    • 16 - Use the One_failed Trigger Rule.mp4 (7.7 MB)
    • 17 - Use the All_done Trigger Rule.mp4 (7.5 MB)
    • 18 - Specify Python Dependencies.mp4 (11.1 MB)
    • 19 - Create a Dummy Operator.mp4 (7.3 MB)
    • 20 - The BranchPythonOperator.mp4 (15.4 MB)
    • 21 - Summary .mp4 (1.5 MB)
    • 22 - Module Overview.mp4 (1.3 MB)
    • 23 - Use Airflow Variables to Copy Files from One GCS Bucket to Another.mp4 (15.3 MB)
    • 24 - Delete DAGs and Composer Environment.mp4 (6.7 MB)
    • 25 - Use the Send Grid Email Integration in Airflow.mp4 (11.3 MB)
    • 26 - Complex Pipeline Integrating BigQuery, Cloud Storage, and Send Grid.mp4 (12.7 MB)
    • 27 - Writing DAG to Work with Big Query, GCS, and Send Grid.mp4 (11.3 MB)
    • 28 - Use Cloud Dataproc Operators in Composer.mp4 (15.3 MB)
    • 29 - Summary.mp4 (2.4 MB)
    • Torrent downloaded from 1337x.to.txt (0.0 KB)
    • Torrent Downloaded From limetorrents.info.txt (0.1 KB)

Description

[FreeCourseWeb] Building Pipelines for Workflow Orchestration Using Google Composer



MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 232 MB
Genre: eLearning | Language: English
Cloud Composer is a fully managed workflow orchestration service that allows creation, scheduling, and monitoring of pipelines. This course covers the architecture of Composer and creation of pipelines to run arbitrary shell scripts and Python code.

Cloud Composer is a pipeline orchestration service on the GCP. Based on the Apache Airflow API, Composer was launched in May 2018 and is fast-emerging as a popular and versatile service for building and executing system pipelines. In this course, , you'll learn how Composer allows cloud users to quickly create pipelines with complex interconnected tasks. First, you'll discover where Composer fits in the taxonomy of GCP services and how it compares to Dataflow, which is another service for building and executing pipelines on the GCP. Next, you'll explore what a Composer environment is and how pipelines are specified, and run on these environments. Then, you'll develop an understanding of the powerful suite of operators made available for use within Composer pipelines by utilizing Airflow operators for executing shell scripts, executing arbitrary Python code, and implementing complex control flow. Finally, you'll learn how to use Airflow’s GCP-specific operators for sending email, working with BigQuery, and instantiating Dataproc clusters. When you're finished with this course, you'll have the skills and knowledge necessary to build and deploy complex pipelines built on the Apache Airflow API by utilizing Composer.


!! PLEASE SEED !! PLEASE SEED !! PLEASE SEED !!

THAT IS WHAT I ONLY NEED FROM YOU to KEEP THIS TORRENT LIVE. THANK YOU!!!



Download torrent
233 MB
seeders:4
leechers:3
[FreeCourseWeb] Building Pipelines for Workflow Orchestration Using Google Composer


Trackers

tracker name
http://0d.kebhana.mx:443/announce
udp://tw.opentracker.ga:36920/announce
udp://temp1.opentracker.gq:6969/announce
udp://tracker.torrent.eu.org:451/announce
http://torrent.nwps.ws:80/announce
udp://explodie.org:6969/announce
https://opentracker.xyz:443/announce
https://t.quic.ws:443/announce
https://tracker.fastdownload.xyz:443/announce
udp://tracker.opentrackr.org:1337/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://tracker.coppersurfer.tk:6969/announce
udp://tracker.justseed.it:1337/announce
udp://open.demonii.si:1337/announce
http://nyaa.tracker.wf:7777/announce
µTorrent compatible trackers list

Download torrent
233 MB
seeders:4
leechers:3
[FreeCourseWeb] Building Pipelines for Workflow Orchestration Using Google Composer


Torrent hash: 80875F8AC5FA5C300298CFC6BE6D10C980021654