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Master Apache Airflow from A to Z. Hands-on videos on Airflow with AWS, Kubernetes, Docker and more

Apache Airflow: The Hands-On Guide
NoCode
Data
Code & No Code 💻

Apache Airflow: The Hands-On Guide

par
Udemy
groupe
9.2/10 (450)
groupe
Communauté
chapeau de certification
Certification
icone de format
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Vidéos à la demande

Les avis

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Le contenu

Objectifs

  • Coding Production Grade Data pipelines by Mastering Airflow through Hands-on Examples,
  • How to Scale Airflow with the Local,
  • Celery and Kubernetes Wxecutors,
  • How to Secure Airflow with authentication, crypto and the RBAC UI,
  • Mastering DAGs with timezones, unit testing, backfill and catchup

Programme

  • Introduction
  • The basics of Apache Airflow
  • The Forex Data Pipeline
  • Mastering your DAGs
  • Distributing Apache Airflow
  • Improving your DAGs with advanced concepts
  • Deploying Airflow on AWS EKS with Kubernetes Executors and Rancher
  • Monitoring Apache Airflow
  • Security in Apache Airflow
  • Airflow 2.0
  • BONUS - APPENDIX

Avis

Max Tarasishin Pros: 1. A lot of valuable information 2. The information will stay relevant for a long time 3. Extremely thorough and practical 4. Can be easily applied IRL Cons: 1. Low code quality 2. There are some dubious and unsecure actions that I advise you against (like posting into the yopmail, copying keys for your GMail, etc)

Diptiranjan Dash Marc has done a good job in compiling all the information and advanced concepts, specially like the kubernetes setup for airflow.Definitely recommend the course to data architects and software engineers out there.

Nathan Zugsay Amazing course. Very thorough and clear on the describing the concepts. I recommend it to anyone interested in learning about airflow

Le format

Le formateur

emoji d'un héroApache Airflow: The Hands-On Guide
Marc Lamberti
Apache Airflow Expert, Big Data Engineer
Hi there, My name is Marc Lamberti, I'm 27 years old and I'm very happy to arouse your curiosity! I'm currently working as Big Data Engineer in full-time for the biggest online bank in France, dealing with more than 1 500 000 clients. For more than 3 years now, I created different ETLs in order to address the problems that a bank encounters everyday such as, a platform to monitor the information system in real time to detect anomalies and reduce the number of client's calls, a tool detecting in real time any suspicious transaction or potential fraudster, an ETL to valorize massive amount of data into Cassandra and so on. The biggest issue when you are a Big Data Engineer is to deal with the growing number of available open source tools. You have to know how to use them, when to use them and how they connect to each other in order to build robust, secure and performing systems solving your underlying business needs. I strongly believe that the best way to learn and understand a new skill is by taking a hands-on approach with just enough theory to explain the concepts and a big dose of practice to be ready in a production environment. That's why in each of my courses you will always find practical examples associated with theoric explanations. Have a great learning time!

L'organisme de formation

Apache Airflow: The Hands-On Guide

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