Price: 10.00 USD | Size: 7.04 GB  | Pack of 3 Course | Duration :  12+ Hours  |105 Video Lessons | ⭐️⭐️⭐️⭐️⭐️ 4.9
BRAND : Expert TRAINING | ENGLISH |  Bonus :  Apache Airflow PDF Guides | INSTANT DOWNLOAD 
 
HOW TO DOWNLOAD THIS COURSE?
You can Instant Download a PDF file After successful payment, This PDF File Contains Course Download links
You can Download This Course immediately from the click that Links
 
 
The Complete Hands-On Introduction to Apache Airflow Pack of 3 Courses & PDF Guides
 
 
Course-01 
The Complete Hands-On Introduction to Apache Airflow
Learn to author, schedule and monitor data pipelines through practical examples using Apache Airflow 
 
 
What you'll learn
 
Create plugins to add functionalities to Apache Airflow.
Using Docker with Airflow and different executors
Master core functionalities such as DAGs, Operators, Tasks, Workflows,
Understand and apply advanced concepts of Apache Airflow such as XCOMs, Branching 
The difference between Sequential, Local and Celery Executors, how do they work and how can you use them.
Use Apache Airflow in a Big Data ecosystem with Hive, PostgreSQL, Elasticsearch etc.
Install and configure Apache Airflow
Think, answer and implement solutions using Airflow to real data processing problems
 
Requirements
 
VirtualBox must be installed - A VM of 3Gb will have to be downloaded
At least 8 gigabytes of memory
Some prior programming or scripting experience. Python experience will help you a lot but since it's a very easy language to learn, it shouldn't be too difficult if you are not familiar with.
Description
Apache Airflow is an open-source  platform to programmatically author, schedule and monitor workflows. If you have many ETL(s) to manage, Airflow is a must-have.
In this course you are going to learn everything you need to start using Apache Airflow through theory and practical videos. Starting from very basic notions such as, what is Airflow and how it works, we will dive into advanced concepts such as, how to create plugins and make real dynamic pipelines.
 
Who this course is for:
 
People being curious about data engineering.
People who want to learn basic and advanced concepts about Apache Airflow.
People who like hands-on approach.
 
Course-02
 
Apache Airflow using Google Cloud Composer: Introduction
With Google Cloud composer learn Apache Airflow without making any local install. Ensures focus is on Airflow topics. 
 
Course-03
 
A.B.C.D Apache Airflow 2.x on AWS - EKS 
Any Body Can Deploy Airflow. Be it Local Development or Production Deployment on AWS - EKS. It's as simple as it can be.