Udemy - Kubernetes for Data Engineering - Hands on End to End Gui...

Kubernetes for Data Engineering: Hands on End to End Guide

https://WebToolTip.com

Last updated 4/2024
Created by Ganiyu Yusuf
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English + subtitle | Duration: 29 Lectures ( 2h 18m ) | Size: 1.92 GB

Boost the efficiency of your Data Engineering Solutions by Deploying them on Kubernetes Cluster.

What you'll learn
Understand the core concepts of Kubernetes, including pods, services, deployments, and more. Learn how to set up and manage a Kubernetes cluster
Gain practical experience in deploying and managing the Kubernetes Dashboard, a powerful tool for managing Kubernetes clusters through a user-friendly interface
Learn how to deploy Apache Airflow in a Kubernetes environment. Understand how to schedule and monitor data pipelines efficiently using Airflow.
Dive into the world of Directed Acyclic Graphs (DAGs) and learn how to create, schedule, and monitor them in an Airflow environment running on Kubernetes.
Understand how to secure your Kubernetes cluster and monitor its performance. Learn about Kubernetes namespaces, RBAC, secrets, and network policies.
Learn how to scale your data applications and ensure high availability within your Kubernetes cluster.
Develop skills to troubleshoot common issues in Kubernetes and optimize the performance of your data pipelines.

Requirements
Basic Programming Experience