Data Engineering 101 with Kestra

Data Engineering 101 with Kestra, available at Free, has an average rating of 5, with 26 lectures, based on 4 reviews, and has 304 subscribers.

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You will learn about Get to know the Data Engineering 101 in a compact but informative way Learn a cutting-edge data orchestration tool for Big Data: Kestra Hands-on Practicals helping you understand Kestra clearly Understand the best practices for using Kestra efficiently This course is ideal for individuals who are Those interested to learn about Data Engineering or Those who want to learn Kestra from SCRATCH to its Live Project Implementation or Those who want to learn about the modern tool in Data Orchestration and their capabilities It is particularly useful for Those interested to learn about Data Engineering or Those who want to learn Kestra from SCRATCH to its Live Project Implementation or Those who want to learn about the modern tool in Data Orchestration and their capabilities.

Enroll now: Data Engineering 101 with Kestra

Summary

Title: Data Engineering 101 with Kestra

Price: Free

Average Rating: 5

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Get to know the Data Engineering 101 in a compact but informative way

Learn a cutting-edge data orchestration tool for Big Data: Kestra

Hands-on Practicals helping you understand Kestra clearly

Understand the best practices for using Kestra efficiently

Who Should Attend

Those interested to learn about Data Engineering

Those who want to learn Kestra from SCRATCH to its Live Project Implementation

Those who want to learn about the modern tool in Data Orchestration and their capabilities

Target Audiences

Those interested to learn about Data Engineering

Those who want to learn Kestra from SCRATCH to its Live Project Implementation

Those who want to learn about the modern tool in Data Orchestration and their capabilities

Unlock the full potential of data engineering with our comprehensive course on Kestra, a powerful open-source data orchestration platform that’s streamlines complex workflows across a wide range of industries and domains.

This course starts by building a solid foundation in the basics of data engineering, ensuring you have the essential knowledge needed to delve into more advanced topics. We then introduce Kestra, an advanced open-source tool designed to simplify and enhance the management of complex data workflows.

Throughout the course, you’ll explore Kestra’s user-friendly interface, which allows for intuitive navigation and seamless workflow creation. You’ll learn how to design and implement data workflows using Kestra’s visual flow editor, making complex data processes straightforward and manageable. We guide you through the process of writing detailed workflows, incorporating various components, and adding triggers to automate and optimize your data pipelines.

Kestra has quickly become a favored choice among industries due to its flexibility and scalability. Leading organizations across a wide range sectors have adopted Kestra to streamline their data operations, from ETL processes to real-time data integration, enhancing overall efficiency and responsiveness. By mastering Kestra, you’ll gain practical skills that are highly valued in the industry, preparing you to tackle real-world data engineering challenges.

This course not only teaches you how to effectively use Kestra but also offers insights into industry best practices and real-world applications. It’s an invaluable resource for anyone looking to advance their career in data engineering and workflow automation. Join us to deepen your expertise, stay ahead in the dynamic field of data engineering, and leverage Kestra to its fullest potential.

Course Curriculum

Chapter 1: Introduction to Data Engineering

Lecture 1: What is Data Engineering?

Lecture 2: Data Engineering Processes – Part 1

Lecture 3: Data Engineering Processes – Part 2

Lecture 4: Batch Processing v/s Stream Processing

Lecture 5: ETL v/s ELT

Lecture 6: Data Lake v/s Data Warehouse

Lecture 7: Change Data Capture

Chapter 2: Introduction to Kestra

Lecture 1: Kestra: Orchestration Platform for Engineers

Lecture 2: Kestra UI Overview

Lecture 3: Flows and Tasks

Lecture 4: Namespaces

Chapter 3: Kestra Architecture and Installation

Lecture 1: Kestra Architecture

Lecture 2: Installing Kestra using Docker Compose

Lecture 3: Other Kestra Installations

Chapter 4: ETL using Kestra

Lecture 1: Flow Architecture

Lecture 2: Installing Postgres and MongoDB

Lecture 3: Installing Kestra with Secrets

Lecture 4: Flow Creation – HTTP Download

Lecture 5: Flow Creation – Using Postgres Plugin

Lecture 6: Flow Creation – Query Postgres and Upload Data to MongoDB

Lecture 7: Outputs and Metrics

Lecture 8: Plugin Defaults

Chapter 5: Kestra Triggers

Lecture 1: Introduction to Triggers

Lecture 2: Triggers in Action

Chapter 6: Kestra Industry Adoption

Lecture 1: Kestra Plugins

Lecture 2: Kestra Adoption

Instructors

Shruti Mantri
Architect

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5 stars: 4 votes

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