Building Low-Code Batch Data Pipelines on the Cloud with Azure Data Factory

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About Course

Welcome!

Hello everyone! Welcome to this course on Building Low-Code Batch Data Pipelines on the Cloud with Azure Data Factory.

Being able to make decisions using the vast amounts of data nowadays is a must for anyone who wants to create value, like business, organizations or even individual creators. Hence, being able to work with that data is a must.

In this course, we will talk about how to use Azure Data Factory to create data pipelines so we can analyze and make use of our data, without any coding.

This course was designed for people who have prior development experience and want to learn how to build data pipelines on the cloud the easy way.

If that sounds like you, then I’d be happy to have you join us in this course on Building Low-Code Batch Data Pipelines on the Cloud with Azure Data Factory here at Appkademiya.

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What Will You Learn?

  • Building Low-Code Data Pipelines on the Cloud
  • Extracting Data From Files
  • Extracting Data From Databases
  • Extracting From Multiple Sources
  • Exporting To Multiple Destinations
  • Integrating With On-Premises Data Stores
  • Integrating with Other Data Services
  • Managing Data Pipelines

Course Content

Introduction

  • Introduction to Data Engineering
    04:16
  • Data Pipelines
    18:00
  • What is Azure Data Factory?
    01:17
  • Why Azure Data Factory?
    05:21

Azure Data Factory Concepts

Setting Up Azure Data Factory

Building your First Data Pipeline

Building Pipelines from Database to Database

Moving From Multiple Sources and Sinks

Using Power Query For Processing (Coming Soon)

Building Pipelines from On-Premises to the Cloud

Integrating with Azure ML

Managing Azure Data Factory

Summary

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