YoVDO

From ETL to Data Engineering with Azure Data Factory

Offered By: PASS Data Community Summit via YouTube

Tags

PASS Data Community Summit Courses Databricks Courses Azure Data Factory Courses Data Engineering Courses Scalability Courses Data Pipelines Courses Parameterization Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Discover how to transform your ETL processes into modern data engineering pipelines using Azure Data Factory in this comprehensive conference talk. Learn about scalability, successful patterns, and modeling common scenarios as you progress from an ADF novice to an expert pipeline creator. Explore the new features in ADFV2 and their application in streamlining factories within real-world solutions. Gain insights into compute options provided by ADF Mapping Data Flows and their interaction with Azure Databricks. Cover essential topics including Linked Services, Development Tools, Integration Runtimes, parameter usage, and Mapping Dataflows. Witness a live demo on transformations and compare Data Factory with Logic Apps. By the end of this session, you'll be equipped with the knowledge to implement truly cloud-native ETL solutions in your data platform.

Syllabus

Intro
What is Data Factory
Linked Services
Development Tools
Integration Runtimes
Data Factory
Using Parameters
Databricks
Mapping Dataflow
Dataflow Preview
Audience Questions
Demo
Transformations on the fly
Data Factory vs Logic Apps
Conclusion


Taught by

PASS Data Community Summit

Related Courses

Google Cloud Big Data and Machine Learning Fundamentals en Español
Google Cloud via Coursera
Data Analysis with Python
IBM via Coursera
Intro to TensorFlow 日本語版
Google Cloud via Coursera
TensorFlow on Google Cloud - Français
Google Cloud via Coursera
Freedom of Data with SAP Data Hub
SAP Learning