Azure Data Factory For Beginners
Free Download Azure Data Factory For Beginners
Published 5/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 120.77 MB | Duration: 0h 34m
Learn the fundamentals of Azure Data Factory with their examples
What you'll learn
You will learn fundamentals of Azure Data Factory concepts
You will learn Azure Monitor and Azure Log Analytics concepts
You will learn Azure Synapse Analytics, Azure Blob Storage in Azure Data Factory
You will learn how to create, schedule, and manage data pipelines for moving and transforming data in Azure
Requirements
You must have azure developer account
Description
You will learn the basics of Azure Data Factory with examples. Azure Data Factory (ADF) is a cloud-based data integration service that allows you to create, schedule, and manage data pipelines for moving and transforming data from various sources to destinations. It's a key component of Microsoft's Azure cloud platform, designed to help organizations streamline their data workflows and enable data-driven decision-making.ADF provides a graphical interface for building data pipelines, called data flows, which consist of activities that perform specific tasks such as data ingestion, transformation, and loading. These activities can be arranged and configured using drag-and-drop functionality, making it easy to design complex data workflows without writing extensive code. ADF supports a wide range of data sources and destinations, including on-premises and cloud-based storage systems, databases, and software as a service (SaaS) applications. It integrates seamlessly with other Azure services such as Azure Synapse Analytics, Azure Blob Storage, Azure SQL Database, and more, enabling you to leverage the full power of the Azure ecosystem for your data integration needs.ADF offers robust monitoring and management capabilities, allowing you to monitor the performance and health of your data pipelines in real-time, troubleshoot issues, and optimize performance. It provides logging and auditing functionality, as well as integration with Azure Monitor and Azure Log Analytics for advanced monitoring and analysis.
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Discovery Load Balancer in Azure Data factor
Lecture 3 Load Balancer in Azure Data factory
Lecture 4 Virtual Machines in Azure Data factory
Lecture 5 Installing tools in Data factory
Lecture 6 Various Commands in Azure Data factory
For those wanting to learn basics of Azure Data Factory concepts
Homepage
https://www.udemy.com/course/azure_microsoftt/Rapidgator
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