Microsoft Azure Data Engineering – Visualpath
In this modern era, every business or organization relies on data. Data has become the crucial aspect for the success of any business and is continuously growing with each passing day. Data can be termed as the heart of every business or organization. This has led to the rise of Data Engineering. Before diving deep into the Microsoft Azure Data Engineering concepts and techniques, it is essential to understand the concept of Data Engineering.
Data Engineering is an approach that involves the effective organization of data to make it accessible for different types of users in different fields such as Marketing, Sales, Business Associates, and many more. In simple terms, you can understand this with an example.
Consider an organization that has a large amount of data spread across various data sources like MySQL Database, ERP (Enterprise Resource Planning) tools, CRM (Customer Relationship Management) tools, etc. Now, to analyze the data from these data sources, it is essential to unify the data into a central location. This central location might be a Data Warehouse or a Database. The entire process that is involved in moving the data from data sources to the Data Warehouse or vice versa comes under the discipline of Data Engineering.
The main goal of Data Engineering is to enable individuals to make data-driven decisions and at the same time provide a uniform and consistent flow of data through each stage of the process. Microsoft Azure Data Engineering makes the process of building the infrastructure for accessing and organizing the data easier with its wide variety of services and tools.
This article will give you a comprehensive guide to Microsoft Azure Data Engineering and how it can be beneficial for organizations and businesses. This
article will also provide you the important services and tools provided by Microsoft Azure Data Engineering.
Microsoft Azure is one of the top Cloud Computing Platforms developed by Microsoft in 2008. The core Cloud services that are provided by Microsoft Azure include Storage, Analytics, and Computing Power. Additionally, It provides 3 different types of Cloud Computing services:
PaaS (Platform as a Service): PaaS (Platform as a Service) is one of the Cloud Computing models where the vendor provides access to its cloudbased environment for building applications on its infrastructure over the internet.
IaaS (Infrastructure as a Service): IaaS (Infrastructure as a Service) is a Cloud Computing model where the vendor provides access to its Storage, Computing Power, Networking, and Servers over the internet.
SaaS (Software as a Service): SaaS (Software as a Service) is also a Cloud Computing model where the vendor provides access to its Applications and Softwares over the internet.
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