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Most Frequently Asked Azure Data Factory Interview Questions

Analytics Vidhya

Introduction Azure data factory (ADF) is a cloud-based data ingestion and ETL (Extract, Transform, Load) tool. The data-driven workflow in ADF orchestrates and automates data movement and data transformation.

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Why using Infrastructure as Code for developing Cloud-based Data Warehouse Systems?

Data Science Blog

With the evolution of cloud computing, many organizations are now migrating their Data Warehouse Systems to the cloud for better scalability, flexibility, and cost-efficiency. So why using IaC for Cloud Data Infrastructures? Of course, Terraform and the Azure CLI needs to be installed before.

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Boost your MLOps efficiency with these 6 must-have tools and platforms

Data Science Dojo

Best tools and platforms for MLOPs – Data Science Dojo Google Cloud Platform Google Cloud Platform is a comprehensive offering of cloud computing services. It offers a range of products, including Google Cloud Storage, Google Cloud Deployment Manager, Google Cloud Functions, and others.

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Azure Data Engineer Jobs

Pickl AI

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

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How to reduce costs for Process Mining

Data Science Blog

Cloud-Based infrastructure with process mining? Depending on the data strategy of one organization, one cost-effective approach to process mining could be to leverage cloud computing resources. But costs won’t decrease only migrating from on-premises to cloud and vice versa.

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On-Prem vs. The Cloud: Key Considerations 

phData

In this post, we will be particularly interested in the impact that cloud computing left on the modern data warehouse. The Cloud represents an iteration beyond the on-prem data warehouse, where computing resources are delivered over the Internet and are managed by a third-party provider.

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing. Cloud Computing : Utilizing cloud services for data storage and processing, often covering platforms such as AWS, Azure, and Google Cloud.