Mastering Azure Data Engineering: The Complete Guide for 2024 || Online Training

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Mastering Azure Data Engineering: The Complete Guide for 2024

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Mode of Training: Online
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🚀 Dive into the Heart of Azure Storage Accounts! 🗄️💻 Join us in the fifth video of our Azure Data Engineering series as we unravel the intricacies of creating and optimizing storage accounts on the Azure platform. Whether you're a data enthusiast or an IT professional, this in-depth guide will empower you to harness the full capabilities of Azure storage. 🔍🌐

🔍 Chapter Breakdown:

1️⃣ Understanding Azure Storage: Explore the different types of Azure storage and grasp the significance of storage accounts in the cloud ecosystem.
2️⃣ Creating Your Storage Account: Follow a step-by-step tutorial on creating your Azure storage account, covering essential configurations and security considerations.
3️⃣ Blob Storage Deep Dive: Delve into Azure Blob Storage, understanding its versatility for handling various types of data, from documents to images.
4️⃣ File, Queue, and Table Storage: Explore the nuances of different storage services within Azure, including file storage, queue storage, and table storage.
5️⃣ Optimizing Storage Performance: Learn tips and best practices for optimizing your storage accounts to ensure scalability, reliability, and cost-effectiveness.
🎯 Who Should Watch?
This tutorial is perfect for anyone looking to demystify Azure storage accounts, from beginners eager to understand the basics to experienced professionals seeking to optimize their storage strategies.
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🔔 Stay Informed and Empowered!
By the end of this video, you'll be equipped with the knowledge and skills to create and optimize Azure storage accounts. Like, subscribe, and hit the notification bell to stay updated on our upcoming tutorials!

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[hanumantharaochalla]

It is good to provide a separate for training Azure Synapsis and Azure ADF+Data bricks with Physpark. Isn't? Why I am saying, I think, none of the companies offer a job with these two technologies together, either they call for Databricks(Machine learning/AI/Big data, etc) or. Azure Synopsis (Data ware house). Pls correct me if I am wrong.