[Udemy Course] Azure Data Engineer Technologies for Beginners [Bundle] by Eshant Garg

What you’ll learn

You will be able to identify right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in cloud.

You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment.

You will have good internal MPP architecture understanding, and so you will be able to analyse your on-premises data warehouse, and migrate data to Azure Data Warehouse.

You will be able to create Azure Data Lake Gen1 storage account, populate it will data and analyze it using U-SQL Language.

You will understand Azure Data Factory key components and advantages. You will be able to create, schedule and monitor simple pipelines.

We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it through Hive and later will store

Why Microsoft Azure Data Engineer?

Microsoft Azure Date Engineering is one of the fastest-growing and in-demand occupations among Data Science practitioners.

According to a 2019 Dice report, there was an 88% year-over-year growth in job postings for data engineers, which was the highest growth rate among all technology jobs.

If you are interested in this domain, there cannot be a better time to start learning these Microsoft Azure Data Solution technologies.

Expected Outcomes

After this course:

Microsoft Azure SQL Server – You will be able to identify the right Azure SQL Server deployment option, purchasing model and service tier according to requirements and will be able to deploy it in the cloud. You will be able to set up a security configuration to secure your database.

Microsoft Azure SQL Data Warehouse – You will able to deploy Azure Synapse Analytics (formerly known as Azure SQL Data warehouse) in Azure Cloud environment. You will have good internal MPP architecture understanding, and so you will be able to analyze your on-premises data warehouse and migrate data to Azure Data Warehouse.

Microsoft Azure Data Lake – You will be able to create Azure Data Lake storage account, populate it will data using different tools and analyze it using Databricks and HDInsight

Microsoft Azure Data Factory – You will understand Azure Data Factory’s key components and advantages. You will be able to create, schedule and monitor simple pipelines.

Hadoop Basics – You will learn the fundamental understanding of the Hadoop Ecosystem and 3 main building blocks. This module will prepare you to start learning Big Data in Azure Cloud using HDInsight.

Microsoft Azure HDInsight – We will understand how HDInsight makes Hadoop easy, and we will go through simple demo where we’ll fetch data from Data Lake, process it through Hive and later will store data in SQL Server.

Cosmos DB – You will understand all basic concepts of Cosmos DB, and will be able to create a new database, container, documents, and choose right partition key, configure the global distribution and use other important features

Streaming Service – I will add details soon

Databricks – Video lessons added, I will add details here soon

Storage Service – Video lessons added, I will add details soon

Intended Audience

Beginners in Microsoft Azure Platform

Microsoft Azure Data Engineers

Microsoft Azure Data Scientist

Database and BI developers

Database Administrators

Data Analyst or similar profiles

On-Premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.

Anyone who is looking forward to starting his career as an Azure Data Engineer.

Level

Beginners (100)

“if you are already experienced and working on these technologies, this may not be the best course for you.”

I have a few crash courses (Free) for absolute beginners, you can find links on my website.

Prerequisites

Basic T-SQL and Database concepts

Microsoft Azure Free trial Subscription

Language

English

If you are not comfortable in English, please do not take a course, captions are not good enough to understand the course.

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Product Details: http://bit.ly/3n1NhRM

File size: 8.1GB

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