Azure Data Engineer Technologies for Beginners [Bundle]

About this course

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 OutcomesAfter 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 HDInsightMicrosoft 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 HDInsigh