Explanation
Azure Data Engineer Technology Starter (Bundle), Microsoft Azure Data Engineering is one of the fastest growing and most demanding jobs for Data Science professionals. According to Dice’s 2019 report, there was an 88% year-over-year growth in job postings for data engineers, which was the highest growth rate of all technology jobs. If you are interested in this page, there could not be a better time to start learning this technology for Microsoft Azure Data Solutions. You will be able to identify the right choice of Azure SQL Server, purchase the model and service level according to the requirements and you will be able to install it in the cloud. You will be able to set up security settings to secure your data. You will be able to deploy Azure Synapse Analytics (formerly known as Azure SQL data warehouse) in an Azure Cloud environment. You will have a better understanding of the internal MPP architecture, so you will be able to analyze your on-premises data warehouse and migrate data to Azure Data Warehouse.
You will be able to create an Azure Data Lake storage account, load data using various tools and analyze it using Databricks and HDInsight. You will understand the key components of Azure Data Factory and its benefits. You will be able to create, schedule and monitor pipelines easily. You will learn the basic understanding of the Hadoop Ecosystem and its 3 major architectures. This chapter will prepare you to learn Big Data in the Azure Cloud using HDInsight. We will understand how HDInsight makes Hadoop easy, we will go through a simple demo where we will fetch data from Data Lake, process it in Hive and then store the data in SQL Server. You will understand all the basic concepts of Cosmos DB, and you will be able to create a new database, container, document, choose the right partition key, configure global distribution and use other important features.
What will you learn?
- You will be able to identify the right Azure SQL server deployment option, purchase type and service level according to the requirements and you will be able to deploy it in the cloud.
- You will be able to deploy Azure Synapse Analytics (formerly known as Azure SQL data warehouse) in an Azure Cloud environment.
- You will have a better understanding of the internal MPP architecture, so you will be able to analyze your on-premise warehouse, and migrate data to Azure Data Warehouse.
- You will be able to create an Azure Data Lake Gen1 storage account, load data and analyze it using the U-SQL Language.
- You will understand the key components of Azure Data Factory and its benefits. You will be able to create, schedule and monitor pipelines easily.
- We will understand how HDInsight makes Hadoop easy, we will go through a simple demo where we will fetch data from Data Lake, process it in Hive and then store the data in SQL Server.
Who is this course for?
- Azure Platform Startup
- Database Developer
- Database Administrators (DBA)
- Developing Business Intelligence (BI)
- Data Engineers
- Data Scientist
- Data Analyst or similar profiles
- Other sites on the site Information related to profiles who want to learn how to implement this technology in the Azure Cloud.
- Anyone looking to start their career as an Azure Data Engineer
Specialization in Azure Data Engineering Technologies for Beginners (Database)
- Publisher: Udemy
- Teacher: Eshant Garg
- Language : English
- Level: Beginner
- Number of courses: 318
- Duration: 33 hours and 39 minutes
Azure Database Engineering Techniques for Beginners (Database)
Requirements
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
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file size
6.26GB