Microsoft Azure is the fastest-growing cloud platform. Companies all over the world are looking for data engineers capable of dealing with massive quantities of data to extract insights and present them in a understandable and interactive way.
Topics covered:
Describe core data concepts (15-20%)
Describe types of core data workloads
· describe batch data
· describe streaming data
· describe the difference between batch and streaming data
· describe the characteristics of relational data
Describe how to work with relational data on Azure (25-30%)
Describe relational Azure data services
· describe and compare PaaS, IaaS, and SaaS solutions
· describe Azure SQL database services including Azure SQL Database, Azure SQL Managed Instance, and SQL Server on Azure Virtual Machine
· describe Azure Synapse Analytics
· describe Azure Database for PostgreSQL, Azure Database for MariaDB, and Azure Database for MySQL
Describe how to work with non-relational data on Azure (25-30%)
Describe non-relational data offerings on Azure
· identify Azure data services for non-relational workloads
· describe Azure Cosmos DB APIs
· describe Azure Table storage
· describe Azure Blob storage
· describe Azure File storage
Describe an analytics workload on Azure (25-30%)
Describe analytics workloads
· describe transactional workloads
· describe the difference between a transactional and an analytics workload
· describe the difference between batch and real time
· describe data warehousing workloads
· determine when a data warehouse solution is needed
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Hello my names is Melissa, I’m a Data Engineer skilled in Database Design, Business Intelligence Development & Data Analysis with several years of experience in IT. My main expertise revolves around Microsoft SQL server and Microsoft Integration Service ETL tool to design and develop databases/data warehouse/reporting/datamarts/dashboards for various industries like Banking, Insurance, Healthcare etc.
After all my stumbling in the data world I’m here in udemy to help you minize yours, see you inside.
