Overview
We will explore the common tasks and tools for data job roles. We will learn about the three key job roles that deal with data in most organizations: database administrator, data engineer, and data analyst.
Database Administrator Role
Responsible for designing, implementing, maintaining, and operating on-premises and cloud-based database solutions built on Azure data services and SQL Server.
Responsible for ensuring overall availability, consistent performance, optimization of database solutions.
Works with stakeholders to implement policies, tools, and processes for backup and recovery plans.
Responsible for managing the security of the data in the database by granting privileges over the data.
Data Engineer Role
Collaborates with stakeholders to design and implement data-related assets that include data injection pipelines cleansing and transformation activities.
Ensures privacy of the data is maintained within the cloud spanning from on-premises to cloud datastore.
Owns management and monitoring of the datastore to ensure that data loads perform as expected.
Data Analyst Role
Enables business to maximize value of their data assets by designing scalable models cleansing transforming enabling advanced analytic capabilities through reports visualizations.
Processes raw data into relevant insight based on identified business requirement to deliver relevant insights.
Common Tools Used by Database Administrators
Most database management systems provide their own set of tools to assist with database administration such as SQL Server Management Studio or pgAdmin for Postgre SQL systems.
Azure Data Studio provides a graphical user interface for managing many different database systems.
SQL Server Management Studio provides a graphical interface enabling you to query data perform general database administration tasks and generate scripts for automating database maintenance and support operations.
Common Data Engineering Tools
To master data engineering, you need to be familiar with a range of tools that enable you to create well-designed databases optimized for business processes.
You must have a thorough understanding of the architecture of the database management system, the platform on which it runs, and the business requirements for the data being stored in the database.
If you are using a relational database management system, you need to be fluent in SQL and able to use it to create databases tables indexes views and other objects required by the database.
Data Analytics Tools
A skilled data analyst will explore data and use it to determine trends issues and gain other insights that might benefit their company.
Data visualization is key to presenting large amounts of information in ways that are universally understandable or easy to interpret and spot patterns trends and correlations.
Microsoft Power BI is a powerful visualization platform used by many analysts now for creating rich graphical dashboards and reports over dynamic data.
Reference
For more details follow the Microsoft Official Documentation: learn.microsoft.com/en-us/training/paths/az..