Build a Data Mesh using Azure-Hands on, real-world scenario

Azure Synapse Analytics-Data Ingestion, Transformation & Analysis; Azure AD; Azure RBAC; Azure Data Lake Storage gen V2
What you'll learn
Data Mesh Principles ; Apply Domain Driven Design; Create Azure free account & Subscription
Azure Active Directory- Create AD Tenant, Create users& groups
Create Azure Data Lake storage gen v2, Understand Azure RBAC, Assign built in roles, Azure network security features and Encryption overview
Azure synapse analytics for Data Ingestion and Transformation-pipeline, dataflow, CETAS, linked service, copy data tool, expressions, and activities
Azure synapse analytics for Data Ingestion and Transformation using Spark Pools using data frame
Azure synapse analytics Data Analysis - Use Spark & SQL, understand OPENROWSET to query files, understand using data types in OPENROWSET, column referencing
Azure synapse analytics Data Analysis - query subset of data, use collation, create database, create external data source, create external table and view
Cross domain data analysis, practically understand no data silos exists in a data mesh
Requirements
You will learn all you need to know. However, below skills will be beneficial to your learning
Basic Azure cloud fundamentals
Basic SQL
Basic PySpark or Python
Basic Data Engineering
Basic Data Analysis
Description
In this course, I will practically show you how to build a Data Mesh using Microsoft's cloud computing platform Azure. By the end of the course, you would have gained a solid understanding of Azure Synapse analytics, and how it can be used for data ingestion, transformation, and analysis. I will give you an overview of all the Hubs in Azure Synapse and show you how to use Serverless SQL Pools and Spark Pools. You will understand the OPENROWSET function, explicit data types, collation, database, external data source, linked service, built-in copy data tool, CETAS, pipelines, activities, dataflows, external table, and view. I will show how to perform data analysis using Spark and SQL. You will understand what data mesh is and its principles, and how it can be applied in a real-world scenario. You will learn about the importance of data domains. You will learn about azure data lake storage gen v2. You will learn about how to assign built-in roles in Azure. Furthermore, you would have explored the role of domain-driven design in creating a modular scalable data infrastructure. Data Mesh emphasizes the decentralization of data management, allowing teams to own their data and avoid dependencies on a central data team, you will learn about using Azure to create decentralized teams, in the Azure active directory we will create users and groups for the decentralized teams. Then we will build the data domains using the domain-specific teams. The principles of data mesh can help you build more robust and scalable data systems that meet your organization's needs. Whether you are a data engineer or a data scientist or a data analyst or a business analyst or whichever role in IT, at the end of this course you will understand how with the new Data Mesh architecture in place, the company can build data-driven products without any data silos.
Who this course is for
Anyone interested to understand data mesh, domain driven design and application of data mesh to a real world scenario in cloud
Anyone interested in learning azure synapse analytics, azure active directory, and azure RBAC
University students, Data Engineers, Data Analyst , Data scientist
Project Managers, Project Sponsors who are involved in projects related to Azure Synapse Analytics
Business Analyst, Product owners, Product managers who are involved in designing Data Mesh and/or Azure synapse projects
You will learn some topics that cover DP203, however this course is not designed for just certification of DP203
HOMEPAGE
https://www.udemy.com/course/build-a-data-mesh-using-azure-hands-on-real-world-scenario/

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