Embark on a journey into the world of data engineering with our hands-on workshop, “Introduction to Data Engineering Using Azure.” Gain a foundation in core database concepts in cloud environments and data services including relational data, non relational data, big data, and analytics. This workshop is designed for participants with both technical and nontechnical backgrounds. This workshop is designed for individuals interested in understanding the fundamental concepts of data engineering and gaining practical experience in utilizing Microsoft Azure services.

Our main objective of this workshop is to make you ready for DP 900: Microsoft Certified: Azure Data Fundamentals.

Note : Azure subscription is not required.

Topics Covered

Overview of Data Engineering and Azure:

● What is data engineering
● What is Azure
● About skillable labs to perform hands-on exercises

Describe core data concepts:

● What is structured, unstructured, and semi-structured data
● Describe features of transactional & analytical workloads
● Identify roles and responsibilities for data workloads

Identify considerations for relational data on Azure:

● Identify features of relational data
● Describe normalization and why it is used
● Identify common structured query language (SQL) statements
● Identify common database objects
● Describe relational Azure data services

Describe considerations for working with non-relational data on Azure:

● Different types of Azure storage
● Describe the capabilities and features of Azure Cosmos DB

Describe an analytics workload on Azure:

● Describe considerations for data ingestion and processing
● Describe options for analytical data stores
● Describe Azure services for data warehousing, including Azure Synapse Analytics, Azure Databricks,       Microsoft Fabric, Azure HDInsight, and Azure Data Factory
● Describe the difference between batch and streaming data

● Identify Microsoft cloud services for real-time analytics

Access to practical labs to get hands-on experience:

● Hands-on Experience on Azure