This certification course has been designed by industry experts to help you prepare for the Data Engineer Associate certification. Through this training, you will gain knowledge in integrating, transforming, and consolidating data from various structured, unstructured, and streaming data systems into a suitable schema for building analytics solutions.
Duration / Scope
100 Hrs Training
Expert Mentors
20+ Yrs Exp
Milestone
Labs & Projects
Microsoft Azure Data skills and take your career to the next level!
Global Job Market Demands
Job Postings
There is a global estimate of 1.3 million job postings for Microsoft Azure data expert by 2025-26.
Industry Growth
Experiencing robust compound growth in the global Microsoft Azure industry.
High Demand
According to Microsoft, demand for Azure Data Engineers has increased by over 100% in the past year.
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As an Azure data engineer, you help stakeholders understand the data through exploration, and build and maintain secure and compliant data processing pipelines by using different tools and techniques. You use various Azure data services and frameworks to store and produce cleansed and enhanced datasets for analysis. This data store can be designed with different architecture patterns based on business requirements. That include Morden Data warehouse, Big Data and Data lakehouse.
"Microsoft Azure Data skills and take your career to the next level!"
Explore all comprehensive curriculum items for Microsoft Azure Data Engineer Associate.
Project cover the following industries
Data analysts often use SQL to query data for analysis and reporting. Data engineers can also make use of SQL to manipulate and transform data; often as part of a data ingestion pipeline or extract, transform, and load (ETL) process.
Azure Synapse Analytics enables you to combine the flexibility of file storage in a data lake with the structured schema and SQL querying capabilities of a relational database through the ability to create a lake database.
In this project, you'll use Azure Stream Analytics to process a stream of sales order data from an online retail application, sending order data to Event Hubs where stream analytics jobs read and ingest it into Azure Synapse Analytics.
Build a transactional data storage layer for Spark on top of a data lake, adding support for relational semantics and lakehouse architecture creation.
Azure Databricks is built on Apache Spark and offers a highly scalable solution supporting Java, Scala, Python, and SQL for various data workloads.
Orchestrate data engineering tasks, such as processing data files and loading them into tables as part of an end-to-end data pipeline using Azure Data Factory.
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