Description
Training objective: This training will enable you to discover data engineering models and practices within the framework of real-time and batch analytical solutions using Azure data platform technologies. DP-203 exam for Microsoft Azure Data Engineer Associate certification
Learning Objectives
- Explore compute and storage options for data engineering workloads in Azure
- Design and implement the service layer
- Understand data engineering considerations
- Execute interactive queries using serverless SQL pools
- Explore, transform, and load data into the data warehouse using Apache Spark
- Explore and transform data in Azure Databricks
- Ingest and load data into the data warehouse
- Transform data with Azure Data Factory or Azure Synapse Pipelines
- Integrate data from notebooks with Azure Data Factory or Azure Synapse Pipelines
- Optimize query performance with dedicated SQL pools in Azure Synapse
- Analyze and optimize storage in the data warehouse
- Support hybrid transactional/analytical processing (HTAP) with Azure Synapse Link
- Ensure end-to-end security with Azure Synapse Analytics
- Perform real-time stream processing with Stream Analytics
- Create a streaming solution with Event Hubs and Azure Databricks
- Create reports using Power BI integration with Azure Synapse Analytics
- Execute built-in machine learning processes in Azure Synapse Analytics
Target Audience
Data Engineers
Data Scientists
Data Architects
Data Analysts
Prerequisites
Participants must have knowledge of cloud computing and basic data concepts, along with professional experience in data solutions
Completion of "Azure – Fundamentals" & "Microsoft Azure - Data Fundamentals" trainings or equivalent knowledge
Program Outline
Informations
Duration
4 jour(s)
28h
Tarif
2700 € HT
HT
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