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Certificering

Microsoft Certified: Azure Data Engineer Associate

5 dagen

Ga voor jouw Microsoft Azure Data Engineer Associate Certificering bij Master IT ✅ Upgrade jouw toekomst met een Microsoft certificering! Azure Data Engineers integreren, transformeren en consolideren gegevens van verschillende gestructureerde en ongestructureerde gegevenssystemen in structuren die geschikt zijn voor het bouwen van analyseoplossingen.

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Deze certificering omvat:

Certificering: Microsoft Certified: Azure Data Engineer Associate

Azure Data Engineers integrate, transform, and consolidate data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.

Candidates for Exam DP-203: Data Engineering on Microsoft Azure must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.

A candidate for the Azure Data Engineer Associate certification should have subject matter expertise integrating, transforming, and consolidating data from various structured and unstructured data systems into structures that are suitable for building analytics solutions.

Responsibilities for this role include helping stakeholders understand the data through exploration, building and maintaining secure and compliant data processing pipelines by using different tools and techniques. This professional uses various Azure data services and languages to store and produce cleansed and enhanced datasets for analysis.

An Azure Data Engineer also helps ensure that data pipelines and data stores are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints. This professional deals with unanticipated issues swiftly and minimizes data loss. An Azure Data Engineer also designs, implements, monitors, and optimizes data platforms to meet the data pipeline needs.

A candidate for this certification must have solid knowledge of data processing languages, such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.

  • Module 1: Explore compute and storage options for data engineering workloads
  • Module 2: Design and implement the serving layer
  • Module 3: Data engineering considerations for source files
  • Module 4: Run interactive queries using Azure Synapse Analytics serverless SQL pools
  • Module 5: Explore, transform, and load data into the Data Warehouse using Apache Spark
  • Module 6: Data exploration and transformation in Azure Databricks
  • Module 7: Ingest and load data into the data warehouse
  • Module 8: Transform data with Azure Data Factory or Azure Synapse Pipelines
  • Module 9: Orchestrate data movement and transformation in Azure Synapse Pipelines
  • Module 10: Optimize query performance with dedicated SQL pools in Azure Synapse
  • Module 11: Analyze and Optimize Data Warehouse Storage
  • Module 12: Support Hybrid Transactional Analytical Processing (HTAP) with Azure Synapse Link
  • Module 13: End-to-end security with Azure Synapse Analytics
  • Module 14: Real-time Stream Processing with Stream Analytics
  • Module 15: Create a Stream Processing Solution with Event Hubs and Azure Databricks
  • Module 16: Build reports using Power BI integration with Azure Synapase Analytics
  • Module 17: Perform Integrated Machine Learning Processes in Azure Synapse Analytics

 

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Certificering
Microsoft Certified: Azure Data Engineer Associate
€ 2.915,-
€ 2.765,-