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Data Engineer

Microsoft via SWAYAM Plus

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A data engineer integrates, transforms, and consolidates data from various structured and unstructured data systems into structures that are suitable for building analytics solutions. The data engineer also helps design and support data pipelines and data stores that are high-performing, efficient, organized, and reliable, given a specific set of business requirements and constraints.

Intended audience

Azure Data Engineer, Data Architect, Machine Learning Engineer

Prerequisites

As a candidate for this certification, you must have a solid knowledge of data processing languages, including:
SQL
Python
Scala
You need to understand parallel processing and data architecture patterns. You should be proficient in using the following to create data processing solutions:
Azure Data Factory
Azure Synapse Analytics
Azure Stream Analytics
Azure Event Hubs
Azure Data Lake Storage

Assessment & certification

Assessment fee: ₹4,800
Assessment mode: Center based
Assessment type: MCQ
Assessment provider: Assessment Partner
Certificate provider: Azure Data Engineer, Data Architect, Machine Learning Engineer

Syllabus

Week 1: Get started with data engineering on Azure (3 modules)
Week 2: Build data analytics solutions using Azure Synapse serverless SQL pools (4 modules)
Week 3: Perform data engineering with Azure Synapse Apache Spark Pools (3 modules)
Week 4: Work with Data Warehouses using Azure Synapse Analytics (4 modules)
Week 5: Transfer and transform data with Azure Synapse Analytics pipelines (2 modules)
Week 6: Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics (3 modules)
Week 7: Implement a Data Streaming Solution with Azure Stream Analytics (3 modules)
Week 8: Govern data across an enterprise (5 modules)
Week 9: Data engineering with Azure Databricks (5 modules)