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Data Integration and Transformation, A good understanding of various data integration and transformation techniques, like normalization, data cleansing, data validation, and data mapping, is necessary to become an ETL developer. Data Governance Know-how of datasecurity, compliance, and privacy.
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ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern datastorage systems. The data is loaded as-is, without any transformation.
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Azure Services You must be well-versed in a variety of Azure services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Analysis Services, Azure Stream Analytics, and Azure Data Lake Storage, in order to succeed as an Azure Data Engineer. The certification cost is $165 USD.
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Additionally, for a job in data engineering, candidates should have actual experience with distributed systems, data pipelines, and related database concepts. Let’s understand in detail: Great demand: Azure is one of the most extensively used cloud platforms, and as a result, Azure Data Engineers are in great demand.
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