Remove Big Data Tools Remove Data Architecture Remove Data Lake Remove ETL Tools
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How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

To provide end users with a variety of ready-made models, Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs. Data engineers must therefore have a thorough understanding of programming languages like Python, Java, or Scala.

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Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

Generally, data pipelines are created to store data in a data warehouse or data lake or provide information directly to the machine learning model development. Keeping data in data warehouses or data lakes helps companies centralize the data for several data-driven initiatives.

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How to Become an Azure Data Engineer in 2023?

ProjectPro

ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc. Different methods are used to store different types of data. The final step is to publish your work.

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100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

Top 100+ Data Engineer Interview Questions and Answers The following sections consist of the top 100+ data engineer interview questions divided based on big data fundamentals, big data tools/technologies, and big data cloud computing platforms.