What are the key tools and technologies needed for Data Engineering?
The question is about Data Engineering .
Essential tools and technologies for Data Engineering include ETL tools, cloud services, data processing frameworks, and databases. Examples are Apache NiFi, Apache Talend, Apache Spark, Apache Hadoop, AWS, Google Cloud, and Azure. For managing data, you often use PostgreSQL and MySQL for traditional databases, MongoDB for NoSQL, and both Python and SQL for writing and validating data.
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