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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Vladyslav is a Senior Data Engineer focused on building data pipelines and infrastructure for AI-driven products. Started as a Python developer, he moved deeper into data engineering through hands-on work with ETL/ELT systems... Read More
Victoriia is a skilled Flutter Developer with 4 years of experience in mobile application development. She specializes in frameworks such as Flutter, leveraging JavaScript, DART, and utilizes databases like MySQL and Firebase... Read More
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