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This article discusses key tools needed to master, in order to penetrate the data space. Such tools include SQL and NoSQL databases, Apache Airflow, Azure Data Factory, AWS S3, Google Cloud Storage, ...
Data scientists view both Azure ML and Databricks as top software picks because both solutions offer comprehensive cloud-based machine learning and data platforms. However, their key differences ...