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Data migrations involve transferring data between systems. ETL (Extract, Transform, Load) processes data before loading it into a destination. ELT (Extract, Load, Transform) first loads data into a storage system and then transforms it. These methods ensure data consistency, accuracy, and enable analytics in new environments.
Data science involves extracting insights from structured and unstructured data using techniques from statistics, machine learning, and computer science. It encompasses data cleaning, analysis, and visualization to inform decision-making. Key tools include Python, R, and SQL. Applications range from business analytics to artificial intelligence and scientific research.
Snowflake is a cloud-based data warehousing solution that offers scalable storage and computing power. It enables businesses to easily store, manage, and analyze large volumes of data. Snowflake's architecture separates storage from compute, ensuring high performance and flexibility. It supports diverse data workloads and seamless data sharing.
Amazon Web Services (AWS) offers a comprehensive suite of cloud computing services, including storage, databases, machine learning, and analytics. It provides scalable, on-demand resources and tools to help businesses innovate faster, reduce costs, and enhance security. AWS is a leading cloud platform used globally.
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