Data Analytics: Data Analytics refers to the practice of collecting, analyzing, and interpreting raw data to derive valuable insights and make informed business decisions. It involves using various techniques, tools, and algorithms to process large datasets, identify patterns, trends, and correlations, and extract meaningful information.
AWS Basics: AWS Basics encompasses a foundational understanding of Amazon Web Services, a cloud computing platform offered by Amazon. It covers the essential components, services, and functionalities of AWS, including compute, storage, databases, networking, and security. Having knowledge of AWS Basics is crucial for leveraging AWS services effectively and efficiently.
Data Warehousing: Data Warehousing refers to the process of collecting, organizing, and managing large volumes of structured and semi-structured data from various sources into a unified, central repository. It involves designing and implementing data models, creating efficient data structures, and enabling powerful data querying and analysis capabilities. Data Warehousing is essential for optimizing data storage, retrieval, and analysis, enabling organizations to make informed data-driven decisions.