Data Lifecycle and Analytics in the AWS Cloud
Data is an organization’s most valuable asset and the volume and variety of data that organizations amass continues to grow. Simpler data analytics, cheaper data storage, advanced predictive tools like artificial intelligence (AI), and data visualization are necessary for better data-driven decisions.
This ebook guides readers through five stages of the data lifecycle, including data ingestion, data stag
ing, data cleansing, data analysis/visualization, and data archiving. In addition, the document will provide guidance on the overall data security of the data lifecycle.
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