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Reference Guide: Extract More Value from your Data

Learn how to prepare, process, and analyze your data in the AWS Cloud to improve decision-making. Also see the Data Lifecycle Stages Infographic

Data is an organization’s most valuable asset. The data deluge has spurred demand for simpler data analytics, cheaper storage, and predictive tools such as artificial intelligence, to empower more people to make sense of their data. Still, costly and conventional IT infrastructure lags when it comes to large-scale workloads.

Written for IT professionals and data science experts, the Data Lifecycle and Analytics in the AWS Cloud Reference Guide helps public sector organizations of all sizes better support advanced data analytics across use cases. The content guides readers through the five stages of the data lifecycle in the AWS Cloud: ingest, staging, cleansing, analysis (including artificial intelligence/machine learning inference and deep learning tools), visualization, archiving, and security.