Gartner Research

Building Data Architecture Using Amazon Web Services

Published: 09 June 2020

ID: G00451433

Analyst(s): Sumit Pal, Sanjeev Mohan

Summary

Amazon Web Services provides extensive capabilities to build scalable, end-to-end data management solutions in the cloud. This document helps data and analytics technical professionals select the right combination of solutions and products to build an end-to-end data management platform on AWS.

Table Of Contents

Analysis

  • Architectural Best Practices for Cloud
  • Data Transfer and Ingestion
    • Data Ingestion Options in AWS
    • How to Select Data Ingestion or Data Transfer Service
  • Data Storage
    • Data Storage Options in AWS
    • How to Select Data Stores in AWS
  • Data Processing
    • Data Processing Options in AWS
    • How to Select Data Processing in AWS
  • Data Consumption
    • Data Access Options in AWS
    • How to Select Data Access in AWS
  • Data Operationalization and Monitoring
    • Data Operationalization and Monitoring Options in AWS
  • Data Security, Privacy and Governance
    • Amazon Macie
    • AWS Glue
    • AWS Lake Formation
  • Strengths
  • Weaknesses

Guidance

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