Data governance with AWS

Balance data access and control to accelerate data-driven decisions


Data governance with AWS helps organizations accelerate data-driven decisions by making it easy for the right people and applications to securely and safely find, access, and share the right data when they need it. You can curate data by automating data integration and data quality to limit the copies of data. You can discover and understand your data with centralized catalogs that boost data literacy. You can protect your data with precise permissions that let you share data with confidence. And you can reduce risk and improve regulatory compliance posture by monitoring and auditing data access.

Data governance circle inforgraphic

Benefits of data governance with AWS

Identify and manage your most valuable data sources, including databases, data lakes and data warehouses, so you can limit copies and redundant transformation of critical data assets. Curating data also means ensuring that the right data is accurate, fresh, and has sensitive information identified so users can have confidence in the data driving decisions and applications.
Discover and comprehend the meaning of data so data consumers can use it confidently to drive business value. With a centralized data catalog, data can be found easily, access can be requested, and data can be used to make business decisions.
Balance data privacy, security, and access. Govern data access across organizational boundaries, with tools that are intuitive for both business and engineering users.
Understand how data is being used and by whom. AWS services help you monitor and audit data access—including access through ML models-- to help ensure data security and regulatory compliance. Machine learning also requires auditing transparency to ensure responsible use and simplified reporting.

Balance data access and control by working backwards from your business initiatives

Read this O'Reilly Report to learn how to deploy data-driven solutions that require modern data governance. Executives will gain the necessary insights and knowledge to navigate the complexities of managing data governance at scale.

Address data governance challenges with AWS

Due to siloed lines of business (LOBs), data stored in multiple formats (open or proprietary) and data stored in multiple storage devices, businesses have a limited view of the totality of data available to them. That blind-spot puts unaccounted-for data at governance risk.

Poor data governance can result in sprawl of a different kind—the creation of data copies to facilitate data access. As data is frequently copied, its reliability as a business’ source of truth degrades. This practices can sometimes result in copies of the data everywhere—perhaps slightly modified—which can can manifest as disconnected and ungoverned data lakes across the LOBs.

Even when a business’ totality of data is curated and accounted for, businesses still struggle to understand what that data means because there’s very little semantic information to explain the data. 

As the number of data users across an organization grow, it's difficult to find and share the best data assets that will drive decisions for targeted business initiatives.

As companies manage more data across more users, ensuring the right users inside and outside the organization have access to the right data becomes increasingly difficult to scale and maintain.

Access that is too restrictive can slow business decision-making. Access that is too lenient can introduce risk.

As the scope of regulatory and compliance obligations increase for businesses, they often struggle to understand who is accessing the data, and if that access aligns with policy and compliance regulations.

Data Governance with AWS Master Class

How can data governance accelerate your business initiatives? How can you use existing enterprise capabilities to build your data governance roadmap and secure funding? In this data governance master class, Kevin Lewis guides you through common missteps, and provides proven best practices.

Learn more

Govern data in your data lakes

Centrally manage and scale fine-grained data access permissions with AWS.

Amazon DataZone – unlock data across organizational boundaries with built-in governance

AWS Glue – discover, prepare, and integrate all your data at any scale

AWS Lake Formation – build, manage, and secure data lakes in days

Amazon QuickSight unified business intelligence at hyperscale

Amazon SageMaker – build, train, and deploy machine learning models for use cases with fully managed infrastructure, tools, and workflows

Amazon Bedrock – build and scale generative AI applications with foundation models (FMs)

Amazon Macie - discover and protect sensitive data at scale

Amazon Simple Storage Service (Amazon S3) Access Points – easily manage access for shared datasets on Amazon S3

AWS Data Exchange – easily find, subscribe to, and use third-party data in the cloud

AWS Clean Rooms – create clean rooms in minutes to collaborate with your partners without sharing raw data