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.
Benefits of data governance with AWS
Curate data at scale to limit data sprawl
Discover and understand your data in context to accelerate data-driven decisions
Protect and securely share your data with control and confidence
Reduce business risk and improve regulatory compliance
Address data governance challenges with AWS
As data sprawl increases, data is increasingly complex to govern
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.
Data is not discoverable or easily shareable
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.
Balancing data access with control and security is difficult
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.
Lack of comprehensive data access monitoring for auditing and reporting creates regulatory and business 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.
Related AWS services
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