Today’s organizations are dealing with an increasingly complex data landscape. Data is spread out across multiple platforms, data access and management are decentralized across marketplaces and business domains, and companies are using AI and machine learning to analyze both structured and unstructured data. It’s not hard to see why data owners, stewards, governors, and users alike are often hindered by bottlenecks and inefficiency.
This creates several challenges:
- How do you create a data security plan that accounts for all of this?
- How do you manage access to data across multiple platforms?
- How do you secure and manage data access for the AI era?
- How do you build an effective and secure data marketplace?
- How do you monitor data activity and prove compliance without further delays?
This practical guide from O’Reilly provides a blueprint for modern data security. It covers everything you need to know, from creating data security workflows to managing cloud data governance and security across multiple platforms.
In this report, you’ll get expert tips on how to:
- Create data security workflows
- Manage data governance and security across multiple platforms
- Secure data for the AI era
- Build a data marketplace or data mesh
- Monitor data activity and prove compliance
