The Last Watchdog
SEPTEMBER 18, 2018
All too many companies lack a full appreciation of how vital it has become to proactively manage and keep secure “unstructured data.”. One reason for the enduring waves of ransomware is that unstructured data is easy for hackers to locate and simple for them to encrypt. A few takeaways: Outside a database.
Thales Cloud Protection & Licensing
DECEMBER 11, 2023
Part of this process includes identifying where and how data is stored—on-premises, in third-party servers or in the cloud. While an organization might already know the location of structured data such as a primary customer database store, unstructured data (such as that found in stray files and emails) is more difficult to locate.
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Security Affairs
JULY 3, 2023
Structured data is highly valuable for generating reports, performing statistical analysis, and gaining insights into operational efficiency. Examples: Customer Personal Identifiable Information, transactional data, inventory records, and financial statements.
Thales Cloud Protection & Licensing
FEBRUARY 18, 2021
The LGPD creates a legal framework for the use of personal data of individuals in Brazil, regardless of where the data processor is located. Visibility across the organization provides the accurate data it needs to make informed decisions. Reduced Risk of Exposure.
DLA Piper Privacy Matters
MAY 11, 2020
Create an operationally significant limited exception to deletion and access rights for many types of unstructured data. Some good news for CCPA-regulated ‘businesses’ The CPRA would: Limit businesses’ liability for violations of the law by “third-party” businesses.
Everteam
JANUARY 22, 2019
The intersection of Structured and Unstructured Data. Today there is a clear separation on how you manage structured data (database, transactional data) and unstructured data (documents, text, videos, images, email, social media, etc.). Data on legal hold = <1%. Record-worthy data = <2%.
erwin
JUNE 26, 2020
The data catalog is a searchable asset that enables all data – including even formerly siloed tribal knowledge – to be cataloged and more quickly exposed to users for analysis. It is structural and describes data objects such as tables, columns, rows, indexes and connections. for analysis and integration purposes).
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