Security Affairs

JULY 3, 2023

Understanding the different types of data is crucial for organizations as it helps them devise appropriate data protection and management strategies. Data can be classified into; Structured Data: Structured data refers to information that is organized in a predefined format.

Unstructured data 93

Unstructured data Metadata Encryption Data structuring 93

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. Flexible data structures (i.e.

Cloud 52

Cloud Unstructured data Data structuring Analytics 52

Everteam

MARCH 12, 2019

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84

AIIM

JULY 23, 2020

Data Quality Issues. Any migration involving unstructured data, that is, individual files, is bound to run into issues migrating certain file formats. Unknown Formats: Most repositories can store any kind of digital data, but if you run into unknown formats, there is a question as to whether to even bother migrating them.

Metadata 206

Metadata Data structuring Records Management ROT 206

CILIP

OCTOBER 26, 2018

s internal data and making it accessible to machines will enable technologies like artificial intelligence. You need to have your structured data structured in a good place ? Then graph databases, etc, are for your unstructured data. This process is happening. For example, being able to link things ?

Artificial Intelligence 40

Artificial Intelligence Unstructured data Data structuring IT 40

ARMA International

SEPTEMBER 22, 2021

This “anytime, anywhere” aspect is possible by merging traditional RIM practices of document and records lifecycle management and DT, but with a focus on how to “package” the content to deliver a product or service. The farmer can use AI to evaluate the results and then, based on data, decide to repeat or modify the process.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52