Collibra

DECEMBER 1, 2020

However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.

Government 59

Government Analytics Marketing Unstructured data 59

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 92

Unstructured data Metadata Encryption Data structuring 92

IBM Big Data Hub

JANUARY 5, 2023

How the right data architecture improves data quality. The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Metadata 52

Metadata Analytics Big data Unstructured data 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Privacy Access Libraries 52

Collibra

FEBRUARY 3, 2022

Data stored in data lakes can be images, videos, server logs, social media posts, and data from IoT devices. They do not need a fully defined data structure. Because of their flexibility, data lakes are much more cost-effective. But these advantages can turn data lakes quickly into data swamps. .

Metadata 52

Metadata Analytics Unstructured data Government 52

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

Data science 58

Data science Big data Analytics Mining 58

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. After all, they are very different types of information, so they require different technology and governance approaches.

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84