erwin
OCTOBER 8, 2020
So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. But transforming and migrating enterprise data to the cloud is only half the story – once there, it needs to be governed for completeness and compliance.
IBM Big Data Hub
NOVEMBER 20, 2023
In 2023, organizations have faced an unprecedented level of pressure to digitally transform with the rise of generative AI as well as imperatives such as sustainability, labor productivity and security. The findings indicate that highly regulated industries are increasingly weighing risks, such as security, when considering the technology.
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eSecurity Planet
APRIL 20, 2023
Vulnerability assessment is the process of finding and analyzing gaps or weaknesses in a network, application, or organization’s IT and security systems. 8 Types of Vulnerability Assessments To obtain a thorough vulnerability assessment of an organization’s security systems and networks, security teams need to test a range of systems.
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.
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.
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.
IBM Big Data Hub
NOVEMBER 29, 2023
With the emergence of new advances and applications in machine learning models and artificial intelligence, including generative AI, generative adversarial networks, computer vision and transformers, many businesses are seeking to address their most pressing real-world data challenges using both types of synthetic data: structured and unstructured.
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