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 94

Unstructured data Metadata Encryption Data structuring 94

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.

Privacy 87

Privacy Data Privacy Artificial Intelligence Risk 87

Collibra

DECEMBER 18, 2020

Data governance and privacy professionals attach policies to the metadata, ensuring that access is granted to the right users of data. Data stewards link physical data assets (e.g. tables and columns) to logical data assets (e.g. entities and fields) based on data classification.

Metadata 72

Metadata Sales Access Data structuring 72

AIIM

DECEMBER 19, 2019

It could be that the system is no longer supported by the vendor, making it increasingly difficult to access the information in that system over time. Technical Specialists: A migration could require technical support for the movement of data and questions about implementation and data structures. Conclusion.

Metadata 104

Metadata Records Management ROT Cleanup 104

IBM Big Data Hub

JANUARY 5, 2023

Decide on the changes that will optimize your data for achieving your business objectives. Researching the different types of modern data architectures, such as a da ta fabric and data mesh can help you decide on the data structure most suitable to your business requirements.

Metadata 52

Metadata Analytics Big data Unstructured data 52

erwin

MAY 14, 2021

While the SQL and NoSQL worlds can complement each other in today’s data ecosystem, most enterprises need to focus on building expertise and processes for the latter format. Successfully leveraging this solution requires a significant paradigm shift in how we design NoSQL data structures and deploy the databases that manage them.

Digital transformation 80

Digital transformation Cloud Data structuring Compliance 80

erwin

SEPTEMBER 10, 2020

Whether you need to drill down for a granular view of a particular data set or create a high-level summary to describe a particular system and the data it relies on, end-to-end data lineage must be documented and tracked, with an emphasis on the dynamics of data processing and movement as opposed to data structures.

Digital transformation 131

Digital transformation Metadata Government Compliance 131

Collibra

FEBRUARY 18, 2022

The context metadata conveys is both business as well as technical, which helps you understand the data and use it appropriately. Technical Metadata: Provides information on the format and structure of the data, such as data models, data lineage or access permissions. . Why is metadata management important?

Metadata 90

Metadata IT Government Sales 90

eSecurity Planet

APRIL 20, 2023

Vulnerabilities that could potentially be used by attackers to obtain unauthorized network access, steal data, or harm a system or network are identified and analyzed using a variety of tools and technologies.

Cloud 86

Cloud Data breaches Risk Security 86

Collibra

FEBRUARY 3, 2022

The data can be unstructured and processed as required. 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.

Metadata 52

Metadata Analytics Unstructured data Government 52

erwin

OCTOBER 4, 2022

If you want to efficiently modernize data infrastructure, optimize system performance and deliver applications that will empower your business, mastering data operations is the key. You’ll gain the ability to identify areas within your current data operations efforts that you can improve.

Cloud 52

Cloud Data structuring Government IT 52

Collibra

DECEMBER 1, 2020

Data lake management: Prevent a data swamp. A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured and unstructured data. The data structure and requirements are not defined until the data is needed.

Government 59

Government Analytics Marketing Unstructured data 59

Security Affairs

APRIL 16, 2020

As an example, a simple phishing landing page, requesting access credentials, requires a semi-automated or fully manual process to collect the next authentication factor – the SMS sent to the victim’s mobile phone. The victim accesses the phishing email or SMS. Victim credentials are introduced in the landing-page.

Authentication 123

Authentication Phishing Data structuring Access 123

Collibra

OCTOBER 15, 2020

Delivering to data catalogs : Importing metadata into data catalogs is often not viable, given the complex nature of ERP or CRM metadata. You also need to be fully aware of the data structures of data catalogs to ensure correct mapping.

Metadata 75

Metadata Analytics Data structuring Marketing 75

Data Protection Report

JUNE 25, 2019

LocalStorage is also more flexible insofar as a remote host’s local storage contents do not get transmitted from the end-user’s browser with every network request, but can instead be accessed only when needed through the use of JavaScript. LocalStorage and Cookies—The Similarities . intermediated entirely by the user’s browser).

Privacy 40

Privacy Data collection Data structuring Access 40

Interactive Information Management

MARCH 25, 2014

The recent " Open Data Policy " compels US Federal agencies to make as much non-sensitive, government-generated data as possible available to the public, via open standards in data structures (for humans and machine-readable), APIs (application programming interfaces) and browser-accessible functions.

Government 45

Government Data structuring Risk Access 45

eDiscovery Daily

NOVEMBER 11, 2019

And the technology is an attention-getter: The global data lakes market is expected to grow at a rate of 28 percent between 2017 and 2023. Companies can pull in vast amounts of data — structured, semistructured and unstructured — in real time into a data lake, from anywhere.

Analytics 59

Analytics Big data Data structuring Metadata 59

CGI

DECEMBER 2, 2016

For open APIs to be interoperable—that is, to work effectively among different parties—there has to be a defined (and agreed upon) data dictionary and data model. Biometrics, including fingerprint and iris scans, also will continue to evolve for user access to mobile devices, ensuring higher levels of security.

Financial Services 40

Financial Services Digital transformation Marketing Data structuring 40

ForAllSecure

DECEMBER 1, 2022

This data structure manages a large, linear array of memory and provides convenient access to smaller, dynamically sized chunks of that memory to callers. This library is designed for use in embedded and bootloader contexts, where we don't have the standard library's Vec or Box for dynamic memory.

Security 52

Security Libraries Data structuring Metadata 52

AIIM

JULY 23, 2020

Does this information still need to be actively accessible? Let's take a look: Integrated Systems: Systems that have been tightly integrated may have unanticipated dependencies around data structures and output files. Reports: Integrated systems may also be generating reports that rely on data from both/all systems involved.

Metadata 205

Metadata Data structuring Records Management ROT 205

Collibra

NOVEMBER 5, 2020

The context metadata conveys is both business as well as technical, which helps you understand the data and use it appropriately. . Technical Metadata: Provides information on the format and structure of the data, such as data models, data lineage or access permissions. .

Metadata 59

Metadata Government Privacy Sales 59

IBM Big Data Hub

JULY 6, 2023

Both data science and machine learning are used by data engineers and in almost every industry. It’s also necessary to understand data cleaning and processing techniques. In 1962, a checkers master played against the machine learning program on an IBM 7094 computer, and the computer won.

Data science 60

Data science Big data Analytics Mining 60

Security Affairs

OCTOBER 4, 2019

The flaw is a use-after-free vulnerability that affects the Android kernel’s binder driver, it could be exploited by a local privileged attacker or a malicious app to escalate privileges to gain root access to a vulnerable device. Experts warn it could potentially allow to fully compromise the device. LTS kernel [1], AOSP android 3.18

Cleanup 22

Cleanup Data structuring Access Security 22

Gimmal

JUNE 10, 2022

We can do that both from various repositories and structured data, structured repositories, endpoints and the like. More specifically, we play in eDiscovery when we start to collect, preserve legal holds and process information. A lot of that has been neglected. Read more: Status and Progress of Privacy Compliance in the U.S.

Information governance 52

Information governance Government Privacy Risk 52

IBM Big Data Hub

JUNE 23, 2023

Companies need to get a good understanding of data ( structured and unstructured ), organize it, manage it in a secure manner (while complying with industry regulations) and enable instant access to the “right” data. as required for a “Gig Economy”).

Insurance 63

Insurance Cloud Digital transformation Customer Experience 63

ARMA International

SEPTEMBER 13, 2021

The memex was a hypothetical information-centric hypertext device that would permit people to access any information, regardless of where it was stored. This implies a cloud computing model that ARMA defines as “A model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g.,

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

ARMA International

SEPTEMBER 22, 2021

ARMA (2017) describes RIM practices as the “knowledge and skills required to systematically manage information assets from creation or receipt through processing, distributing, sharing, using, accessing, organizing, storing and retrieving, and disposing of them. So, accessing the content is not easy. Repository Neutral Content.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Security Affairs

MARCH 2, 2019

macro, also known as XLM macro, and used to download and execute a final backdoor called FlawedAmmyy Remote Access Trojan (RAT). This piece of malware gives attackers full access to the victim’s device, allowing them to steal files, credentials, collect screenshots and access the camera and microphone. macro technology.

File names 86

File names Phishing Libraries IT 86

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 ? s the how, not the what.? New technology. Joining up the firm?s This process is happening.

Artificial Intelligence 40

Artificial Intelligence Unstructured data Data structuring IT 40

Adam Levin

APRIL 8, 2019

These phone numbers are publicly accessible by default, and users have no way of opting out once they’ve provided them. Each of these services have, at a minimum, hundreds of millions of active users, all of them with different security protocols, data structures and network requirements.

Privacy 40

Privacy Artificial Intelligence Data Privacy Passwords 40

eDiscovery Daily

MAY 12, 2022

Now, newer applications like Facebook, Twitter, Slack are storing copious amounts of data ranging from tweets, wall posts, and chats. Many of these artifacts are stored with complementary data that can include file links, reactions (such as “likes”), and even geolocation information. JSON data is no different.

IT 36

IT Data structuring Archiving Access 36

erwin

SEPTEMBER 25, 2020

Understanding the benefits of data modeling is more important than ever. Data modeling is the process of creating a data model to communicate data requirements, documenting data structures and entity types. Top Six Benefits of Data Modeling. Quite simply, you can’t manage what you can’t see.

Data structuring 111

Data structuring Cloud Metadata Financial Services 111

The Texas Record

OCTOBER 19, 2020

You can’t just drag and drop video from a DVD video disk – you will need to have software like the two in the list above that can read the disk’s data structure and repackage the video as a stand-alone file. TIP: It’s best to keep your original tapes safe after digitization just in case you need to access them again in the near future.

Computer and Electronics 52

Computer and Electronics Archiving Digital preservation Data structuring 52

Collibra

APRIL 19, 2023

The properties of a data intelligence ecosystem We can define the properties of a data intelligence ecosystem as: Distributed: contains multiple nodes that are linked together and allow resource sharing Adaptive: changes behavior (architecture, performance etc.) Ready for data intelligence? It is a time of great change.

Cloud 82

Cloud Government Data structuring GDPR 82

erwin

MAY 27, 2020

A data modeling solution should make it possible for business and semantic metadata to be created to augment physical data for ingestion into a data catalog, which provides a mechanism for IT and business users to make use of the metadata or data structures underpinning source systems.

Metadata 98

Metadata Government Data structuring Analytics 98

Enterprise Software Blog

MAY 1, 2023

Creating and manipulating tabular data in web applications can be complex and challenging. In Summary Suppose you’re looking for better ways to create interactive and data-rich grids in your web apps with things like customization, usability, performance, and accessibility.

Data structuring 52

Data structuring Libraries IT Access 52

eSecurity Planet

JULY 28, 2021

Blockchains are unique from other distributed ledger types due to their data structure, sequence, power needs, real-life implementation, and the use of tokens. In the age-old denial of service (DDoS) attack, a fleet of attacker devices can overwhelm an organization’s web server, thus blocking access to legitimate users.

Blockchain 135

Blockchain Cybersecurity Energy and Utilities IoT 135