erwin

JULY 2, 2020

a senior manager, data governance at an insurance company with over 500 employees. She added, “erwin DM does conceptual, logical and physical database or data structure capture and design, and creates a library of such things. We do conceptual data modeling, which is very high-level and doesn’t have columns and tables.

Metadata 122

Metadata Libraries Healthcare Government 122

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 96

Unstructured data Metadata Encryption Data structuring 96

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

IBM Big Data Hub

NOVEMBER 21, 2023

It does not have any visibility of what kind of data are being sent and received, or what data types it might contain. Kafka does not examine the metadata of your messages. One of the functions of Kafka is to decouple consuming and producing applications, so that they communicate via a Kafka topic rather than directly.

Cloud 109

Cloud Data structuring Metadata Communications 109

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 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

IBM Big Data Hub

JANUARY 5, 2023

Monitor and identify data quality issues closer to the source to mitigate the potential impact on downstream processes or workloads. Efficiently adopt data platforms and new technologies for effective data management. Apply metadata to contextualize existing and new data to make it searchable and discoverable.

Metadata 52

Metadata Analytics Big data Unstructured data 52

AIIM

JULY 23, 2020

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. This is also known as metadata enrichment.

Metadata 205

Metadata Data structuring Records Management ROT 205

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

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. Internally, the allocator stores metadata about a free chunk in a Hole struct: /// A block containing free memory. The main interface is: Initialize the heap: init.

Security 52

Security Libraries Data structuring Metadata 52

erwin

MAY 27, 2020

What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling. Provide metadata and schema visualization regardless of where data is stored. Support an all-inclusive environment of collaboration.

Metadata 98

Metadata Government Data structuring Analytics 98

IBM Big Data Hub

OCTOBER 2, 2023

It was equally important that this infrastructure contained consistent metadata and data structures across all entities, preventing data redundancy and streamlining processes. The primary goal in adopting a planning and analytics solution was to link data and processes across departments.

Analytics 95

Analytics Data structuring Manufacturing Metadata 95

ARMA International

SEPTEMBER 22, 2021

IA overlaps many areas of design, such as navigation, user experience, user interface, security model, taxonomy, and metadata. In the past, DM mostly focused on “save, search, and share,” version control, metadata, and permissions. So, extraction is critical to “mining out” very specific information from a particular data structure.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

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

Collibra

MARCH 1, 2022

. “In addition to transforming the business glossary from spreadsheets, we built key integrations to make Collibra the universal metadata repository,” said Vikram. “We have also added collaborative workflows to engage with our business users and keep the business metadata evergreen.”

Metadata 52

Metadata Cloud Government Analytics 52

Collibra

MARCH 1, 2022

. “In addition to transforming the business glossary from spreadsheets, we built key integrations to make Collibra the universal metadata repository,” said Vikram. “We have also added collaborative workflows to engage with our business users and keep the business metadata evergreen.”

Metadata 52

Metadata Cloud Government Analytics 52

ARMA International

SEPTEMBER 13, 2021

Analytics using robotic process automation (RPA) can examine, analyze, and identify unstructured content and auto-classify data based on rules learned by the “AI engine.” When tagging and auto-classifying content, the AI engine can extract metadata to provide context to unstructured content.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

Everteam

MARCH 12, 2019

Much of the data we manage today is semi-structured, so why have separate solutions to manage each one? Making Unstructured Data, Structured. “80% 80% of data is unstructured.” In your efforts to manage your unstructured data, did you know you are actually making unstructured data structured?

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84

eSecurity Planet

AUGUST 13, 2021

This includes deep inspection of hundreds of protocols in a standard three-pane packet browser that encapsulates data structures. When in use, Xplico creates XML files that uniquely identify the flows and pcap contained in each data structure reassembled. DFS Product Capabilities.

e-Discovery 139

e-Discovery Computer and Electronics Marketing Compliance 139

Imperial Violet

JULY 22, 2023

With discoverable credentials comes the need for credential metadata: if the user is going to select their account entirely client-side, then the client needs to know something like a username. So in the FIDO2 model, each credential gets three new pieces of metadata: a username, a user display name, and a user ID.

Authentication 89

Authentication Passwords Metadata Security 89

Scary Beasts Security

MAY 5, 2017

Because the underlying data structure is an array, as opposed to a linked list or double ended queue, adding or removing elements from the front involves copying all the existing elements around. The 24 byte Uint32Array metadata object will go into the hole we just freed. The implementation of this is interesting. Or does it?

Metadata 50

Metadata IT Data structuring Access 50

Scary Beasts Security

DECEMBER 13, 2016

Well, looking at the runtime data structure in Snes_Spc.h , we see this is taken care of with the concept of padding: struct state_t {. So our sole option is to corrupt the 8 byte size + flags value (in red above) that lives between the heap chunks containing the SPC decoder object and the input file data. This will be tough!

IT 34

IT Data structuring Metadata Manufacturing 34

erwin

AUGUST 31, 2023

It delivers the ability to capture and unify the business and technical perspectives of data assets, enables effective collaboration between a variety of stakeholders, and delivers metadata-driven automation to accelerate the creation and maintenance of data sources on virtually any data management platform.

Paper 98

Paper Government Data structuring Metadata 98