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 97

Unstructured data Metadata Encryption Data structuring 97

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

erwin

JULY 2, 2020

Examples of business capabilities would be finance, human resources, supply-chain, sales and marketing, and procurement. an EDW architect/data modeler who uses erwin DM at Royal Bank of Canada, works on diverse platforms, including Microsoft SQL Server, Oracle, DB2, Teradata and NoSQL. “We Roshan H.,

Metadata 122

Metadata Healthcare Libraries Government 122

erwin

MAY 14, 2021

Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation).

Digital transformation 80

Digital transformation Cloud Data structuring Compliance 80

Collibra

FEBRUARY 7, 2020

The crisis, which started in the United States as a result of a collapse in the housing market, threatened to destroy the entire international financial system. According to a study conducted by Mckinsey , having an inefficient data architecture is the number one challenge banks face when trying to comply with BCBS-23.

Compliance 69

Compliance Risk Data structuring Marketing 69

CGI

AUGUST 7, 2018

In effect, GDPR has put you in a good position to create your next generation data structures, applications and processes. You may now have cleaner data, and an understanding of where it is, and hopefully, how it’s used. Security and good data management is marketable. Management awareness and interest.

Privacy 40

Privacy GDPR Unstructured data Marketing 40

Security Affairs

MAY 7, 2020

Infostealer market is one of the most remunerative for cyber criminals, information gathered from infected systems could be resold in the cybercrime underground or used for credential stuffing attacks. Introduction. Nowadays, info-stealer is one of the most common threats.

Data structuring 103

Data structuring IT Marketing Security 103

Reltio

NOVEMBER 9, 2019

I look at all of those and behind each one I say: “OK it’s not going to work without master data”. For example, you’re not going to get IoT to work across organisations and devices without having a common data structure. It always comes back to this foundational, structural data and the challenge is, it’s not very sexy.

MDM 40

MDM Marketing Big data Cloud 40

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. So, there is increasing competitive pressure in the financial services market.

Financial Services 40

Financial Services Digital transformation Marketing Data structuring 40

ARMA International

SEPTEMBER 13, 2021

Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently to customers. Content Marketing Platforms (CMP). Closely related to a CSP is a CMP used by an organization’s marketing team. Content Services (CS). This allows a faster, more efficient solution” (CDP 2021).

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

CGI

SEPTEMBER 25, 2018

In effect, GDPR has put you in a good position to create your next-generation data structures, applications and processes. You may now have cleaner data, and an understanding of where it is, and hopefully, how it’s used. Security and good data management is marketable. It can save money in the long term.

Privacy 40

Privacy GDPR Cybersecurity Unstructured data 40

Reltio

APRIL 23, 2019

I look at all of those and behind each one I say: “OK it’s not going to work without master data”. For example you’re not going to get IoT to work across organisations and devices without having a common data structure. It always comes back to this foundational, structural data and the challenge is, it’s not very sexy.

MDM 40

MDM Marketing Big data Cloud 40

eDiscovery Daily

NOVEMBER 11, 2019

A data lake is an architecture for storing high-volume, high-velocity, high-variety, as-is data in a centralized repository for Big Data and real-time analytics. 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.

Analytics 59

Analytics Big data Data structuring Metadata 59

Gimmal

JUNE 10, 2022

Reinventing Professionals , a podcast hosted by industry analyst, Ari Kaplan , shares ideas, guidance, and perspectives from market leaders shaping the next generation of legal and professional services. We can do that both from various repositories and structured data, structured repositories, endpoints and the like.

Information governance 52

Information governance Government Privacy Risk 52

IBM Big Data Hub

JULY 6, 2023

The company made its data open-source, and trains and empowers employees to take advantage of data-driven insights. A major online media company uses data science to develop personalized content, enhance marketing through targeted ads and continuously update music streams, among other automation decisions.

Data science 57

Data science Big data Analytics Mining 57

ARMA International

SEPTEMBER 22, 2021

Another example is when sensitive information is removed from transaction data after meeting operational requirements, but the data is kept for analytical processing such as market research and trend analysis. Leveraging a cloud-first approach also allows organizations to deliver new market-leading solutions more expediently.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Security Affairs

OCTOBER 4, 2019

When a thread that uses epoll explicitly exits using BINDER_THREAD_EXIT, the waitqueue is freed, but it is never removed from the corresponding epoll data structure. . “As described in the upstream commit: “binder_poll ( ) passes the thread->wait waitqueue that can be slept on for work.

Cleanup 22

Cleanup Data structuring Access Security 22

CGI

NOVEMBER 26, 2014

As the aviation market changes one of the major challenges will be how to make services and infrastructure more adaptive and responsive. This new connected IoT world supported by new commercial models for data storage, integration and visualisation could see the remote control tower become a reality.

IoT 40

IoT Data structuring Communications Analytics 40

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. s those kinds of questions you can get to. New people.

Artificial Intelligence 40

Artificial Intelligence Unstructured data Data structuring IT 40

IBM Big Data Hub

APRIL 5, 2024

Market drivers, regulatory requirements, sustainability goals and resource constraints define the project portfolio and priorities for execution. An industry-standard data model A uniform data model is necessary to get a full view of combined systems with information flowing across the ecosystem.

Energy and Utilities 69

Energy and Utilities Data structuring Risk Marketing 69

Adam Levin

APRIL 8, 2019

The problem here is that we’re not dealing with a company that releases reliable information (that isn’t associated with their users as marketing targets). 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

eSecurity Planet

AUGUST 13, 2021

For everything from minor network infractions to devastating cyberattacks and data privacy troubles , digital forensics software can help clean up the mess and get to the root of what happened. This includes deep inspection of hundreds of protocols in a standard three-pane packet browser that encapsulates data structures.

e-Discovery 134

e-Discovery Computer and Electronics Marketing Compliance 134

Enterprise Software Blog

OCTOBER 4, 2023

Here are the key low-code ROI metrics to consider: IT expenditure Time-to-market Productivity Adoption and users IT output Digital transformation benchmarks Stress factors Let’s discuss each one in detail. Take advantage of an environment for visually defining the UIs, workflows, and data models of your application.

Digital transformation 59

Digital transformation Marketing IT Data structuring 59

Collibra

APRIL 19, 2023

Ready for data intelligence? And this will drive new technologies, new experiences, and require new data structures. The complexities your business faces in today’s data-driven world won’t get any easier. With this plan, you can start seeing real business value within 2-6 weeks. It is a time of great change.

Cloud 95

Cloud Government Data structuring GDPR 95

IBM Big Data Hub

JULY 6, 2023

Defining and quantifying adherence to principles As mentioned above, the BRSR is based on nine principles defined in the BRR but clarifies and adds detail regarding which companies must report (the top 1,000 NSE listed companies by market capitalization) and what they must report (various kinds of disclosures).

Insurance 53

Insurance Government Data structuring Communications 53

IBM Big Data Hub

MARCH 25, 2022

Nikita Shamgunov (Co-Founder of SingleStore) and I were seeing the signals in the market. For example, their applications ingest market data, ticker traffic, internal data, and other proprietary data streams to support banking needs. Interestingly these needs were not just for banking.

Analytics 72

Analytics Marketing Cloud Risk 72

Reltio

DECEMBER 2, 2020

At Reltio, we’re on a mission to enable digital transformation by delivering a single source of truth for enterprise data designed for the digital experience economy. We disrupted the master data management (MDM) software market when we launched the first cloud-native MDM software-as-a-service (SaaS) platform.

MDM 78

MDM Data migration Digital transformation Customer Experience 78

CGI

APRIL 22, 2019

Indeed, blockchain’s distributed data structure results in a significantly higher storage demand compared to traditional centralized databases. However, central systems often suffer from a lack of trust, resulting in “hidden” data silos and often additional labor costs. BY : Sjors Hijgenaar and Adriaan Bijl.

Blockchain 64

Blockchain Energy and Utilities Data structuring Government 64

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

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. Given the inherent risk and volatility of the cryptocurrency market, it’s fair to say most enterprises are sitting this one out.

Blockchain 134

Blockchain Cybersecurity Energy and Utilities IoT 134

Collibra

MARCH 1, 2022

At the core of designing a well-governed data lake is the requirement that the new data ecosystem will deliver ongoing relevance and value creation. It should drive creativity, innovation, and reduce the time to market for new products. . “Next, we built the cloud onboarding solution with Collibra in the front.

Metadata 52

Metadata Cloud Government Analytics 52

Collibra

MARCH 1, 2022

At the core of designing a well-governed data lake is the requirement that the new data ecosystem will deliver ongoing relevance and value creation. It should drive creativity, innovation, and reduce the time to market for new products. . “Next, we built the cloud onboarding solution with Collibra in the front.

Metadata 52

Metadata Cloud Government Analytics 52

John Battelle's Searchblog

NOVEMBER 17, 2013

In milliseconds, scores of agents execute thousands of calculations based on hundreds of parameters, all looking to market-price the value of that request and deliver a personalized response. Is it based on principles of openness, or is it driven by business rules and data-structures which favor closed platforms?

Retail 112

Retail Insurance Data structuring IT 112

Robert's Db2

DECEMBER 30, 2016

I was with IBM when DB2 was introduced to the market. If you go to one of your organization's data scientists and say, "There is some data on the mainframe that could probably yield for you some valuable insights," you might get, in response, "Thanks, but I don't know anything about mainframe systems."

Analytics 48

Analytics Access Cloud Data structuring 48

John Battelle's Searchblog

DECEMBER 26, 2018

Google united the Internet, codifying (and sharing) a data structure that everyone could build upon. In the past month, I’ve read draft policy papers suggesting we tax the Internet’s advertising model, that we break up Google, Facebook, and Amazon, or that we back off and just let the market “do its work.”

Data structuring 102

Data structuring Marketing IT Paper 102