IBM Big Data Hub

SEPTEMBER 6, 2018

Imagine a searchable data management system that would enable you to review crowdsourced, categorized and classified data. Consider that this system would apply to all types of data — structured and unstructured — and become more robust as more users analyze it.

Data structuring 49

Data structuring Government IT 49

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

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 Government 84

Interactive Information Management

MARCH 25, 2014

But that's what's happening all over, isn't it, driven by consumer demand on their iPhones - mashing and manipulating information that's managed to leak through the risk-adverse, highly-regulated mantle of the government's secure data cocoon, and instantly sharing it for further rendering, visualization or actual, productive use.

Government 45

Government Data structuring Risk Access 45

erwin

MAY 27, 2020

Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management. A single source of data truth helps companies begin to leverage data as a strategic asset.

Metadata 98

Metadata Government Data structuring Analytics 98

Gimmal

JUNE 10, 2022

Craig Carpenter and Dean Gonsowski , Gimmal’s CEO and CRO respectively, spoke with Ari about information discovery, migration, governance, and compliance, and how Gimmal helps organization address their biggest information governance challenges. It started as a GRC — governance risk and compliance — consulting firm.

Information governance 52

Information governance Government Privacy Risk 52

Collibra

JULY 15, 2024

Poor data quality doesn’t just mean mistakes—it means mistakes at lightning speed.” ” – Kirk Haslbeck, Founder of Collibra Data Quality, Inventor of Automated Rules State and local governments (SLED) are leveraging AI to enhance public safety, streamline operations, and improve citizen services.

Government 81

Government Artificial Intelligence Data structuring Risk 81

Troy Hunt

MAY 29, 2024

That link provides an excellent over so start there then come back to this blog post which adds some insight into the data and explains how HIBP fits into the picture. So, what can you do if you find your data in this incident?

Passwords 129

Passwords Data structuring Data breaches IT 129

Collibra

FEBRUARY 18, 2022

.” 2020 Trends in the Data Management, Dataversity. Organizations need metadata management in their data management practice because there is: . Increasing need for data governance, regulatory and compliance requirements and data enablement. Data engineers work with technical metadata and data type standards.

Metadata 98

Metadata IT Government Sales 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 88

Analytics Data structuring Manufacturing Metadata 88

Collibra

APRIL 19, 2023

As a system of record for data, Collibra streamlines enterprise data by providing data citizens comprehensive visibility of all available data with full business context. The result: data professionals can analyse, govern and share data better and faster. Ready for data intelligence?

Cloud 98

Cloud Government Data structuring GDPR 98

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. Centralized data governance. Conclusion.

Blockchain 64

Blockchain Energy and Utilities Data structuring Government 64

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.

e-Discovery 138

e-Discovery Computer and Electronics Marketing Compliance 138

erwin

MAY 14, 2021

As the data modeling industry leader, erwin has identified a critical success factor for the majority of organizations adopting a NoSQL platform like Couchbase, Cassandra and MongoDB. 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

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. Permissioned blockchains, or private blockchains,aren’t truly decentralized because they’re organized by a governance structure and authentication process for nodes.

Blockchain 136

Blockchain Cybersecurity Energy and Utilities IoT 136

IBM Big Data Hub

MAY 20, 2024

Quantum computing is a new kind of computer processing technology that relies on the science that governs the behavior of atoms to solve problems that are too complex or not practical for today’s fastest supercomputers. They broadly fall into three buckets: Advanced mathematics and complex data structures.

Energy and Utilities 94

Energy and Utilities Artificial Intelligence Data structuring Analytics 94

IBM Big Data Hub

NOVEMBER 21, 2023

This allows them to each work at their own speed, but they still need to agree upon the same data structure; otherwise, the consuming applications have no way to deserialize the data they receive back into something with meaning. The applications all need to share the same assumptions about the structure of the data.

Cloud 96

Cloud Data structuring Metadata Communications 96

IBM Big Data Hub

APRIL 27, 2023

While many organizations have established environmental, social and governance (ESG) goals and made ESG commitments, driven by purpose and emerging regulatory requirements, they face several challenges when making the transition from ambition to action. 94% more of Enabled believe ERPs are helping manage manufacturing sustainability goals.

Data structuring 79

Data structuring Manufacturing Access Government 79

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

IBM Big Data Hub

APRIL 5, 2024

Monitoring energy efficiency and greenhouse gas or fugitive emissions can directly contribute to environmental, social and governance (ESG) reporting, helping to manage and reduce the carbon footprint. Technical, financial, geographical, operational and transactional data attributes are all parts of a data structure.

Energy and Utilities 64

Energy and Utilities Data structuring Risk Marketing 64

ForAllSecure

JANUARY 28, 2021

The US government has published a software library called six-library designed to parse and manipulate satellite imagery and data for both internal and public use. One thing is for sure, this code is likely used in both government and private code bases and this particular bug has been lying unknown (hopefully!)

Libraries 52

Libraries Data structuring Government IT 52

ForAllSecure

JANUARY 28, 2021

The US government has published a software library called six-library designed to parse and manipulate satellite imagery and data for both internal and public use. One thing is for sure, this code is likely used in both government and private code bases and this particular bug has been lying unknown (hopefully!)

Libraries 52

Libraries Data structuring Government IT 52

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 98

Unstructured data Metadata Encryption Data structuring 98

John Battelle's Searchblog

OCTOBER 18, 2011

If there was a theme to Day One at Web 2 Summit , it was this: We have to start taking control of our own identity and data. But also because of the value and benefits that will accrue to us and to society in a culture that values individual control of data. no matter where it lives; etc.

Mining 111

Mining Data structuring IT Communications 111

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 Government 52

Collibra

NOVEMBER 5, 2020

.” 2020 Trends in the Data Management, Dataversity. Organizations need metadata management in their data management practice because there is: . Increasing need for data governance, regulatory and compliance requirements and data enablement. Data engineers work with technical metadata and data type standards.

Metadata 59

Metadata Government Privacy Sales 59

IBM Big Data Hub

JANUARY 5, 2023

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. Decide on the changes that will optimize your data for achieving your business objectives. Deciding on KPIs to gauge a data architecture’s effectiveness.

Metadata 52

Metadata Analytics Big data Unstructured data 52

CGI

JULY 19, 2018

Navigating the Federal Data Strategy. The federal government is entering an era where data analysis is taking on even greater importance at the same time emerging technologies such as intelligent automation (IA) are enabling better and faster analysis work. Analytics analysis is already occurring with the DATA Act legislation.

Analytics 40

Analytics Government Digital transformation Data structuring 40

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 Government Unstructured data 52

Collibra

DECEMBER 18, 2020

With streamlined, contextual discovery and natural language search, you can efficiently shop for trusted data to drive reliable business outcomes. Active metadata graphs help enterprises break organizational and data silos to get to outcomes fast. Data stewards link physical data assets (e.g.

Metadata 72

Metadata Sales Access Data structuring 72

Collibra

MARCH 1, 2022

To help manage this colossal wealth of data, Freddie Mac turned to Collibra as their one-stop shop for data, particularly relying on Collibra for their intake process, business glossary and data lineage needs. Vikram Chopra is the Senior Manager, Single-Family, Data & Decisions at Freddie Mac.

Metadata 52

Metadata Cloud Government Analytics 52

Collibra

MARCH 1, 2022

To help manage this colossal wealth of data, Freddie Mac turned to Collibra as their one-stop shop for data, particularly relying on Collibra for their intake process, business glossary and data lineage needs. Vikram Chopra is the Senior Manager, Single-Family, Data & Decisions at Freddie Mac.

Metadata 52

Metadata Cloud Government Analytics 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. So, register now and get ready for new data intelligence, governance and operations strategies to maximize the business impact of your data.

Cloud 52

Cloud Data structuring Government IT 52

Reltio

DECEMBER 2, 2020

High Performance, Highly Available Real-time Services and Mastering: Customer master data needs to connect every critical system from initial entry or sign up through marketing, sales, billing and fulfillment to deliver omnichannel connected customer experiences. Data governance and data steward teams. Project manager.

MDM 78

MDM Data migration Digital transformation Customer Experience 78

IBM Big Data Hub

JULY 6, 2023

India’s Business Responsibility and Sustainability Report (BRSR)—a framework for environmental, social and governance (ESG) reporting—comes into effect in 2023. This data can be sliced and diced to align to the needs of multiple reporting frameworks as required.

Insurance 50

Insurance Government Data structuring Communications 50

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

IBM Big Data Hub

JULY 6, 2023

Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more.

Data science 54

Data science Big data Analytics Mining 54