erwin

SEPTEMBER 10, 2020

Yet given this era of digital transformation and fierce competition, understanding what data you have, where it came from, how it’s changed since creation or acquisition, and whether it poses any risks is paramount to optimizing its value. Data Lineage Tells an Important Origin Story. Privacy and Compliance Challenges.

Digital transformation 131

Digital transformation Metadata Government Compliance 131

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). Comparing SQL and NoSQL.

Digital transformation 80

Digital transformation Cloud Data structuring Compliance 80

IBM Big Data Hub

DECEMBER 16, 2022

It also serves as a governance tool to drive compliance with data privacy and industry regulations. In other words, a data catalog makes the use of data for insights generation far more efficient across the organization, while helping mitigate risks of regulatory violations. Why IBM Watson Knowledge Catalog?

Metadata 52

Metadata Data Privacy Access Libraries 52

Gimmal

JUNE 10, 2022

It started as a GRC — governance risk and compliance — consulting firm. We can do that both from various repositories and structured data, structured repositories, endpoints and the like. IT teams, and more specifically, legal teams, need to mitigate and manage that risk.

Information governance 52

Information governance Government Privacy Risk 52

Collibra

FEBRUARY 3, 2022

As cloud data storage and advanced analytics become the norm, the quality of data gets critical. Especially when you want your data lake to power trusted analytical results. How poor data quality can lead to bad decisions. The cost of poor data quality is not always measurable.

Metadata 52

Metadata Analytics Unstructured data Government 52

ARMA International

SEPTEMBER 13, 2021

This means imaging the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Part 3 will discuss how to manage the various DT risks. This part will also discuss managing CS risks such as ransomware, privacy, change management, and user adoption. Cloud-First.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

JULY 6, 2023

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. Healthcare companies are using data science for breast cancer prediction and other uses.

Data science 58

Data science Big data Analytics Mining 58

ARMA International

SEPTEMBER 22, 2021

This means imagining the “art of the possible” for a new future using a cloud computing model to deliver transformative change. Part 3 will discuss how to manage the various DT risks. This part will also discuss managing CS risks such as ransomware, privacy, change management, and user adoption. Cloud Enablement.

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. Automate data model and database schema generation.

Data structuring 111

Data structuring Cloud Metadata Financial Services 111

Collibra

APRIL 19, 2023

And the cloud won’t solve the problem of the data deluge. In fact, at the end of 2021, a US financial regulator with 200+ petabytes of storage and 20-30% y/y growth has already pushed their cloud MPP databases beyond compute and storage capacities (2). It’s coming from across the business.

Cloud 82

Cloud Government Data structuring GDPR 82

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. Mold exposure can cause medical issues so don’t risk it at home. Once you have extraction software installed (a.k.a.,

Computer and Electronics 52

Computer and Electronics Archiving Digital preservation Data structuring 52

eSecurity Planet

JULY 28, 2021

At this time, blockchain adoption is most visible in finance, supply-chain management, and cloud services. For these industries and more, data storage, identity management, and smart contracts are applications where blockchains could shine. Decentralized data storage that removes the need for a honeypot. Risk of compromise.

Blockchain 135

Blockchain Cybersecurity Energy and Utilities IoT 135

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

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. Paraben Corporation. Global Digital Forensic.

e-Discovery 139

e-Discovery Computer and Electronics Marketing Compliance 139

IBM Big Data Hub

MARCH 25, 2022

This helps our customers mitigate the risks and costs of managing complex ecosystems of tooling built around the mostly single-host SQL database technologies that existed at the time. The use case of this bank required tracking of portfolio risk using high speed joins of position risk, index and fund composition, and other risk factors.

Analytics 74

Analytics Marketing Cloud Risk 74

IBM Big Data Hub

MARCH 29, 2024

The resolver provides instructions for turning GraphQL queries, mutations, and subscriptions into data, and retrieves data from databases, cloud services, and other sources. Resolvers also provide data format specifications and enable the system to stitch together data from various sources.

Communications 79

Communications Libraries Digital transformation Data structuring 79

eSecurity Planet

OCTOBER 10, 2023

.” In a typical HTTP/2 server implementation, the server “will still have to do significant amounts of work for canceled requests, such as allocating new stream data structures, parsing the query and doing header decompression, and mapping the URL to a resource,” Google said.

Cybersecurity 103

Cybersecurity Data structuring Security Privacy 103

Collibra

MARCH 1, 2022

.” The solution involved the transition to a self-governed cloud native data lake, making all data available in a single place. “We can realize those benefits by modernizing our data ecosystem to a cloud native ecosystem. But what are the risks if you don’t do it right?”

Metadata 52

Metadata Cloud Government Analytics 52

Collibra

MARCH 1, 2022

.” The solution involved the transition to a self-governed cloud native data lake, making all data available in a single place. “We can realize those benefits by modernizing our data ecosystem to a cloud native ecosystem. But what are the risks if you don’t do it right?”

Metadata 52

Metadata Cloud Government Analytics 52

IBM Big Data Hub

JULY 6, 2023

You’ll also need to create a hybrid, AI-ready architecture that can successfully use data wherever it lives—on mainframes, data centers, in private and public clouds and at the edge. Your AI must be trustworthy because anything less means risking damage to a company’s reputation and bringing regulatory fines.

Artificial Intelligence 60

Artificial Intelligence Unstructured data Data structuring Customer Experience 60

erwin

AUGUST 31, 2023

NoSQL databases challenge the dominance of the relational model in certain use cases by offering alternative data models optimized for specific scenarios. 2010s – Cloud Computing and NoSQL: Cloud computing accelerates the adoption of relational databases by providing scalable, managed database services.

Paper 98

Paper Government Data structuring Metadata 98