erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

OCTOBER 8, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (APIs), file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

DECEMBER 4, 2024

With improved access and collaboration, you’ll be able to create and securely share analytics and AI artifacts and bring data and AI products to market faster. Having confidence in your data is key.

Data Analytics 85

Data Analytics Analytics Data Lake Data Quality 85

CIO Business Intelligence

SEPTEMBER 23, 2024

Trustworthy data is essential for the energy industry to overcome these challenges and accelerate the transition toward digital transformation and sustainability. Specifically, what the DCF does is capture metadata related to the application and compute stack.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

Jen Stirrup

MARCH 29, 2023

However, to turn data into a business problem, organizations need support to move away from technical issues to start getting value as quickly as possible. SAP Datasphere simplifies data integration, cataloging, semantic modeling, warehousing, federation, and virtualization through a unified interface. Why is this interesting?

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Further, data management activities don’t end once the AI model has been developed.

Data Governance 145

Data Governance IT Risk Data Lake 145

Ontotext

JUNE 3, 2020

Knowledge graph technology can walk us out of the lack of context (which is basically absence of proper interlinking) and towards enriching digital representation of collection with semantic data and further interlinking it into a meaningful constellation of items. LODAC Museum’s Linked Open Data for Academia.

Contextual Data 98

Contextual Data Metadata Digital Transformation Visualization 98

Data Virtualization

MARCH 28, 2024

Reading Time: 2 minutes The financial industry is in the midst of a profound digital transformation. As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. Unfortunately, most financial organizations have some catching up to do in this regard.

Finance 69

Finance Digital Transformation Analytics Data Integration 69

CIO Business Intelligence

APRIL 27, 2022

All are ideally qualified to help their customers achieve and maintain the highest standards for data integrity, including absolute control over data access, transparency and visibility into the provider’s operation, the knowledge that their information is managed appropriately, and access to VMware’s growing ecosystem of sovereign cloud solutions.

Digital Transformation 111

Digital Transformation Metadata Risk Enterprise 111

Grooper

MARCH 5, 2020

These stewards monitor the input and output of data integrations and workflows to ensure data quality. Their focus is on master data management , data lakes / warehouses, and ensuring the trackability of data using audit trails and metadata. How to Get Started with Information Stewardship.

Data Lake 98

Data Lake Metadata Data Quality Software 98

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Cloudera

JUNE 25, 2019

Cloudera Data Platform. First-of-its-kind enterprise data cloud. Data is recognized as the fuel powering enterprise digital transformation. But companies often struggle to get control of and manage their most important business asset, particularly when data is spread across multi-cloud and hybrid environments.

Enterprise 87

Enterprise Machine Learning Recreation/Entertainment IoT 87

AWS Big Data

OCTOBER 11, 2023

The data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis. Data analysis – In this stage, the files are transformed using AWS Glue and stored in the AWS Glue Data Catalog.

Visualization 110

Visualization Dashboards Data-driven Gap analysis 110

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Data integration.

Data-driven 56

Data-driven Enterprise Data Governance Data Science 56

Alation

DECEMBER 15, 2022

March 2015: Alation emerges from stealth mode to launch the first official data catalog to empower people in enterprises to easily find, understand, govern and use data for informed decision making that supports the business. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

Octopai

FEBRUARY 26, 2024

A Strategic Approach to Data Cleansing With Octopai’s automated data lineage, data cleansing transcends its traditional role, becoming a strategic endeavor that drives efficiency, ensures data integrity, and unlocks business insights.

Metadata 52

Metadata ROI Optimization Data-driven 52

Alation

FEBRUARY 13, 2020

IDC Innovators: Data Intelligence Software Platforms, 2019 Report. In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.

Machine Learning 52

Machine Learning Big Data Data Governance Metadata 52

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. Enterprises generate an enormous amount of data and content every minute. How can you build knowledge graphs for enterprise applications?

Enterprise 52

Enterprise Metadata Digital Transformation Data Integration 52

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). erwin Data Intelligence by Quest combines data catalog and data literacy capabilities for enterprise-wide visibility of available data assets, guidance on their use, and guardrails to ensure data policies and best data practices are followed.

Data Governance 52

Data Governance Data Warehouse Metadata Digital Transformation 52

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

Ontotext

MAY 16, 2024

This includes defining the underlying drivers (cost containment, process automation, flexible query, regulatory compliance, governance simplification) and prioritizing use cases (data integration, digitalization, enterprise search, lineage traceability, cybersecurity, access control).

Enterprise 52

Enterprise Data-driven Cost-Benefit Business Objectives 52

Ontotext

FEBRUARY 26, 2024

This happenstance approach may eventually get organizations to a reasonable data maturity level but at massive costs. Until C-level executives start to take graph technologies more seriously, they will struggle to deliver on the promises of their digital transformations and become data-driven.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

Alation

FEBRUARY 13, 2020

In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. Enabling workers to find the right data is crucial to promoting self-service analytics.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

Alation

APRIL 14, 2023

Last week, the Alation team had the privilege of joining IT professionals, business leaders, and data analysts and scientists for the Modern Data Stack Conference in San Francisco. This presents both challenges and opportunities for modern businesses.

Data Warehouse 52

Data Warehouse Data-driven Metadata Digital Transformation 52

CIO Business Intelligence

JANUARY 30, 2025

In 2025, data management is no longer a backend operation. As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. It has become a strategic cornerstone for shaping innovation, efficiency and compliance.

Management 113

Management Data-driven Data Governance Unstructured Data 113

CIO Business Intelligence

JANUARY 16, 2025

As IT professionals and business decision-makers, weve routinely used the term digital transformation for well over a decade now to describe a portfolio of enterprise initiatives that somehow magically enable strategic business capabilities. edge compute data distribution that connect broad, deep PLM eco-systems.

Enterprise 105

Enterprise Digital Transformation Scorecard Interactive 105

AWS Big Data

OCTOBER 25, 2024

The metadata of the YARN metrics collected in Amazon S3 is created, stored, and represented as database and tables in AWS Glue Data Catalog , which is in turn available to Amazon Athena for further processing. The solution needs Athena to run queries against the data from the CUR using standard SQL.

Metrics 85

Metrics Cost-Benefit Reporting Optimization 85

Ontotext

AUGUST 21, 2024

data integration, digitalization, enterprise search, lineage traceability, cybersecurity, access control). To ensure meaningful data connections even further, Gartner advises enterprises to leverage semantic metadata as the core for facilitating data connections.

Knowledge Discovery 52

Knowledge Discovery Cost-Benefit Data-driven Metadata 52