O'Reilly on Data

JUNE 14, 2024

Will content creators and publishers on the open web ever be directly credited and fairly compensated for their works’ contributions to AI platforms? Generative AI models are trained on large repositories of information and media. Will there be an ability to consent to their participation in such a system in the first place?

Metadata 305

Metadata Publishing Data-driven Modeling 305

AWS Big Data

JANUARY 15, 2025

EUROGATEs data science team aims to create machine learning models that integrate key data sources from various AWS accounts, allowing for training and deployment across different container terminals. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog.

IoT 110

IoT Machine Learning Metadata Data-driven 110

AWS Big Data

DECEMBER 4, 2024

This model balances node or domain-level autonomy with enterprise-level oversight, creating a scalable and consistent framework across ANZ. This strategy supports each division’s autonomy to implement their own data catalogs and decide which data products to publish to the group-level catalog.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. Graph Databases vs Relational Databases.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Rocket-Powered Data Science

MARCH 10, 2020

In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Foreword for the book. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

AWS Big Data

OCTOBER 21, 2024

As a producer, you can also monetize your data through the subscription model using AWS Data Exchange. To achieve this, they plan to use machine learning (ML) models to extract insights from data. Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 109

Data Lake Sales Metadata Machine Learning 109

erwin

JULY 2, 2020

Users discuss how they are putting erwin’s data modeling, enterprise architecture, business process modeling, and data intelligences solutions to work. IT Central Station members using erwin solutions are realizing the benefits of enterprise modeling and data intelligence. Data Modeling with erwin Data Modeler.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

CIO Business Intelligence

APRIL 8, 2025

These strategies, such as investing in AI-powered cleansing tools and adopting federated governance models, not only address the current data quality challenges but also pave the way for improved decision-making, operational efficiency and customer satisfaction. Data fabric Metadata-rich integration layer across distributed systems.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

O'Reilly on Data

DECEMBER 12, 2023

If the output of a model can’t be owned by a human, who (or what) is responsible if that output infringes existing copyright? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model.

Modeling 338

Modeling Sales Software Statistics 338

CIO Business Intelligence

NOVEMBER 15, 2023

One vehicle might be an annual report, one similar to those that have been published for years by public companies—10ks and 10qs and all those other filings by which stakeholders judge a company’s performance, posture, and potential. And don’t just rattle off project metadata. Such a report has a legacy already, if only a short one.

Publishing 124

Publishing Reporting IT Finance 124

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 363

Management Machine Learning Experimentation Metrics 363

AWS Big Data

DECEMBER 17, 2024

We have enhanced data sharing performance with improved metadata handling, resulting in data sharing first query execution that is up to four times faster when the data sharing producers data is being updated. Lakehouse allows you to use preferred analytics engines and AI models of your choice with consistent governance across all your data.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 98

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. 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.

Modeling 98

Modeling Metadata Data Governance Visualization 98

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. SageMaker simplifies the discovery, governance, and collaboration for data and AI across your lakehouse, AI models, and applications.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

erwin

OCTOBER 18, 2019

erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. This graphic was published by Gartner, Inc. GET THE REPORT NOW.

Metadata 63

Metadata Management Reporting Publishing 63

AWS Big Data

JULY 8, 2024

Introduction to OpenLineage compatible data lineage The need to capture data lineage consistently across various analytical services and combine them into a unified object model is key in uncovering insights from the lineage artifact. The following diagram illustrates an example of the Amazon DataZone lineage data model.

Visualization 118

Visualization Metadata Publishing Sales 118

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively.

Metadata 56

Metadata Machine Learning Data Quality Statistics 56

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? Amidst the evolving technological landscape, one constant remains despite the ongoing attacks from nay-sayers: the importance of data modeling as a foundational step in the delivery of data to these forward-thinking organizations. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

AWS Big Data

OCTOBER 4, 2023

An Amazon DataZone domain contains an associated business data catalog for search and discovery, a set of metadata definitions to decorate the data assets that are used for discovery purposes, and data projects with integrated analytics and ML tools for users and groups to consume and publish data assets.

Metadata 118

Metadata Data Lake Publishing Data Governance 118

erwin

JULY 12, 2019

Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage. Activating their metadata to drive agile data preparation and governance through integrated data glossaries and dictionaries that associate policies to enable stakeholder data literacy.

Data Governance 110

Data Governance Management Metadata Risk Management 110

AWS Big Data

APRIL 17, 2024

The following diagram illustrates an indexing flow involving a metadata update in OR1 During indexing operations, individual documents are indexed into Lucene and also appended to a write-ahead log also known as a translog. The replica copies subsequently download newer segments and make them searchable.

Optimization 128

Optimization Snapshot Metadata Cost-Benefit 128

erwin

JUNE 22, 2020

As the 80/20 rule suggests, getting through hundreds, or perhaps thousands of individual business terms using this one-hour meeting model can take … a … long … time. Now that pulling stakeholders into a room has been disrupted … what if we could use this as 40 opportunities to update the metadata PER DAY?

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. It is published by Robert S.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

AWS Big Data

JULY 25, 2024

Instead of a central data platform team with a data warehouse or data lake serving as the clearinghouse of all data across the company, a data mesh architecture encourages distributed ownership of data by data producers who publish and curate their data as products, which can then be discovered, requested, and used by data consumers.

Data Lake 115

Data Lake Metadata Sales Publishing 115

AWS Big Data

OCTOBER 11, 2023

Also, a data model that allows table truncations at a regular frequency (for example, every 15 seconds) to store only relevant data in tables can cause locking and performance issues. Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting.

Management 130

Management Metadata Analytics Dashboards 130

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. of BI pages.

Metadata 98

Metadata Dashboards Informatics Visualization 98

DataKitchen

OCTOBER 11, 2021

The automated orchestration published the data to an AWS S3 Data Lake. Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. Monitoring Job Metadata. Figure 7: the DataKitchen DataOps Platform keeps track of all the instances of a job being submitted and its metadata.

Testing 154

Testing Metadata Dashboards Statistics 154

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. What’s covered in this post is already implemented and available in the Guidance for Connecting Data Products with Amazon DataZone solution, published in the AWS Solutions Library.

Metadata 108

Metadata Data Lake Data Processing Data-driven 108

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

AWS Big Data

FEBRUARY 26, 2025

S3 Tables integration with the AWS Glue Data Catalog is in preview, allowing you to stream, query, and visualize dataincluding Amazon S3 Metadata tablesusing AWS analytics services such as Amazon Data Firehose , Amazon Athena , Amazon Redshift, Amazon EMR, and Amazon QuickSight. connection testing, metadata retrieval, and data preview.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

AWS Big Data

JULY 14, 2023

Defining and capturing a business capability model If an enterprise doesn’t have a system to capture the business capability model, consider defining and finding a way to capture the model for better insight and visibility, and then map it with digital assets like APIs. It keeps evolving with business requirements and usage.

Modeling 97

Modeling Visualization Reporting Measurement 97

AWS Big Data

DECEMBER 5, 2024

Hydro is powered by Amazon MSK and other tools with which teams can move, transform, and publish data at low latency using event-driven architectures. In the future, we plan to profile workloads based on metadata, cross-check them with capacity metrics, and place them in the appropriate MSK cluster.

Metrics 97

Metrics Dashboards Testing Optimization 97

erwin

JANUARY 23, 2025

IDC, BARC, and Gartner are just a few analyst firms producing annual or bi-annual market assessments for their research subscribers in software categories ranging from data intelligence platforms and data catalogs to data governance, data quality, metadata management and more. and/or its affiliates in the U.S.

Metadata 52

Metadata Data Quality Data Governance Software 52

Cloudera

OCTOBER 7, 2021

difficulty to achieve cross-organizational governance model). Data and Metadata: Data inputs and data outputs produced based on the application logic. The Data Governance body designates a Data Product as the Authoritative Data Source (ADS) and its Data Publisher as the Authoritative Provisioning Point (APP).

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124