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. This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

O'Reilly on Data

JUNE 14, 2024

Generative AI models are trained on large repositories of information and media. They are then able to take in prompts and produce outputs based on the statistical weights of the pretrained models of those corpora. In essence, the latest O’Reilly Answers release is an assembly line of LLM workers.

Metadata 306

Metadata Publishing Data-driven Modeling 306

AWS Big Data

MAY 20, 2025

Enable Amazon Bedrock large language model (LLM) access for Amazon Nova Pro. For instructions, refer to Creating a general purpose bucket. Then complete the following steps to enable model access in Amazon Bedrock: On the Amazon Bedrock console, in the navigation pane, choose Model access. Choose Enable specific models.

Structured Data 101

Structured Data Data Warehouse Analytics Finance 101

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

AWS Big Data

NOVEMBER 19, 2024

Solution overview By combining the powerful vector search capabilities of OpenSearch Service with the access control features provided by Amazon Cognito , this solution enables organizations to manage access controls based on custom user attributes and document metadata. Refer to Service Quotas for more details.

Management 98

Management Metadata Manufacturing Testing 98

Domino Data Lab

JANUARY 11, 2021

Even for experienced developers and data scientists, the process of developing a model could involve stringing together many steps from many packages, in ways that might not be as elegant or efficient as one might like. the experience is still rooted in the same goal: simple efficiency for the whole model development lifecycle.

Modeling 145

Modeling Metrics Data Science Testing 145

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

Rocket-Powered Data Science

MARCH 10, 2020

The book is awesome, an absolute must-have reference volume, and it is free (for now, downloadable from Neo4j ). And this: perhaps the most powerful node in a graph model for real-world use cases might be “context”. How does one express “context” in a data model? Graph Algorithms book.

Metadata 250

Metadata Machine Learning Prescriptive Analytics Marketing 250

O'Reilly on Data

DECEMBER 19, 2018

We need to do more than automate model building with autoML; we need to automate tasks at every stage of the data pipeline. There is no GitHub for data, though we are starting to see version control projects for machine learning models, such as DVC. Automation is more than model building. Toward a sustainable ML practice.

Machine Learning 279

Machine Learning Software Metadata Testing 279

AWS Big Data

NOVEMBER 19, 2024

Additionally, customers adopting a federated deployment model find it challenging to provide isolated environments for different teams or departments, and at the same time optimize cost. Refer to Amazon Managed Workflows for Apache Airflow Pricing for rates and more details. The introduction of mw1.micro

Metadata 109

Metadata Cost-Benefit Metrics Optimization 109

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. In this post: What Is a Data Model? Why Is Data Modeling Important? What’s the Best Data Modeling Tool?

Modeling 111

Modeling Cost-Benefit Visualization Data Warehouse 111

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 113

Sales Data-driven Data Processing Key Performance Indicator 113

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 102

Data Analytics Analytics Data Lake Data Quality 102

O'Reilly on Data

MARCH 23, 2023

It’s important to understand that ChatGPT is not actually a language model. It’s a convenient user interface built around one specific language model, GPT-3.5, is one of a class of language models that are sometimes called “large language models” (LLMs)—though that term isn’t very helpful. with specialized training.

IT 349

IT Modeling Testing Risk 349

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

MAY 2, 2025

This template requires us to select a text embedding model. The ingest flow includes a ML Inference Ingest Processor , which generates machine learning (ML) model outputs such as embeddings (vectors) as your data is ingested into OpenSearch. Well use Amazon Bedrock Titan Text, which was deployed as a prerequisite. respectively.

Machine Learning 85

Machine Learning Visualization Dashboards Metadata 85

CIO Business Intelligence

SEPTEMBER 19, 2024

This enables companies to directly access key metadata (tags, governance policies, and data quality indicators) from over 100 data sources in Data Cloud, it said. Additional to that, we are also allowing the metadata inside of Alation to be read into these agents.”

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

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. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

Management 130

Management Metadata Analytics Dashboards 130

AWS Big Data

APRIL 24, 2025

Charlie, being an open source Apache Spark contributor, is excited that he can build Spark based processing with Amazon EMR to build ML forecasting models. Ava defines the user attributes as static IAM tags that could also include attributes stored in the identity provider (IdP) or as session tags dynamically to represent the user metadata.

Sales 86

Sales Data Lake Management Data-driven 86

erwin

JULY 17, 2019

Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy. Ultimately, data is the foundation of the new digital business model.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

AWS Big Data

FEBRUARY 29, 2024

Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. Enterprises are doing this by using proprietary data with approaches like Retrieval Augmented Generation (RAG), fine-tuning, and continued pre-training with foundation models.

Data Governance 122

Data Governance Unstructured Data Metadata Data Lake 122

erwin

JANUARY 3, 2020

While these will remain big data governance trends for 2020, we anticipate organizations will finally begin tapping into the true value of data as the foundation of the digital business model. Data Modeling: Drive Business Value and Underpin Governance with an Enterprise Data Model.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

datapine

SEPTEMBER 29, 2022

Data quality refers to the assessment of the information you have, relative to its purpose and its ability to serve that purpose. While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. But in the case of unstructured data, metadata discovery is challenging because the raw data isn’t easily readable. A metadata layer helps build the relationship between the raw data and AI extracted output.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

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 117

Visualization Metadata Publishing Sales 117

AWS Big Data

DECEMBER 10, 2024

To learn more about this process, refer to Enabling SAML 2.0 In the Create function pane, provide the following information: For Select a template , choose v2 Programming Model. For Programming Model , choose the HTTP trigger template. From there, the user can access the Redshift Query Editor V2. choose Next.

Sales 104

Sales Metadata Enterprise Testing 104

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Data scientists are experts in applying computer science, mathematics, and statistics to building models.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Ontotext

FEBRUARY 16, 2023

This data can then be easily analyzed to provide insights or used to train machine learning models. Ontotext’s approach is to optimize models and algorithms through human contribution and benchmarking in order to create better and more accurate AI. What Are The Benefits Of Using Ontotext Metadata Studio?

Metadata 59

Metadata Measurement Metrics Modeling 59

AWS Big Data

JULY 14, 2023

To collect that information, Bob gets in touch with the head of each department, who in turn refer him to their development leads, who in turn give him a bunch of technical documents that explain how APIs are being used. The model should be able to showcase to LOBs their categories and capabilities.

Modeling 96

Modeling Visualization Reporting Measurement 96

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

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. There are more than 80 million pages with semantic, machine interpretable metadata , according to the Schema.org standard. Take this restaurant, for example.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

CIO Business Intelligence

MARCH 24, 2023

The Data Governance Institute defines it as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

DataKitchen

OCTOBER 20, 2023

’ It assigns unique identifiers to each data item—referred to as ‘payloads’—related to each event. Payload DJs facilitate capturing metadata, lineage, and test results at each phase, enhancing tracking efficiency and reducing the risk of data loss.

Insurance 173

Insurance Metadata Data-driven Data Quality 173

AWS Big Data

JUNE 17, 2024

Backup and restore architecture The backup and restore strategy involves periodically backing up Amazon MWAA metadata to Amazon Simple Storage Service (Amazon S3) buckets in the primary Region. Refer to the detailed deployment steps in the README file to deploy it in your own accounts. The steps are as follows: [1.a]

Strategy 109

Strategy Metadata Recreation/Entertainment Metrics 109

Alation

FEBRUARY 20, 2020

Gartner predicts that “By 2020, 50% of information governance initiatives will be enacted with policies based on metadata alone.”. Magic Quadrant for Metadata Management Solutions , Guido de Simoni and Roxane Edjlali, August 10, 2017. Metadata management no longer refers to a static technical repository.

Metadata 52

Metadata Management Data-driven Data Governance 52

erwin

OCTOBER 4, 2021

Metadata management is essential to becoming a data-driven organization and reaping the competitive advantage your organization’s data offers. Gartner refers to metadata as data that is used to enhance the usability, comprehension, utility or functionality of any other data point. How the data has changed.

Metadata 52

Metadata Software Management Visualization 52

AWS Big Data

APRIL 2, 2024

We also detail how the feature works and what criteria was applied for the model and prompt selection while building on Amazon Bedrock. Solution overview The AI recommendations feature in Amazon DataZone was built on Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models.

Metadata 109

Metadata Metrics Data-driven Contextual Data 109