Ontotext

MARCH 19, 2021

way we package information has a lot to do with metadata. The somewhat conventional metaphor about metadata is the one of the library card. This metaphor has it that books are the data and library cards are the metadata helping us find what we need, want to know more about or even what we don’t know we were looking for.

Metadata 124

Metadata Publishing Enterprise Management 124

DataKitchen

FEBRUARY 20, 2025

Were thrilled to unveil TestGen Enterprise V3 , the latest evolution in Data Quality automation, featuring Data Quality Scoring. Better Metadata Management Add Descriptions and Data Product tags to tables and columns in the Data Catalog for improved governance. DataOps just got more intelligent.

Data Quality 195

Data Quality Scorecard Testing Dashboards 195

Ontotext

JUNE 10, 2021

This is a graph of millions of edges and vertices – in enterprise data management terms it is a giant piece of master/reference data. Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. open-world vs. closed-world assumptions).

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

CIO Business Intelligence

FEBRUARY 27, 2025

A high hurdle many enterprises have yet to overcome is accessing mainframe data via the cloud. These tools dont have the necessary connectors, metadata relationships, or lineage mapping that spans both mainframe and cloud environments. This presents a lack of visibility in the metadata lineage spanning across mainframe and cloud data.

Metadata 98

Metadata Data Lake Cost-Benefit Forecasting 98

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Icebergs table format separates data files from metadata files, enabling efficient data modifications without full dataset rewrites.

Metadata 111

Metadata Snapshot Cost-Benefit Optimization 111

erwin

NOVEMBER 28, 2019

Enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”.

Enterprise 145

Enterprise Data-driven Data Governance Metadata 145

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Two of the biggest challenges in creating a successful enterprise architecture initiative are: collecting accurate information on application ecosystems and maintaining the information as application ecosystems change. It’s time to think about EA beyond IT.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

O'Reilly on Data

FEBRUARY 11, 2020

These include the basics, such as metadata creation and management, data provenance, data lineage, and other essentials. The top-line good news is that people at all levels of the enterprise seem to be alert to the importance of data quality. Disorganized data stores and lack of metadata” is fundamentally a governance issue.

Data Quality 342

Data Quality Metadata Data Governance Publishing 342

AWS Big Data

NOVEMBER 7, 2024

Amazon Q generative SQL for Amazon Redshift uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights.

Metadata 105

Metadata Sales Data Warehouse Optimization 105

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. What could be faster and easier than on-prem enterprise data sources? using high-dimensional data feature space to disambiguate events that seem to be similar, but are not).

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

NOVEMBER 19, 2024

The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows.

Management 116

Management Unstructured Data Deep Learning Metadata 116

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . Let’s dig into the first two and then look at the role of enterprise architects and how to ensure your EA tools are up to the tasks ahead.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 94

Metadata Data Governance Metrics Marketing 94

AWS Big Data

NOVEMBER 29, 2023

Eightfold is a leader in AI products for enterprises to build on their talent’s existing skills. The Eightfold Talent Intelligence Platform integrates with Amazon Redshift metadata security to implement visibility of data catalog listing of names of databases, schemas, tables, views, stored procedures, and functions in Amazon Redshift.

Metadata 111

Metadata Data Warehouse Analytics Data Analytics 111

erwin

MARCH 17, 2020

Here are a few examples specific to enterprise architecture and business process modeling, data modeling and data governance. Enterprise Architecture & Business Process Modeling. erwin Data Modeler can help you find, visualize, design, deploy and standardize high-quality enterprise data assets. No problem. Data Governance.

Data Governance 138

Data Governance Enterprise Modeling Metadata 138

Ontotext

JULY 29, 2021

And what are the commercial implications of semantic technologies for enterprise data? KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

AWS Big Data

DECEMBER 10, 2024

The configuration of federation between Microsoft Entra ID and IAM to enable seamless access to Amazon Redshift through a SQL client such as the Redshift Query Editor V2 involves the following main components: Users start by authenticating with their Microsoft Entra ID credentials by accessing the enterprise applications user access URL.

Sales 105

Sales Metadata Enterprise Testing 105

AWS Big Data

NOVEMBER 11, 2024

For example, you can use metadata about the Kinesis data stream name to index by data stream ( ${getMetadata("kinesis_stream_name") ), or you can use document fields to index data depending on the CloudWatch log group or other document data ( ${path/to/field/in/document} ).

Metadata 121

Metadata Metrics Analytics Data Processing 121

AWS Big Data

NOVEMBER 19, 2024

In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona. In our solution, we manage the access on the document level according to the assigned metadata. If you don’t already have an AWS account, you can create one.

Management 98

Management Metadata Manufacturing Testing 98

AWS Big Data

NOVEMBER 19, 2024

Pricing and availability Amazon MWAA pricing dimensions remains unchanged, and you only pay for what you use: The environment class Metadata database storage consumed Metadata database storage pricing remains the same. He works in the financial services industry, supporting enterprises in their cloud adoption.

Metadata 111

Metadata Cost-Benefit Metrics Optimization 111

TDAN

MAY 31, 2022

The main goal of creating an enterprise data fabric is not new. It is the ability to deliver the right data at the right time, in the right shape, and to the right data consumer, irrespective of how and where it is stored. Data fabric is the common “net” that stitches integrated data from multiple data […].

Metadata 98

Metadata Enterprise IT Data Architecture 98

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift scales linearly with the number of users and volume of data, making it an ideal solution for both growing businesses and enterprises. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake 97

Data Lake Data Warehouse Data-driven Optimization 97

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. Then there’s unstructured data with no contextual framework to govern data flows across the enterprise not to mention time-consuming manual data preparation and limited views of data lineage. They might have 300 applications, with 50 different databases and a different schema for each one.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s From Bad to Worse.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. The past decades of enterprise data platform architectures can be summarized in 69 words. Centralized enterprise data architectures are not built to support Agile development.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

SEPTEMBER 19, 2024

Data intelligence platform vendor Alation has partnered with Salesforce to deliver trusted, governed data across the enterprise. 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.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

AWS Big Data

AUGUST 13, 2024

Additionally, authorization policies can be configured for a domain unit permitting actions such as who can create projects, metadata forms, and glossaries within their domain units. Similarly, authorization policies can help organizations govern the management of organizational domains, collaboration, and metadata.

Data Governance 119

Data Governance Metadata Enterprise Sales 119

O'Reilly on Data

JANUARY 8, 2019

Sustaining machine learning in an enterprise. This is also reflected by the emergence of tools that are specific to machine learning, including data science platforms, data lineage, metadata management and analysis, data governance, and model lifecycle management. Burgeoning IoT technologies. Automation in data science and data.

Machine Learning 241

Machine Learning IoT Internet of Things Data Science 241

Octopai

JUNE 30, 2022

Establishing a single, enterprise-wide source of truth? If you can rattle off the top five or ten enterprise data catalog use cases in your sleep, this post is an attempt to add a little more color and variety to your data life. Here are three ways enterprises can leverage their data catalogs that don’t make the standard lists.

Enterprise 96

Enterprise Data-driven Data Quality Data Lake 96

AWS Big Data

NOVEMBER 16, 2023

This post discusses best practices for designing enterprise-grade Data Vaults of varying scale using Amazon Redshift; the second post in this two-part series discusses the most pressing needs when designing an enterprise-grade Data Vault and how those needs are addressed by Amazon Redshift.

Enterprise 111

Enterprise Data Warehouse Data Lake Optimization 111

AWS Big Data

OCTOBER 25, 2023

By some estimates, unstructured data can make up to 80–90% of all new enterprise data and is growing many times faster than structured data. After decades of digitizing everything in your enterprise, you may have an enormous amount of data, but with dormant value. You can integrate different technologies or tools to build a solution.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

CIO Business Intelligence

MARCH 4, 2025

AgentExchange will drive agent consumption where an enterprise or a developer can get a head start on adopting and using agents, said Jason Andersen, principal analyst at Moor Insights & Strategy. Further, Everest Groups Srivastava believes that the new marketplace will provide some fillip to Agentforces adoption.

Metadata 65

Metadata Manufacturing Finance Software 65

Rocket-Powered Data Science

FEBRUARY 15, 2023

These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. The latter is essential for Generative AI implementations.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

erwin

OCTOBER 8, 2020

But transforming and migrating enterprise data to the cloud is only half the story – once there, it needs to be governed for completeness and compliance. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

AUGUST 15, 2023

But CIOs are cautiously evaluating how to safely deploy generative AI in the enterprise, and what guard-rails to put around it. To help IT leaders keep tabs on their exposure to generative AI, CIO.com offers this round-up of the latest generative AI announcements from some of the major enterprise software vendors.

Software 98

Software Enterprise Sales Visualization 98

erwin

JANUARY 14, 2021

These surveys helped IDC develop a model that describes the five stages of enterprise recovery , aligning business focus with the economic situation: When the COVID-19 crisis hit, organizations focused on business continuity. When we enter into the next normal, the future enterprise will emerge.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

erwin

DECEMBER 6, 2019

Team Resources : Most successful organizations have established a formal data management group at the enterprise level. As a foundational component of enterprise data management, DG would reside in such a group. Enterprise Data Management Methodology : DG is foundational to enterprise data management.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145