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 84

Metadata Data Governance Digital Transformation Data Quality 84

Ontotext

JUNE 27, 2019

GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. One of the latest new features of GraphDB is the MongoDB document store integration. This is a really exciting feature as it increases the write scalability of RDF solutions when dealing with document-centric data.

Metadata 40

Metadata Management Enterprise Optimization 40

Ontotext

JUNE 27, 2019

One of the latest new features of GraphDB is the MongoDB document store integration. This is a really exciting feature as it increases the write scalability of RDF solutions when dealing with document-centric data. Its indices are designed for fast storage and retrieval of documents and objects.

Metadata 40

Metadata Management Optimization Enterprise 40

TDAN

MARCH 19, 2019

Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance. These organizations make certain […].

Metadata 69

Metadata Data Governance Management IT 69

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do? What is metadata management?

Metadata 52

Metadata Management Data Processing Machine Learning 52

erwin

NOVEMBER 19, 2020

erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. The post erwin Positioned as a Leader in Gartner’s 2020 Magic Quadrant for Metadata Management Solutions for Second Year in a Row appeared first on erwin, Inc.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

erwin

FEBRUARY 12, 2021

Shockingly, a lot of organizations, even today, manage this through, either homemade tools or documents, checklists, Excel files, custom-made databases and so on and so forth. Traditionally, these are manually documented, monitored and managed. Processes produce, process and consume data –information captured in the metadata layer.

Risk 98

Risk Slice and Dice Management Enterprise 98

Ontotext

AUGUST 19, 2020

Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Inevitably, the information that could and needed to be expressed by metadata increased in complexity.

Metadata 59

Metadata Knowledge Discovery Cost-Benefit Data Governance 59

erwin

NOVEMBER 6, 2019

And this time, you guessed it – we’re focusing on data automation and how it could impact metadata management and data governance. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc. We would appreciate your input and will release the findings in January 2020. Click here to take the brief survey.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

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

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.”. The Gartner document is available upon request from www.erwin.com/GartnerMMMQleader.

Metadata 63

Metadata Management Reporting Marketing 63

CDW Research Hub

OCTOBER 16, 2019

The importance of metadata. Metadata is best defined as data that characterizes data. Metadata provides the who, what, where, when, why and how of that information. When companies have a properly engineered process to create, store and manage metadata, it benefits all focus areas of the business. ORDER BY SCHEDULED_TIME.

Metadata 40

Metadata Cost-Benefit Metrics Marketing 40

Rocket-Powered Data Science

JULY 6, 2021

This is accomplished through tags, annotations, and metadata (TAM). So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. Smart content includes labeled (tagged, annotated) metadata (TAM).

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

Octopai

APRIL 11, 2021

The DCIA replaces the Personal Information Protection and Electronic Documents Act from 20 years ago. A key system to smooth out the bumps is a metadata management platform that includes automated data discovery and automated data lineage. What is the Digital Charter Implementation Act? Well, not quite yet.

Metadata 52

Metadata Management Measurement IT 52

erwin

APRIL 16, 2020

We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. Metadata management is key to sustainable data governance and any other organizational effort that is data-driven. Critical Application for Information Governance ” -Information Scientist, Healthcare Industry.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

Octopai

MAY 13, 2019

These processes often rely on humans performing manual discovery and documentation tasks for: – Metadata management – ETL specifications – Report definitions – Reporting errors – Changes to calculations …and many other aspects of the data environment. That something has to do with metadata management.

Metadata 40

Metadata Management Reporting Dashboards 40

Ontotext

MARCH 13, 2024

Through Ontotext Metadata Studio (OMDS), we then apply semantic content enrichment using text analysis based on our marketing vocabularies. OMDS shows the collections of all the documents we currently have, such as blog posts, events, news articles, etc. Expanding these, we will see the whole tree for each custom vocabulary.

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

FEBRUARY 6, 2024

The remaining 80% is unstructured: emails, documents, presentations, spreadsheets, voicemails, and so on. Moreover, to better handle unstructured data, application vendors bifurcated their wares, with one group focused on unstructured data in its purest form, leaving the other group to manage documents.

Unstructured Data 98

Unstructured Data Advertising Metadata Software 98

Ontotext

APRIL 19, 2024

We mainly talked about the company’s Metadata Studio and the types of features it has that give users the options I’ve listed above. Of course, unstructured enterprise data consists primarily of content in document form, and if it’s not discoverable or reusable, it’s useless. Ivo’s been at Ontotext for over 14 years.

Metadata 52

Metadata Statistics Interactive Enterprise 52

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. From here, object metadata (such as file owner, creation date, and confidentiality level) is extracted and queried using Amazon S3 capabilities.

Data Governance 93

Data Governance Unstructured Data Metadata Data Lake 93

O'Reilly on Data

DECEMBER 12, 2023

RAG takes your prompt, loads documents in your company’s archive that are relevant, packages everything together, and sends the prompt to the model. They make it possible to search for relevant or similar documents.) It relies on the model for language and grammar, but derives the content from the documents included in the prompt.

Modeling 261

Modeling Software Sales Statistics 261

Ontotext

JULY 11, 2019

GraphDB: Semantic Text Similarity for Identifying Related Terms & Documents. So, words that co-occur frequently, documents composed by similar words, and concepts with similar or related meaning are placed close to one another in that space. It is proven to handle massive loads, queries and inferencing in real time. .

Statistics 40

Statistics Modeling Metadata Enterprise 40

Ontotext

JULY 11, 2019

So, words that co-occur frequently, documents composed by similar words, and concepts with similar or related meaning are placed close to one another in that space. The most important part here is the Data Query, which tells the index how to map text to documents. Document to Document.

Statistics 40

Statistics Modeling Metadata IT 40

CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

JANUARY 24, 2024

More data files leads to more metadata stored in manifest files, and small data files often cause an unnecessary amount of metadata, resulting in less efficient queries and higher Amazon S3 access costs. The output will give a count of the number of data and metadata files deleted.

Snapshot 98

Snapshot Data Lake Metadata Optimization 98

IBM Big Data Hub

JANUARY 8, 2024

The judiciary, like the legal system in general, is considered one of the largest “text processing industries” Language, documents, and texts are the raw material of legal and judicial work. As such, the judiciary has long been a field ripe for the use of technologies like automation to support the processing of documents.

Management 89

Management IT Digital Transformation Metadata 89

AWS Big Data

FEBRUARY 27, 2024

Migration of metadata such as security roles and dashboard objects will be covered in another subsequent post. For index , you can leave it as default, which will get the metadata from the source index and write to the same name in the destination as of the sources.

Metadata 92

Metadata Data Processing Dashboards IoT 92

erwin

MARCH 12, 2020

With metadata-driven automation, many DevOps processes can be automated, adding more “horsepower” to increase their speed and accuracy. Such automation can save close to 100 percent of the time usually spent on this type of documentation. Human errors are eliminated, leading to higher quality documentation and output.

Metadata 140

Metadata Digital Transformation Data-driven Enterprise 140

erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. 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

AWS Big Data

JULY 27, 2023

We also walk through using PartiQL in Amazon Redshift to unnest nested JSON documents and build fact and dimension tables that are used in your data warehouse refresh. Use a combination of a PartiQL statement and dot notation to unnest the JSON document into data columns of a staging table in Amazon Redshift. calculationRequirements"."M"."dependentIds"."

Data Warehouse 81

Data Warehouse Analytics Metadata Dashboards 81

TDAN

AUGUST 18, 2020

Consistent business meaning is important because distinctions between business terms are not typically well defined or documented. Standards exist for naming conventions, abbreviations and other pertinent metadata properties. What are the standards for writing […].

Management 96

Management Metadata Data Architecture IT 96

CIO Business Intelligence

MAY 10, 2023

Through data governance practices, such as accurately labeled metadata and trusted parameters for ownership, definitions, calculations, and use, organizations can ensure they are able to organize and maintain their data in a way that can be useable for AI initiatives.

Metadata 98

Metadata Data Governance Modeling Technology 98

erwin

JULY 2, 2020

He added, “We have also linked it to our documentation repository, so we have a description of our data documents.” They have documented 200 business processes in this way. His team also is using the software to manage roadmaps in their main transformation programs. erwin Evolve users are experiencing numerous benefits.

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

erwin

SEPTEMBER 17, 2020

For example, automatically importing mappings from developers’ Excel sheets, flat files, Access and ETL tools into a comprehensive mappings inventory, complete with auto generated and meaningful documentation of the mappings, is a powerful way to support overall data governance. Data quality is crucial to every organization.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

IBM Big Data Hub

OCTOBER 4, 2022

This includes capturing of the metadata, tracking provenance and documenting the model lifecycle. The ability to track and share model facts and documentation across the organization provides backup for analytic decisions. Having this backup is crucial when addressing stakeholder, customers and concerns from regulators.

Metadata 101

Metadata Risk Risk Management Experimentation 101

erwin

MARCH 17, 2020

Teams need to urgently respond to everything from massive changes in workforce access and management to what-if planning for a variety of grim scenarios, in addition to building and documenting new applications and providing fast, accurate access to data for smart decision-making. Building in the cloud? No problem.

Data Governance 138

Data Governance Enterprise Modeling Metadata 138