Ontotext

JUNE 10, 2021

Not Every Graph is a Knowledge Graph: Schemas and Semantic Metadata Matter. To be able to automate these operations and maintain sufficient data quality, enterprises have started implementing the so-called data fabrics , that employ diverse metadata sourced from different systems. Metadata about Relationships Come in Handy.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

Octopai

NOVEMBER 10, 2021

Metadata has been defined as the who, what, where, when, why, and how of data. Without the context given by metadata, data is just a bunch of numbers and letters. But going on a rampage to define, categorize, and otherwise metadata-ize your data doesn’t necessarily give you the key to the value in your data. Hold on tight!

Metadata 98

Metadata Management Interactive Strategy 98

AWS Big Data

JANUARY 15, 2025

To achieve this, EUROGATE designed an architecture that uses Amazon DataZone to publish specific digital twin data sets, enabling access to them with SageMaker in a separate AWS account. From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. This process is shown in the following figure.

IoT 110

IoT Machine Learning Metadata Data-driven 110

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? At the same time, Miso went about an in-depth chunking and metadata-mapping of every book in the O’Reilly catalog to generate enriched vector snippet embeddings of each work.

Metadata 299

Metadata Publishing Data-driven Modeling 299

CIO Business Intelligence

DECEMBER 11, 2024

This need to improve data governance is therefore at the forefront of many AI strategies, as highlighted by the findings of The State of Data Intelligence report published in October 2024 by Quest, which found the top drivers of data governance were improving data quality (42%), security (40%), and analytics (40%).

Risk 111

Risk Data Strategy Strategy Data Governance 111

O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. Data scientists and data engineers are in demand.

Deep Learning 270

Deep Learning Machine Learning Data Science Metadata 270

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 91

Metadata Data Governance Metrics Marketing 91

Ontotext

APRIL 15, 2020

The FHIRCat group at the Mayo Clinic has published the CORD-19-on-FHIR dataset for COVID-19 research. Here, GraphDB is used for storing the ontology models, the vocabulary, the content metadata and the graphs from the PICO ontology. The Mayo Clinic.

Publishing 105

Publishing Metadata Data mining Data Architecture 105

AWS Big Data

FEBRUARY 12, 2024

We automate running queries using Step Functions with Amazon EventBridge schedules, build an AWS Glue Data Catalog on query outputs, and publish dashboards using QuickSight so they automatically refresh with new data. QuickSight is used to query, build visualizations, and publish dashboards using the data from the query results.

Publishing 111

Publishing Dashboards Metadata Visualization 111

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

AWS Big Data

NOVEMBER 6, 2024

Kinesis Data Streams not only offers the flexibility to use many out-of-box integrations to process the data published to the streams, but also provides the capability to build custom stream processing applications that can be deployed on your compute fleet. KCL uses DynamoDB to store metadata such as shard-worker mapping and checkpoints.

Cost-Benefit 115

Cost-Benefit Metadata Optimization Publishing 115

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

Data Virtualization

DECEMBER 8, 2022

Reading Time: 3 minutes While cleaning up our archive recently, I found an old article published in 1976 about data dictionary/directory systems (DD/DS). Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. It was written by L.

Metadata 69

Metadata IT Data Integration Publishing 69

Analytics Vidhya

SEPTEMBER 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction The purpose of a data warehouse is to combine multiple sources to generate different insights that help companies make better decisions and forecasting. It consists of historical and commutative data from single or multiple sources.

Data Warehouse 357

Data Warehouse Forecasting Data Science Big Data 357

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 104

Data Lake Sales Metadata Machine Learning 104

AWS Big Data

NOVEMBER 19, 2024

Solution overview AWS AppSync creates serverless GraphQL and pub/sub APIs that simplify application development through a single endpoint to securely query, update, or publish data. Unfiltered Table Metadata This tab displays the response of the AWS Glue API GetUnfilteredTableMetadata policies for the selected table.

Data Processing 95

Data Processing Metadata Publishing Testing 95

AWS Big Data

DECEMBER 4, 2024

An Iceberg table’s metadata stores a history of snapshots, which are updated with each transaction. Over time, this creates multiple data files and metadata files as changes accumulate. Additionally, they can impact query performance due to the overhead of handling large amounts of metadata.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

JUNE 19, 2023

In a series of follow-up posts, we will review the source code and walkthrough published examples of the Lambda ingestion framework in the AWS Samples GitHub repo. The framework can be modified for use in containers to help address companies that have longer processing times for large files published in Security Lake.

Publishing 105

Publishing Dashboards Visualization Management 105

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

AWS Big Data

MARCH 5, 2025

This post describes the process of using the business data catalog resource of Amazon DataZone to publish data assets so theyre discoverable by other accounts. Data publishers : Users in producer AWS accounts. Create the necessary publish project for AWS Glue and Amazon Redshift in the producer account.

Analytics 60

Analytics Publishing Metadata Sales 60

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

Jim Harris

MAY 5, 2017

Spelling, pronunciation, and examples of usage are included in the dictionary definition of a word, which is a good example of one of the many uses of metadata, namely to provide a definition, description, and context for data. In practice, I haven’t encountered a metadata dictionary that could deliver on that promise.

Metadata 61

Metadata Publishing Management IT 61

DataKitchen

AUGUST 9, 2021

The domain requires a team that creates/updates/runs the domain, and we can’t forget metadata: catalogs, lineage, test results, processing history, etc., …. It’s convenient to publish a set of URLs that provide access to domain-related data and services. Figure 5: Domain interfaces as URLs. How does one get access to a domain?

Testing 246

Testing Data Lake Metadata Publishing 246

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. You can also create new data lake tables using Redshift Managed Storage (RMS) as a native storage option.

Data Lake 95

Data Lake Data Warehouse Data-driven Optimization 95

AWS Big Data

JULY 18, 2024

It focuses on the key aspect of the solution, which was enabling data providers to automatically publish data assets to Amazon DataZone, which served as the central data mesh for enhanced data discoverability. Data domain producers publish data assets using datasource run to Amazon DataZone in the Central Governance account.

Data Lake 129

Data Lake Publishing Metadata Data-driven 129

erwin

MARCH 30, 2020

Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Essentially, metadata management is the administration of data that describes other data, with an emphasis on associations and lineage. Data lineage to support impact analysis.

Metadata 122

Metadata IT Data Governance Data Quality 122

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. With public API you can now manage metadata enrichment from external tools and workflows.

Metadata 56

Metadata Machine Learning Data Quality Statistics 56

AWS Big Data

DECEMBER 4, 2024

The data is also registered in the Glue Data Catalog , a metadata repository. The database will be used to store the metadata related to the data integrations performed by zero-ETL. The status and statistics of the CDC load are published into CloudWatch.

Data Integration 112

Data Integration Data Lake Statistics Data-driven 112

AWS Big Data

JUNE 7, 2023

In this blog, we discuss the technical challenges faced by Cargotec in replicating their AWS Glue metadata across AWS accounts, and how they navigated these challenges successfully to enable cross-account data sharing. Solution overview Cargotec required a single catalog per account that contained metadata from their other AWS accounts.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

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

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 119

Metadata Data Lake Publishing Data Governance 119

AWS Big Data

MAY 7, 2024

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. It offers AWS Glue connections and AWS Glue crawlers as a means to capture the data asset’s metadata easily from their source database and keep it up to date.

Metadata 102

Metadata Data Lake Data Processing Data-driven 102

AWS Big Data

JULY 29, 2024

On March 21, 2024, Amazon DataZone introduced several exciting enhancements to its Amazon Redshift integration that simplify the process of publishing and subscribing to data warehouse assets like tables and views, while enabling Amazon Redshift customers to take advantage of the data management and governance capabilities or Amazon DataZone.

Data Warehouse 106

Data Warehouse Sales Metadata Publishing 106

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

AWS Big Data

DECEMBER 16, 2024

With the ability to browse metadata, you can understand the structure and schema of the data source, identify relevant tables and fields, and discover useful data assets you may not be aware of. This approach simplifies your data journey and helps you meet your security requirements. Now, lets start running queries on your notebook.

Visualization 87

Visualization Data Processing Testing Publishing 87

AWS Big Data

OCTOBER 11, 2023

Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day.

Management 129

Management Metadata Analytics Dashboards 129

erwin

JUNE 22, 2020

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? Overcoming the 80/20 Rule with Micro Governance for Metadata. Companies like Twitter, Shopify and Box have announced that they are moving to a permanent work-from-home status as their new normal.

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105