CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Octopai

FEBRUARY 8, 2020

While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. Moreover, others need to trace data history, get its context to resolve an issue before it actually becomes an issue. The solution is a comprehensive automated metadata platform.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

Ontotext

SEPTEMBER 7, 2023

And the other thing is another way of displaying it or visualizing it, which is a little more node based or hierarchically based. Doug : You’ve got nodes that describe data and edges that describe the relationships between them. Doug : Definitely. Would you agree with what I just said? Would you agree? Malcolm : Okay.

Technology 59

Technology Visualization Digital Transformation Management 59

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

Data Lake 89

Data Lake Data Warehouse Data-driven B2B 89

AWS Big Data

MARCH 13, 2024

AWS Glue crawls both S3 bucket paths, populates the AWS Glue database tables based on the inferred schemas, and makes the data available to other analytics applications through the AWS Glue Data Catalog. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 94

Analytics IoT Metadata Internet of Things 94

Ontotext

MAY 18, 2020

These tools will allow them to effectively and efficiently handle extremely large volumes of disparate data – digitized histopathology slides from the visual and textual content of patient’s records, medical publications, diagnoses, etc. Behind the scenes of linking histopathology data and building a knowledge graph out of it.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52