O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 299

Data Quality Metadata Data Governance Publishing 299

AWS Big Data

MAY 7, 2024

This post explains how you can extend the governance capabilities of Amazon DataZone to data assets hosted in relational databases based on MySQL, PostgreSQL, Oracle or SQL Server engines. Second, the data producer needs to consolidate the data asset’s metadata in the business catalog and enrich it with business metadata.

Metadata 76

Metadata Data Lake Data Processing Data-driven 76

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. LPG lacks schema and semantics, which makes it inappropriate for publishing and sharing of data. This makes LPGs inflexible.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

APRIL 27, 2022

Gartner defines a data fabric as “a design concept that serves as an integrated layer of data and connecting processes. The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale.

Management 80

Management Metadata Data Architecture Data Lake 80

Cloudera

SEPTEMBER 9, 2022

As a data analyst or data scientist, we would all love to be able to do all these things, and much more. This is the promise of the modern data lakehouse architecture. New innovations in the cloud have driven data explosions. We’re asking new and more complex questions of our data to gain even greater insights.

Metadata 100

Metadata Machine Learning Unstructured Data Data Lake 100

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73