DataKitchen

AUGUST 3, 2021

Discoverable – users have access to a catalog or metadata management tool which renders the domain discoverable and accessible. Secure and permissioned – data is protected from unauthorized users. Governed – designed with data quality and management workflows that empower data usage.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

AWS Big Data

FEBRUARY 29, 2024

Unstructured data is typically stored across siloed systems in varying formats, and generally not managed or governed with the same level of rigor as structured data. Implement data privacy policies. Implement data quality by data type and source. Link structured and unstructured datasets.

Data Governance 110

Data Governance Unstructured Data Metadata Data Lake 110

erwin

OCTOBER 29, 2020

Data readiness is everything. Whether driving digital experiences, mapping customer journeys, enhancing digital operations, developing digital innovations, finding new ways to interact with customers, or building digital ecosystems or marketplaces – all of this digital transformation is powered by data.

Data Governance 105

Data Governance Metadata Digital Transformation ROI 105

Alation

MARCH 2, 2023

Instead, we got data. Lots and lots of data. Well, we got jetpacks, too, but we rarely interact with them during the workday. It does feel, however, as if we need jet-like speed to analyze and understand our data, who is using it, how it is used, and if it is being used to drive value. This data about data is valuable.

Metadata 52

Metadata Marketing IT Data Quality 52

erwin

AUGUST 7, 2019

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

Ontotext

NOVEMBER 23, 2023

Keep in mind how named graphs interact with your validation: The SHACL shapes graph will validate the union of all graphs. While these provide no instructions to a SHACL engine, the use of non-validating characteristics such as sh:name and sh:description can add metadata to your shapes that make them easier to maintain as they scale up.

Data Quality 69

Data Quality Reporting Metadata IT 69

erwin

MARCH 21, 2019

Data governance also relies on business process modeling and analysis to drive improvement , including identifying business practices susceptible to security, compliance or other risks and adding controls to mitigate exposures. The lack of a central metadata repository is a far too common thorn in an organization’s side.

Modeling 75

Modeling Metadata Data Governance IT 75

Ontotext

JANUARY 26, 2023

In today’s world, we increasingly interact with the environment around us through data. For all these data operations to flow smoothly, data needs to be interoperable, of good quality and easy to integrate. The catalog stores the asset’s metadata in RDF. Researchers used GraphDB to store semantic metadata.

Interactive 52

Interactive Metadata Data Integration Data-driven 52

AWS Big Data

NOVEMBER 15, 2023

As the organization receives data from multiple external vendors, it often arrives in different formats, typically Excel or CSV files, with each vendor using their own unique data layout and structure. DataBrew is an excellent tool for data quality and preprocessing. Choose Create project.

Metadata 98

Metadata Sales Data Lake Big Data 98

Cloudera

JULY 20, 2021

Invest in maturing and improving your enterprise business metrics and metadata repositories, a multitiered data architecture, continuously improving data quality, and managing data acquisitions. enhanced customer experiences by accelerating the use of data across the organization.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

CIO Business Intelligence

DECEMBER 21, 2022

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. It’s about being able to find relevant data and connect it through a knowledge graph.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

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 79

Analytics Data Warehouse Data Lake Metadata 79

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

datapine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. The goals were multiple: revenue growth, customer satisfaction, and speed of service.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Ontotext

JANUARY 10, 2024

Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. In both cases, semantic metadata is the glue that turns knowledge graphs into hubs of data, metadata, and content.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Octopai

JULY 12, 2020

An enormous amount of time was being wasted performing manual searches, as the BI team needed to frequently comb through the enterprise data warehouse’s fields to determine how each was calculated or to find their sources. Automated Data Lineage & Discovery Provides Enterprise-Wide Benefits.

Data Warehouse 84

Data Warehouse Data Quality Metadata Risk Management 84

TDAN

MAY 5, 2020

The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy.

Data Governance 101

Data Governance Management Interactive Data Quality 101

Alation

MARCH 17, 2021

According to the Forrester Wave: Machine Learning Data Catalogs, Q4 2020 , “Alation exploits machine learning at every opportunity to improve data management, governance, and consumption by analytic citizens. MLDCs improve upon traditional metadata management systems by injecting intelligence. Tracking and Scaling Data Lineage.

Machine Learning 52

Machine Learning Metadata Data Governance Data Quality 52

Octopai

APRIL 16, 2020

Some data teams working remotely are making the most of the situation with advanced metadata management tools that help them deliver faster and more accurately, ensuring business as usual, even during coronavirus. BI reporting systems analyze data and reveal missing or damaged information before it affects data quality.

Metadata 59

Metadata Business Intelligence Uncertainty Data Quality 59

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

JUNE 14, 2023

This dashboard helps our operations team and end customers improve the data quality of key attribution and reduce manual intervention. This framework can be described as follows: Findable – Metadata and data should be easy to find for both humans and computers.

Dashboards 87

Dashboards KPI Scorecard Metadata 87

Ontotext

FEBRUARY 12, 2024

In a centralized architecture, data is copied from source systems into a data lake or data warehouse to create a single source of truth serving analytics use cases. This quickly becomes difficult to scale with data discovery and data version issues, schema evolution, tight coupling, and a lack of semantic metadata.

IT 64

IT Metadata Data Quality Data Lake 64

Ontotext

AUGUST 30, 2024

This allows researchers to connect genetic information from NCBI Gene with protein data from UniProt, facilitating a more holistic understanding of gene-protein interactions. Metadata is crucial for data discovery, understanding, and management. Updating a dataset when a new version becomes available is also very easy.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Ontotext

AUGUST 30, 2024

This allows researchers to connect genetic information from NCBI Gene with protein data from UniProt, facilitating a more holistic understanding of gene-protein interactions. Metadata is crucial for data discovery, understanding, and management. Updating a dataset when a new version becomes available is also very easy.

Interactive 52

Interactive Metadata Dashboards Cost-Benefit 52

Octopai

AUGUST 11, 2024

Just as a navigation app provides a detailed map of roads, guiding you from your starting point to your destination while highlighting every turn and intersection, data flow lineage offers a comprehensive view of data movement and transformations throughout its lifecycle. Open Source Data Lineage Tools 1.

Metadata 40

Metadata Visualization Data Quality Data Governance 40

Ontotext

NOVEMBER 16, 2023

Data mesh solves this by promoting data autonomy, allowing users to make decisions about domains without a centralized gatekeeper. It also improves development velocity with better data governance and access with improved data quality aligned with business needs.

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

Ontotext

JULY 15, 2024

It also adds flexibility in accommodating new kinds of data, including metadata about existing data points that lets users infer new relationships and other facts about the data in the graph. Schemas are an example of how the right metadata can add value to the data it describes.

Contextual Data 52

Contextual Data Metadata Data Quality Publishing 52

erwin

AUGUST 31, 2023

It delivers the ability to capture and unify the business and technical perspectives of data assets, enables effective collaboration between a variety of stakeholders, and delivers metadata-driven automation to accelerate the creation and maintenance of data sources on virtually any data management platform.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Alation

FEBRUARY 7, 2023

The product collected an impressive amount of metadata, from the user interface to the database structure. It then translated all that metadata into an image resembling a spider’s web. That was my earliest taste of data lineage. I now realize that it was integration with a data catalog like Alation. Or so I thought.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

AWS Big Data

FEBRUARY 1, 2023

We also used AWS Lambda for data processing. To further optimize and improve the developer velocity for our data consumers, we added Amazon DynamoDB as a metadata store for different data sources landing in the data lake. Clients access this data store with an API’s.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

IBM Big Data Hub

MAY 9, 2022

Data privacy laws such as the GDPR in the EU, CCPA in California and PIPEDA in Canada have been enacted at the same time businesses are revitalizing efforts to establish data quality, not just data volume. Poor data quality costs organizations an average of $12.9 million each year [1] and $1.2 28, 2021. [2].

Management 56

Management Data Quality Metadata Data Integration 56

Ontotext

DECEMBER 1, 2023

Atanas Kiryakov presenting at KGF 2023 about Where Shall and Enterprise Start their Knowledge Graph Journey Only data integration through semantic metadata can drive business efficiency as “it’s the glue that turns knowledge graphs into hubs of metadata and content”.

Metadata 78

Metadata Sales Machine Learning Consulting 78

Wayne Yaddow

MARCH 14, 2025

Moreover, dbt Core enables users to implement business logic directly within transformations, thereby ensuring contract validation for regulatory compliance or data quality governancesuch as confirming that all high-value transactions include approval codes or that sensitive personal data remains obscured.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Jet Global

JULY 2, 2019

For example, Azure Data Lake includes all the capabilities required to make it easy for developers, data scientists, and analysts to store data of any size, shape, and speed—and do all types of processing and analytics across platforms and languages.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73