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

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

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

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

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

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

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

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 Consulting Enterprise 78

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

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. What Is Metadata? Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

O'Reilly on Data

JULY 28, 2020

When a Stitch Fix user interacts with its AI products, they interface with the prediction and recommendation engines. The information they interact with during that experience is an AI product–but they neither know, nor care, that AI is behind everything they see. Prototypes and Data Product MVPs.

Marketing 362

Marketing Experimentation Metrics Testing 362

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. There are four groups of data that are naturally siloed: Structured data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

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

Ontotext

JUNE 22, 2023

What if we first find out how a disease occurs, what pathological processes are involved on the cellular and molecular levels, which genes and proteins play a role and how they interact? On top of that, data is sometimes unreliable , and inaccurate or missing metadata makes it hard to decide which information to trust.

Metrics 52

Metrics Statistics Visualization Metadata 52

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift data sharing policies are established in Lake Formation and will be honored by all of your Redshift warehouses. Performance It is not uncommon for sub-second SLAs to be associated with data vault queries, particularly when interacting with the business vault and the data marts sitting atop the business vault.

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

Ontotext

MARCH 8, 2023

Solution Outcomes: A semantic recommendation service that is beating accuracy benchmarks and replacing manual processes aggregating content – that is supporting higher-quality, more advanced, and targeted recommendations with clear reasons. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 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

AWS Big Data

JANUARY 31, 2023

Data governance is increasingly top-of-mind for customers as they recognize data as one of their most important assets. Effective data governance enables better decision-making by improving data quality, reducing data management costs, and ensuring secure access to data for stakeholders.

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

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

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

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

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

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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

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 ROI Digital Transformation 105

Ontotext

MAY 22, 2023

Master data management (MDM), on the other hand, is focused on ensuring data quality and consistency across different systems and applications. MDM creates a single, verified source of data that can be used throughout an organization, and enforce policies and standards to maintain data quality.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

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 86

Metadata Sales Data Lake Big Data 86

Ontotext

MAY 16, 2024

For companies who are ready to make the leap from being applications-centric to data-centric – and for companies that have successfully deployed single-purpose graphs in business silos – the CoE can become the foundation for ensuring data quality, interoperability and reusability.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

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

Alation

MAY 4, 2023

Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Research and select the right tools for your organization.

Visualization 52

Visualization Metadata Data Governance KPI 52

Alation

MAY 4, 2023

Keep reading to learn more about the benefits of integrating data catalogs with data visualization tools! Data Catalog Definition A data catalog is a collection of organized metadata that governs the workflow and processes for data scientists. Research and select the right tools for your organization.

Visualization 40

Visualization Metadata Data Governance KPI 40

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 IT Data Governance 75

AWS Big Data

JUNE 12, 2023

Therefore, it’s crucial to keep the schema definition in the Schema Registry and the Data Catalog table in sync. To avoid this, it’s recommended to use a data quality check mechanism to identify such anomalies and take appropriate action in case of unexpected behavior. The following diagram illustrates our solution architecture.

Management 81

Management Metadata Testing Internet of Things 81

Alation

AUGUST 20, 2021

Tracking data as it moves through your organization informs IT of applications, gaps, and usage patterns so they can be more responsive to business needs. This interactive data lineage also helps IT understand the scope of data assets so they can optimize their own efforts and better prepare for future requirements.

Metadata 52

Metadata Data Quality Data Governance Data-driven 52

Alation

AUGUST 11, 2021

Across all these strategies, the keys to success are consistent; up-front planning and managing pipelines, alongside attention to governance and metadata are essential. This makes sense: knowing your data and who can access it is a critical first step before any move. Data quality and stewardship for effective cloud governance.

Data Governance 52

Data Governance Insurance Metadata Strategy 52

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 58

Data Warehouse Data Quality Metadata Risk Management 58

AWS Big Data

FEBRUARY 13, 2023

A set of queries from the production cluster – This set can be reconstructed from the Amazon Redshift logs ( STL_QUERYTEXT ) and enriched by metadata ( STL_QUERY ). To do this, we required the following: A reference cluster snapshot – This ensures that we can replay any tests starting from the same state.

Snapshot 68

Snapshot Data Warehouse Testing Analytics 68