DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. ” For example, these tools may offer metadata-based notifications. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

CIO Business Intelligence

MARCH 24, 2023

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

APRIL 3, 2024

We discuss how to visualize data quality scores in Amazon DataZone, enable AWS Glue Data Quality when creating a new Amazon DataZone data source, and enable data quality for an existing data asset. If the asset has AWS Glue Data Quality enabled, you can now quickly visualize the data quality score directly in the catalog search pane.

Data Quality 89

Data Quality Visualization Metadata Metrics 89

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. Back then, visualizing impact analysis seemed futuristic with great promise. This is the true measurement of data lineage.

Metadata 52

Metadata Data Warehouse Visualization Data Quality 52

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis. of BI pages.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

FEBRUARY 29, 2024

The need for an end-to-end strategy for data management and data governance at every step of the journey—from ingesting, storing, and querying data to analyzing, visualizing, and running artificial intelligence (AI) and machine learning (ML) models—continues to be of paramount importance for enterprises.

Data Governance 95

Data Governance Unstructured Data Metadata Data Lake 95

AWS Big Data

MARCH 26, 2024

Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68

CIO Business Intelligence

NOVEMBER 22, 2022

While the need for data access internally is rising, [CIOs] also have to keep pace with rapidly evolving regulatory and compliance measures, like the EU Artificial Intelligence Act and the newly released White House Blueprint for an AI Bill of Rights,” Nirmal says.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Along with metadata management, data quality is important to increase confidence for consumers.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

AWS Big Data

JULY 14, 2023

This post provides a simple and quick way of building an extendable analytical system using Amazon QuickSight to better manage lines of business (LOBs) with a detailed list of business capabilities and APIs, deep analytical insights, and desired graphical visualizations from different dimensions.

Modeling 71

Modeling Visualization Reporting Measurement 71

BI-Survey

AUGUST 22, 2023

What functional, technical and organizational measures are companies applying and how far have they come? The data mesh toolbox must be adapted to the reality of the company and supplemented by other measures. Ownership of reports/dashboards and ad hoc and visual analytics already lies primarily in the business domain.

Measurement 52

Measurement Data Governance Data-driven Dashboards 52

Octopai

APRIL 4, 2022

Data lineage maps out the journey of any data asset or data point based on the metadata in healthcare systems. Complex Times Call for Complex Measures . Active metadata management can even alert you in advance to anomalies and potential issues so you can investigate before they turn into real problems.

Metadata 92

Metadata Reporting Visualization Insurance 92

AWS Big Data

JULY 28, 2023

Data management and governance Addressing the challenges mentioned requires a combination of technical, operational, and legal measures. By creating visual representations of data flows, organizations can gain a clear understanding of the lifecycle of personal data and identify potential vulnerabilities or compliance gaps.

Snapshot 83

Snapshot Metadata Measurement Data Warehouse 83

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. The ML model that powers this experience is able to associate semantics and visual characteristics.

Visualization 92

Visualization Cost-Benefit Modeling Machine Learning 92

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. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

JANUARY 8, 2024

Real-time analytics architecture for time series Time series data is a sequence of data points recorded over a time interval for measuring events that change over time. Visualization & Gain insights – Customers can query, visualize, and create alerts using Amazon Managed Service for Grafana.

Analytics 113

Analytics IoT Data-driven Snapshot 113

DataRobot Blog

SEPTEMBER 1, 2022

This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. But many of the things you need to measure for your business are hyperspecific for your unique problems and opportunities — specific business KPIs or data science secrets. Manage changing market conditions.

Metrics 145

Metrics Statistics Modeling Data Science 145

Octopai

AUGUST 30, 2020

Manually add objects and or links to represent metadata that wasn’t included in the extraction and document descriptions for user visualization. We call this feature: Expand. Collapse irrelevant results allowing users to focus on the task at hand. Column-to-column lineage.

OLAP 58

OLAP Metadata Visualization Data Processing 58

Ontotext

APRIL 15, 2020

GraphDB’s Visual Graph can be used to explore the data as demonstrated below. Here, GraphDB is used for storing the ontology models, the vocabulary, the content metadata and the graphs from the PICO ontology. It contains more than 51,000 scholarly articles and is available to the global research community.

Publishing 105

Publishing Metadata Data mining Technology 105

AWS Big Data

JUNE 15, 2023

Just as data is prepared visually using dashboards and reports, it can be readied for language-based interactions using a topic. QuickSight authors can also add their Q visuals straight to an analysis to speed up dashboard creation, as seen in GIF 2. With NLQ, language is the interface. Person or Organization : Who?

Sales 68

Sales Dashboards Visualization Testing 68

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. A key piece of legislation that emerged from that crisis was BCBS-239.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

Octopai

DECEMBER 11, 2022

This is where data lineage and metadata management becomes an integral part of BCBS 239, TRIM or any other regulations dealing with financial risk. Automated data lineage enables you to visually trace the entire path of any data point from origin to destination. – and just look at the data path visualization to see your answer.

Insurance 52

Insurance Risk Metadata Reporting 52

Insight

MARCH 12, 2020

Data Collection The AIgent leverages book synopses and book metadata. To my knowledge, the most extensive repository of synopses and metadata is Goodreads. To collect these genre tags and other metadata, I took advantage of the well-documented Goodreads API. features) and metadata (i.e. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

Octopai

JUNE 16, 2021

Automated data lineage keeps your data clean and clear, and allows you to visually trace the entire path of any data point from origin to destination. With this visualization, you can understand every transformation that happened to it along the way, which enables problematic leaps to stand out like a sore thumb. Operational risk (i.e.

Management 52

Management Risk Management Risk Visualization 52

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. Here’s how our tool makes it work.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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. Some graph databases have visualization elements as a part of that and in others, you put visualization tools in, so it depends. Would you agree with what I just said? Doug : Right.

Technology 59

Technology Visualization Digital Transformation Management 59

Domino Data Lab

JUNE 13, 2019

This has led to researchers to look for ways to address the rising danger of overfitting by reconstructing datasets, measuring the accuracy, and then sharing their process. Yet, the industry is aware of how the popularity and usage of MNIST (and other popular datasets) may also increase the potential danger of overfitting.

Testing 83

Testing Data Science Experimentation Metadata 83

Ontotext

MAY 18, 2020

The capacity and performance of supercomputers is measured with the so-called FLOPS (floating point operations per second). The first type is metadata from images. The ExaMode project aims to develop new architectures and tools for pathologists and medical researchers. Information source: H2020 grant for Computational Pathology ].

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

BI-Survey

FEBRUARY 6, 2020

ML helps users prepare data to enhance reports and to select appropriate data visualizations in visual analysis and dashboards. Linking data to business metadata is crucial for data governance. Deploy self-service and accompanying governance measures. Help all employees to level-up their data skills and to collaborate.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

BI-Survey

MARCH 4, 2022

Due to steadily growing interest in the topic, we conducted this survey to better understand the flavors of data culture within organizations, the hurdles they are facing, the initiatives that are underway and of course the wins that have already been achieved with these measures. This is exactly the issue that emerges from the study results.

Data-driven 52

Data-driven Data Strategy Data Governance Strategy 52

AWS Big Data

JANUARY 25, 2023

The compute capacity used for data ingestion, and search and query is measured in OpenSearch Compute Units (OCUs). For data older than 24 hours, OpenSearch Serverless only caches metadata and fetches the necessary data blocks from Amazon S3 based on query access. This model also helps pack more data while controlling the costs.

Management 109

Management Dashboards Metadata Modeling 109

DataKitchen

JANUARY 23, 2023

Data lineage is often considered static because it is typically based on snapshots of data and metadata taken at a specific time. Only then can you tell the true impact of a column name change on the data transformations, the models, and the visualization you give to your customers. They measure data sets at a point in time.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Cloudera

MAY 18, 2021

CDP Public Cloud leverages the elastic nature of the cloud hosting model to align spend on Cloudera subscription (measured in Cloudera Consumption Units or CCUs) with actual usage of the platform. Data Visualization. Data Visualization. CDP Public Cloud. Fine-grained Data Access Control. Limited granularity with Sentry.

Cost-Benefit 86

Cost-Benefit Data-driven Machine Learning Data Warehouse 86

AWS Big Data

NOVEMBER 16, 2023

Through Amazon Redshift in-memory result set caching and compilation caching, workloads ranging from dashboarding to visualization to business intelligence (BI) that run repeat queries experience a significant performance boost. Chargeback metadata Amazon Redshift provides different pricing models to cater to different customer needs.

Enterprise 84

Enterprise Data Warehouse Snapshot Cost-Benefit 84

IBM Big Data Hub

MARCH 29, 2024

Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata. PromQL allows developers and IT departments to aggregate data metrics and turn them into histograms–graphs and dashboards for greater visualization.

Metrics 76

Metrics Visualization Measurement Optimization 76

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Network security mushrooms with VPNs, IDS , gateways, various bump-in-the-wire solutions, SIMS tying all the anti-intrusion measures within the perimeter together, and so on.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

erwin

JUNE 27, 2019

There’s an expression: measure twice, cut once. Data modeling is the upfront “measuring tool” that helps organizations reduce time and avoid guesswork in a low-cost environment. Ability to visualize business and technical database structures through an integrated, graphical model. Evaluating a Data Modeling Tool – Key Features.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81