AWS Big Data

DECEMBER 4, 2024

These formats, exemplified by Apache Iceberg, Apache Hudi, and Delta Lake, addresses persistent challenges in traditional data lake structures by offering an advanced combination of flexibility, performance, and governance capabilities. Tags help address this by allowing you to point to specific snapshots with arbitrary names.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Ontotext

MAY 26, 2021

As Wikipedia is not only the biggest encyclopedia, but its contributors adhere to a strict editorial process, each industry tag is usually assigned by one person and reviewed by another. The post The Gold Standard – The Key to Information Extraction and Data Quality Control appeared first on Ontotext.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

CIO Business Intelligence

FEBRUARY 21, 2025

According to White, this data-driven approach has resulted in measurable improvements for the business. For example, staff have reduced footage review time by over 90%, with automated event tagging replacing manual searches.

Data-driven 116

Data-driven Measurement Reporting Technology 116

Smart Data Collective

FEBRUARY 23, 2021

Here are some common big data mistakes you must avoid to ensure that your campaigns aren’t affected. Ignoring Data Quality. One of the biggest big data mistakes that you can make as a marketer is that of ignoring the quality of your data. It would also go against the entire point of using data for marketing.

Big Data 142

Big Data Visualization Data Quality Data-driven 142

Rocket-Powered Data Science

FEBRUARY 15, 2023

Know thy data: understand what it is (formats, types, sampling, who, what, when, where, why), encourage the use of data across the enterprise, and enrich your datasets with searchable (semantic and content-based) metadata (labels, annotations, tags). The latter is essential for Generative AI implementations.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Ontotext

JULY 12, 2024

We offer two different PowerPacks – Agile Data Integration and High-Performance Tagging. The High-Performance Tagging PowerPack bundle The High-Performance Tagging PowerPack is designed to satisfy taxonomy and metadata management needs by allowing enterprise tagging at a scale.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Smart Data Collective

AUGUST 11, 2022

This massive undertaking requires input from groups of people to help correctly identify objects, including digitization of data, Natural Language Processing, Data Tagging, Video Annotation, and Image Processing. How Artificial Intelligence is Impacting Data Quality. Assessment of Data Types for Quality.

Data Quality 139

Data Quality Machine Learning Digital Transformation Big Data 139

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

CIO Business Intelligence

APRIL 16, 2024

Manufacturers have been using gateways to work around these legacy silos with IoT platforms to collect and consolidate all operational data. The detailed data must be tagged and mapped to specific processes, operational steps, and dashboards; pressure data A maps to process B, temperature data C maps to process D, etc.

Manufacturing 142

Manufacturing Digital Transformation Risk Dashboards 142

AWS Big Data

MARCH 1, 2024

It provides fine-grained access control, tagging ( tag-based access control (TBAC) ), and integration across analytical services. It enables simplifying the governance of data catalog objects and accessing secured data from services like Amazon Redshift Spectrum. Go to LF-Tags and permissions in Permissions sections.

Data Lake 118

Data Lake Data Warehouse Management Risk 118

Ontotext

NOVEMBER 9, 2023

While everyone may subscribe to the same design decisions and agree on an ontology, there may be differences in the data quality. In such situations, data must be validated. The post SHACL-ing the Data Quality Dragon I: the Problem and the Tools appeared first on Ontotext. Sometimes there is no room for error.

Data Quality 64

Data Quality Testing Reporting Metadata 64

AWS Big Data

JANUARY 18, 2024

Easily and securely prepare, share, and query data – This session shows how you can use Lake Formation and the AWS Glue Data Catalog to share data without copying, transform and prepare data without coding, and query data. LF-Tag democratization! Suivez les chiffres!

Data Lake 118

Data Lake Metadata Data Governance Statistics 118

CIO Business Intelligence

SEPTEMBER 19, 2024

It will do this, it said, with bidirectional integration between its platform and Salesforce’s to seamlessly delivers data governance and end-to-end lineage within Salesforce Data Cloud.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Smart Data Collective

OCTOBER 4, 2021

There is no question that big data is very important for many businesses. Unfortunately, big data is only as useful as it is accurate. Data quality issues can cause serious problems in your big data strategy. It relies on data to drive its AI algorithms. What social media influencers connect with customers?

Big Data 133

Big Data Data Quality Advertising Interactive 133

IBM Big Data Hub

MARCH 25, 2022

Automated data enrichment : To create the knowledge catalog, you need automated data stewardship services. These services include the ability to auto-discover and classify data, to detect sensitive information, to analyze data quality, to link business terms to technical metadata and to publish data to the knowledge catalog.

Metadata 104

Metadata Data Quality Data Governance Data Integration 104

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 98

Data Lake Data Governance Data Architecture Machine Learning 98

CIO Business Intelligence

NOVEMBER 28, 2023

These tools categorize and tag various elements of the artwork, whether it’s a character, landscape, or some other element. Quality is job one. Another key to success is to prioritize data quality. Going into analysis without ensuring data quality can be counterproductive.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

AWS Big Data

FEBRUARY 29, 2024

Implement data privacy policies. Implement data quality by data type and source. Let’s look at some of the key changes in the data pipelines namely, data cataloging, data quality, and vector embedding security in more detail. Link structured and unstructured datasets.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

CIO Business Intelligence

JANUARY 7, 2025

Change management and data quality will be key areas to address during the transition. The reality is that IBMs cloud business never quite took off, so this is really chasing the tag ends. Most of this business will flow to Azure or AWS, with the leftovers dropping to Google Cloud Platform (GCP) and now IBM.

Consulting 98

Consulting Enterprise Data-driven Data Quality 98

CIO Business Intelligence

JANUARY 20, 2023

“All of a sudden, you’re trying to give this data to somebody who’s not a data person,” he says, “and it’s really easy for them to draw erroneous or misleading insights from that data.” As more companies use the cloud and cloud-native development, normalizing data has become more complicated.

Data Lake 135

Data Lake Data-driven Finance Data Architecture 135

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. That label is applied when data is not available for the dimension you are looking at in your reports. How have you avoided the data quality quicksand trap? EU Cookies!)

Modeling 125

Modeling Metrics Data Quality Data-driven 125

erwin

APRIL 11, 2019

A robust and effective data governance initiative ensures an organization understands where security should be focussed. By adopting a data governance platform that enables you to automatically tag sensitive data and track its lineage , you can ensure nothing falls through the cracks.

Insurance 100

Insurance Data-driven Data Governance Metadata 100

Ontotext

OCTOBER 28, 2021

So, as always, looking into data quality is crucial. Get a quick answer using the graphdb tag on stack overflow. The post GraphDB Users Ask: Can GraphDB Infer Data Based on Values From a Virtualized Repository? Perhaps you want to use SHACL for it ? Do you have a question of your own?

Data Quality 98

Data Quality IT 98

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 73

Metadata Data Governance Management Finance 73

BizAcuity

MARCH 29, 2019

Load data into staging, perform data quality checks, clean and enrich it, steward it, and run reports on it completing the full management cycle. Numbers are only good if the data quality is good. The data is first in an abstract form and has to be summarized and analyzed to derive meaningful insights.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

erwin

DECEMBER 12, 2019

As data continues to proliferate, so does the need for data and analytics initiatives to make sense of it all. Quicker Project Delivery: Accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc., by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

CIO Business Intelligence

OCTOBER 24, 2023

One of the most important laws of training an AI model is that data quality matters. Feed it low-quality or poorly organized text, and the results will be equally uninspiring. At Stack Overflow, we kind of lucked out on the data quality issue.

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

CIO Business Intelligence

APRIL 8, 2024

Digital Athlete draws data from players’ radio frequency identification (RFID) tags, 38 5K optical tracking cameras placed around the field capturing 60 frames per second, and other data such as weather, equipment, and play type. During each week of games, the platform captures and processes 6.8

Analytics 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

Occam's Razor

DECEMBER 21, 2009

Use Tag Clouds. For pulling lots of data from lots of rows all together into one place I do so love tag clouds. Did you think that by doing something so simple you could get such a quickly glance-able view of so much data? Here is a tag cloud for a small company you might have heard of, Gatorade. It's a tree.

Metrics 94

Metrics KPI Reporting Visualization 94

CIO Business Intelligence

MARCH 22, 2022

It’s also hugely beneficial to deploy a data catalog or other centralized management mechanism that automatically discovers, tags, and catalogs data so you can manage and audit your policies all in one place. . Ready to evolve your analytics strategy or improve your data quality? Just starting out with analytics?

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

Smarten

MARCH 11, 2020

Data agility is crucial in this fast-paced business world. What good is data if is buried, scattered or out-of-date? If you could balance data agility with data governance and data quality, how great would that be?

Data Governance 67

Data Governance Data Quality Risk Analytics 67

Alation

OCTOBER 5, 2021

It’s on Data Governance Leaders to identify the issues with the business process that causes users to act in these ways. Inconsistencies in expectations can create enormous negative issues regarding data quality and governance. Establish a data governance program that drives business value by aligning team roles to KPIs.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

CIO Business Intelligence

APRIL 15, 2024

“In this case, while we have the same roles involved that many of our product teams have, such as product, experience design, engineering, and data science, we worked differently by keeping the team small and isolated from all the operational stuff that gets in the way.”

Testing 102

Testing Machine Learning Data Quality Experimentation 102

Laminar Security

DECEMBER 13, 2023

As we continue to generate and interact with increasing volumes of data, the role of AI in data discovery will only become more significant. The power of AI and data classification Data classification , often referred to as “tagging” or “labeling”, is a crucial process that categorizes data based on its type and sensitivity.

Data-driven 119

Data-driven Machine Learning Deep Learning Risk 119

DataKitchen

JUNE 24, 2021

Previously we would have a very laborious data warehouse or data mart initiative and it may take a very long time and have a large price tag. Agility is absolutely the cornerstone of what DataOps presents in the build and in the run aspects of our data products.”. Automate the data collection and cleansing process.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211