Ontotext

APRIL 15, 2020

The FHIRCat group at the Mayo Clinic has published the CORD-19-on-FHIR dataset for COVID-19 research. Here, GraphDB is used for storing the ontology models, the vocabulary, the content metadata and the graphs from the PICO ontology. The Mayo Clinic.

Publishing 105

Publishing Metadata Data mining Data Architecture 105

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 92

Metadata Data Governance Metrics Marketing 92

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 90

Machine Learning Modeling Metadata Recreation/Entertainment 90

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. General concerns.

Modeling 225

Modeling Machine Learning Predictive Modeling Consulting 225

AWS Big Data

JULY 18, 2024

It focuses on the key aspect of the solution, which was enabling data providers to automatically publish data assets to Amazon DataZone, which served as the central data mesh for enhanced data discoverability. Data domain producers publish data assets using datasource run to Amazon DataZone in the Central Governance account.

Data Lake 130

Data Lake Metadata Publishing Data-driven 130

IBM Big Data Hub

JULY 28, 2022

Metadata enrichment is about scaling the onboarding of new data into a governed data landscape by taking data and applying the appropriate business terms, data classes and quality assessments so it can be discovered, governed and utilized effectively.

Metadata 56

Metadata Machine Learning Data Quality Statistics 56

Cloudera

FEBRUARY 22, 2022

Companies such as Adobe , Expedia , LinkedIn , Tencent , and Netflix have published blogs about their Apache Iceberg adoption for processing their large scale analytics datasets. . In CDP we enable Iceberg tables side-by-side with the Hive table types, both of which are part of our SDX metadata and security framework.

Snapshot 114

Snapshot Metadata Cost-Benefit Data Architecture 114

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views.

Metadata 59

Metadata Data Lake Machine Learning Big Data 59

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. It is published by Robert S.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

CIO Business Intelligence

MARCH 6, 2024

The new feature, which Claire Cheng, vice president of machine learning and AI engineering at Salesforce said was in the works last month , has been launched as the Prompt Builder and has been made generally available.

IT 121

IT Metadata Interactive Enterprise 121

AWS Big Data

MAY 7, 2024

What’s covered in this post is already implemented and available in the Guidance for Connecting Data Products with Amazon DataZone solution, published in the AWS Solutions Library. It offers AWS Glue connections and AWS Glue crawlers as a means to capture the data asset’s metadata easily from their source database and keep it up to date.

Metadata 104

Metadata Data Lake Data Processing Data-driven 104

AWS Big Data

OCTOBER 4, 2023

Use business terms to search, share, and access cataloged data, making data accessible to all the configured users to learn more about data they want to use with the business glossary. Automate data discovery and cataloging with machine learning (ML).

Metadata 119

Metadata Data Lake Publishing Data Governance 119

CIO Business Intelligence

SEPTEMBER 11, 2024

Fusion Data Intelligence — which can be viewed as an updated avatar of Fusion Analytics Warehouse — combines enterprise data, ready-to-use analytics along with prebuilt AI and machine learning models to deliver business intelligence.

Contextual Data 116

Contextual Data Key Performance Indicator Dashboards Data-driven 116

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” This is the promise of the modern data lakehouse architecture.

Metadata 108

Metadata Machine Learning Unstructured Data Data Lake 108

IBM Big Data Hub

MARCH 25, 2022

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 16, 2024

The need for Amazon MWAA disaster recovery Amazon MWAA, a fully managed service for Apache Airflow , brings immense value to organizations by automating workflow orchestration for extract, transform, and load (ETL), DevOps, and machine learning (ML) workloads. This makes it difficult to implement a comprehensive DR strategy.

Strategy 111

Strategy Metadata Metrics Dashboards 111

AWS Big Data

OCTOBER 29, 2024

The CDH is used to create, discover, and consume data products through a central metadata catalog, while enforcing permission policies and tightly integrating data engineering, analytics, and machine learning services to streamline the user journey from data to insight.

Data Lake 105

Data Lake Sales Metadata Machine Learning 105

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow. Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S.

Reporting 96

Reporting Data Warehouse Data Lake Machine Learning 96

AWS Big Data

SEPTEMBER 11, 2024

Each file arrives as a pair with a tail metadata file in CSV format containing the size and name of the file. This metadata file is later used to read source file names during processing into the staging layer. The Redshift publish zone is a different set of tables in the same Redshift provisioned cluster.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

AWS Big Data

NOVEMBER 6, 2024

By using Iceberg for storage, engineers can build applications using different analytics and machine learning frameworks such as Apache Spark, Apache Flink, Presto, Hive, or Impala, or AWS services such as Amazon SageMaker , Amazon Athena , AWS Glue , Amazon EMR , Amazon Managed Service for Apache Flink , or Amazon Redshift.

Metadata 115

Metadata Data Lake Management Internet of Things 115

Cloudera

MARCH 3, 2022

In the 2020 O’Reilly Data Quality survey only 20% of respondents say their organizations publish information about data provenance or data lineage internally. What’s more, SDX provides access to the lineage, metadata, and metrics associated with data utilization across environments. From Bad to Worse.

Data Governance 105

Data Governance Enterprise Data Quality Metadata 105

AWS Big Data

JUNE 10, 2024

Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. Centralized catalog for published data – Multiple producers release data currently governed by their respective entities. For consumer access, a centralized catalog is necessary where producers can publish their data assets.

Data Lake 113

Data Lake Metadata Data Warehouse Data Processing 113

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. 1] Users can access data through a single point of entry, with a shared metadata layer across clouds and on-premises environments.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

DataRobot Blog

MARCH 9, 2022

This article was originally published at Algorithimia’s website. The Amazon Product Reviews Dataset provides over 142 million Amazon product reviews with their associated metadata, allowing machine learning practitioners to train sentiment models using product ratings as a proxy for the sentiment label. It provides 1.6

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

CIO Business Intelligence

SEPTEMBER 12, 2024

But now is the time to understand what “information” should be digitized and which digitized assets should be enriched and tagged with metadata so that they are searchable and can be connected to other relevant records. That means developers can use any technology stack and publish content consistently across various digital channels.

Unstructured Data 111

Unstructured Data Deep Learning Metadata Structured Data 111

AWS Big Data

DECEMBER 4, 2024

Extract, transform, and load (ETL) is the process of combining, cleaning, and normalizing data from different sources to prepare it for analytics, artificial intelligence (AI), and machine learning (ML) workloads. The data is also registered in the Glue Data Catalog , a metadata repository.

Data Integration 113

Data Integration Data Lake Statistics Data-driven 113

IBM Big Data Hub

APRIL 27, 2022

A data fabric utilizes continuous analytics over existing, discoverable and inferenced metadata to support the design, deployment and utilization of integrated and reusable datasets across all environments, including hybrid and multicloud platforms.” [1]. This improves data engineering productivity and time-to-value for data consumers.

Management 79

Management Metadata Data Architecture Data Lake 79

Ontotext

JANUARY 10, 2024

Any type of metadata or universal data model is likely to slow down development and increase costs, which will affect the time to market and profit. No matter what machine learning or graph algorithms are used, they cannot uncover dependencies if the corresponding “signals” are missing.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

DECEMBER 4, 2024

They’re taking data they’ve historically used for analytics or business reporting and putting it to work in machine learning (ML) models and AI-powered applications. Collaboration is seamless, with straightforward publishing and subscribing workflows, fostering a more connected and efficient work environment.

Data Analytics 101

Data Analytics Analytics Data Lake Data Quality 101

AWS Big Data

MAY 4, 2023

Solution overview Each day, the UK Met Office produces up to 300 TB of weather and climate data, a portion of which is published to ASDI. The OpenSearch Service domain stores metadata on the datasets connected at the Regions. A key feature of Lustre is that only the file system’s metadata is synced.

Data Processing 121

Data Processing Metadata Informatics Interactive 121

Insight

MAY 16, 2019

Computer vision has also been used in solving some of humanity’s grand challenges, like Stanford University’s Sustainability and Artificial Intelligence Lab project that combines satellite imagery and machine learning to predict poverty. Image metadata such as properties and bounding box coordinates are saved as XML.

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

AWS Big Data

MAY 31, 2024

Amazon API Gateway is a fully managed service that makes it straightforward for developers to create, publish, maintain, monitor, and secure APIs at any scale. The Lambda function queries OpenSearch Serverless and returns the metadata for the search. Based on metadata, content is returned from Amazon S3 to the user.

Metadata 132

Metadata Management Data-driven Testing 132

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. To foster an open ecosystem, we created a framework to empower partners to easily build and publish AI connectors.

Visualization 118

Visualization Cost-Benefit Modeling Machine Learning 118

Cloudera

JUNE 7, 2022

We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures. Choose a hybrid data-first strategy to deliver value faster.

IT 118

IT Data Architecture Unstructured Data Big Data 118

AWS Big Data

OCTOBER 2, 2023

The base construct to access streaming data in Amazon Redshift provides metadata from the source stream (attributes like stream timestamp, sequence numbers, refresh timestamp, and more) and the raw binary data from the stream itself. This approach requires an additional step of schema retrieval and decoding based on context.

Cost-Benefit 114

Cost-Benefit Metadata Structured Data Metrics 114

Alation

JULY 15, 2021

With a strong emphasis on human-generated metadata and logfile-derived insights, it powers search and discovery for data analysts along with access-oriented data governance. We’re thrilled to be a part of the Deep Dive on data catalog published by Eckerson Group. Where do those suggestions come from? The result? In Conclusion.

Reporting 98

Reporting Data Governance Recreation/Entertainment Metadata 98

AWS Big Data

DECEMBER 16, 2024

This fragmented, repetitive, and error-prone experience for data connectivity is a significant obstacle to data integration, analysis, and machine learning (ML) initiatives. If you want to revert a draft notebook to its last published state, choose Revert to published version to roll back to the most recently published version.

Visualization 88

Visualization Data Processing Testing Publishing 88