Rocket-Powered Data Science

MARCH 10, 2020

In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Foreword for the book. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

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 110

Data Lake Sales Metadata Machine Learning 110

AWS Big Data

DECEMBER 4, 2024

For instance, Domain A will have the flexibility to create data products that can be published to the divisional catalog, while also maintaining the autonomy to develop data products that are exclusively accessible to teams within the domain. A data portal for consumers to discover data products and access associated metadata.

Metadata 105

Metadata Data Governance Data Quality Data-driven 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 97

Metadata Data Governance Metrics Marketing 97

AWS Big Data

OCTOBER 21, 2024

To achieve this, they plan to use machine learning (ML) models to extract insights from data. Business analysts enhance the data with business metadata/glossaries and publish the same as data assets or data products. The data security officer sets permissions in Amazon DataZone to allow users to access the data portal.

Sales 116

Sales Data-driven Data Processing Key Performance Indicator 116

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 278

Modeling Machine Learning Predictive Modeling Consulting 278

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 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

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 115

Data Integration Data Lake Statistics Data-driven 115

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Data fabric Metadata-rich integration layer across distributed systems. Implementation complexity, relies on robust metadata management.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

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 105

Data Analytics Analytics Data Lake Data Quality 105

AWS Big Data

DECEMBER 17, 2024

Today, Amazon Redshift is used by customers across all industries for a variety of use cases, including data warehouse migration and modernization, near real-time analytics, self-service analytics, data lake analytics, machine learning (ML), and data monetization.

Data Lake 98

Data Lake Data Warehouse Data-driven Optimization 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 95

Visualization Data Processing Testing Publishing 95

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 Publishing Metadata 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

AWS Big Data

JULY 25, 2024

Instead of a central data platform team with a data warehouse or data lake serving as the clearinghouse of all data across the company, a data mesh architecture encourages distributed ownership of data by data producers who publish and curate their data as products, which can then be discovered, requested, and used by data consumers.

Data Lake 116

Data Lake Metadata Sales Publishing 116

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

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 110

Snapshot Metadata Cost-Benefit Data Architecture 110

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

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

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 109

Metadata Data Lake Data Processing Data-driven 109

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

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

DECEMBER 5, 2024

Hydro is powered by Amazon MSK and other tools with which teams can move, transform, and publish data at low latency using event-driven architectures. In the future, we plan to profile workloads based on metadata, cross-check them with capacity metrics, and place them in the appropriate MSK cluster.

Metrics 98

Metrics Dashboards Testing Optimization 98

AWS Big Data

FEBRUARY 26, 2025

This launch brings together widely adopted AWS machine learning (ML) and analytics capabilities and provides an integrated experience for analytics and AI with unified access to data and built-in governance. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data. With AWS Glue 5.0,

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

AWS Big Data

MAY 1, 2024

Solution overview OneData defines three personas: Publisher – This role includes the organizational and management team of systems that serve as data sources. Provide and keep up to date with technical metadata for loaded data. Use the latest data published by the publisher to update data as needed.

Dashboards 124

Dashboards Publishing Data-driven Cost-Benefit 124

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

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 111

Data Architecture Optimization Data Warehouse Metadata 111

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 102

Metadata Machine Learning Unstructured Data Data Lake 102

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 117

Data Lake Metadata Data Warehouse Data Processing 117

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 90

Reporting Data Warehouse Data Lake Machine Learning 90

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

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

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 100

Data Governance Enterprise Data Quality Metadata 100

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

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

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 98

Finance Metadata Big Data Recreation/Entertainment 98