AWS Big Data

JANUARY 15, 2025

From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog. The data in the central data warehouse in Amazon Redshift is then processed for analytical needs and the metadata is shared to the consumers through Amazon DataZone. This process is shown in the following figure.

IoT 111

IoT Machine Learning Metadata Data-driven 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. With Lake Formation, creating these duplicates is no longer necessary.

Data Lake 109

Data Lake Sales Metadata Machine Learning 109

erwin

JUNE 26, 2020

Data catalogs combine physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals in certain circumstances. You also can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

OCTOBER 21, 2024

This platform will incorporate robust cataloging, making sure the data is easily searchable, and will enforce the necessary security and governance measures for selective sharing among business stakeholders, data engineers, analysts, security and governance officers. Amazon Athena is used to query, and explore the data.

Sales 115

Sales Data-driven Data Processing Key Performance Indicator 115

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. Design-layer metadata can also be connected from conceptual through logical to physical data models.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

O'Reilly on Data

JUNE 19, 2019

A catalog of validation data sets and the accuracy measurements of stored models. Metadata and artifacts needed for a full audit trail. Measuring online accuracy per customer / geography / demographic group is important both to monitor bias and to ensure accuracy for a growing customer base.

Modeling 258

Modeling Machine Learning Testing Metrics 258

O'Reilly on Data

MARCH 31, 2020

You might have millions of short videos , with user ratings and limited metadata about the creators or content. Job postings have a much shorter relevant lifetime than movies, so content-based features and metadata about the company, skills, and education requirements will be more important in this case.

Management 363

Management Machine Learning Experimentation Metrics 363

Ontotext

FEBRUARY 16, 2023

This measures the consistency of annotations when more than one person is involved in the process. What Are The Benefits Of Using Ontotext Metadata Studio? Ontotext Metadata Studio’s modeling power and flexibility enables out-of-the-box rapid NLP prototyping and development.

Metadata 59

Metadata Measurement Metrics Modeling 59

AWS Big Data

DECEMBER 5, 2023

For the files with unknown structures, AWS Glue crawlers are used to extract metadata and create table definitions in the Data Catalog. These table definitions are used as the metadata repository for external tables in Amazon Redshift.

Measurement 105

Measurement Dashboards Data Warehouse Analytics 105

TDAN

NOVEMBER 15, 2022

Common themes were the growing importance of governance metadata, especially in the areas of business value, success measurement and reduction in operational and data risk. The future lies in metadata management. Governance metadata management […].

Metadata 52

Metadata Management Data Governance Measurement 52

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

O'Reilly on Data

JANUARY 28, 2019

Consent" in medicine is limited: whether or not you understand what you're consenting to, you are consenting to a single procedure (plus emergency measures if things go badly wrong). The doctor can't come back and do a second operation without further consent.

Insurance 247

Insurance Metadata Data Collection Marketing 247

AWS Big Data

OCTOBER 11, 2023

The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. HandleTime – This customer service metric measures the length of a customer’s call. Use the following code: import boto3 import json # Create S3 object s3_client = boto3.client("s3")

Management 131

Management Metadata Analytics Dashboards 131

CIO Business Intelligence

SEPTEMBER 23, 2024

Without a way to define and measure data confidence, AI model training environments, data analytics systems, automation engines, and so on must simply trust that the data has not been simulated, corrupted, poisoned, or otherwise maliciously generated—increasing the risks of downtime and other disasters.

Manufacturing 122

Manufacturing Internet of Things Metadata Risk 122

Alation

AUGUST 18, 2022

Active metadata will play a critical role in automating such updates as they arise. This has been the dominant approach for nearly 50 years, and in my opinion, was born out of the work of Thomas McCabe in the 1970’s to measure the complexity of Cobol programs. Why Focus on Lineage? Support for all technologies.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

erwin

JUNE 22, 2020

Now that pulling stakeholders into a room has been disrupted … what if we could use this as 40 opportunities to update the metadata PER DAY? Overcoming the 80/20 Rule with Micro Governance for Metadata. What if we could buck the trend, and overcome the 80/20 rule?

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

Smarten

NOVEMBER 26, 2024

It shows the quality of the dataset and number of columns with listing down the missing values, duplicates, and measure and dimension columns. Column Metadata – Provides information on the dataset’s recency, such as the last update and publication dates.

Machine Learning 62

Machine Learning Data Quality Predictive Modeling Metadata 62

AWS Big Data

NOVEMBER 3, 2023

The metadata is extracted from each job run, including information like runtime, start time, end time, auto scaling, number of workers, and worker type, and is written to an Amazon DynamoDB table with TTL (time to live) enabled to ensure the table doesn’t grow too large. If the tables don’t exist, Athena creates them.

Metrics 115

Metrics Dashboards Metadata Visualization 115

DataKitchen

OCTOBER 11, 2021

Finally, when your implementation is complete, you can track and measure your process. Monitoring Job Metadata. Figure 7 shows how the DataKitchen DataOps Platform helps to keep track of all the instances of a job being submitted and its metadata. DataOps Project Design and Implementation.

Testing 152

Testing Metadata Dashboards Statistics 152

Cloudera

NOVEMBER 13, 2020

Metadata Caching. This is used to provide very low latency access to table metadata and file locations in order to avoid making expensive remote RPCs to services like the Hive Metastore (HMS) or the HDFS Name Node, which can be busy with JVM garbage collection or handling requests for other high latency batch workloads.

Optimization 143

Optimization Metadata Statistics Cost-Benefit 143

AWS Big Data

DECEMBER 5, 2024

To perform the tests within a specific time frame and budget, we focused on the test scenarios that could efficiently measure the cluster’s capacity. It’s a preventative measure rather than a reactive response to a performance degradation. The following figure shows an example of a test cluster’s performance metrics.

Metrics 97

Metrics Dashboards Testing Optimization 97

Cloudera

JULY 10, 2024

Observability for your most secure data For your most sensitive, protected data, we understand even the metadata and telemetry about your workloads must be kept under close watch, and it must stay within your secured environment. Wouldn’t it be great if you could also have some observability into what tables are hot and cold?

Cost-Benefit 99

Cost-Benefit Metadata Optimization Measurement 99

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. The following graph shows performance improvements measured by the total query runtime (in seconds) for the benchmark queries. With Amazon EMR 6.10.0

Metadata 119

Metadata Statistics Broadcasting Optimization 119

Octopai

APRIL 11, 2021

The Digital Charter covers aspects of digital policy ranging from increased digital access for Canadians to measures that protect democracy and accurately identify hate speech. A key system to smooth out the bumps is a metadata management platform that includes automated data discovery and automated data lineage. Well, not quite yet.

Metadata 52

Metadata Management Measurement IT 52

Octopai

JUNE 19, 2023

It involves defining data standards, access controls, and data quality measures. Use Existing Catalog Metadata Standards Ensuring consistency and interoperability within your data catalog involves defining catalog metadata standards and data models. Such standards may stipulate uniform headers, mandatory descriptions, etc.,

Metadata 98

Metadata Data Governance Measurement Risk Management 98

DataKitchen

JUNE 24, 2021

Chapin also mentioned that measuring cycle time and benchmarking metrics upfront was absolutely critical. “It It takes them out of the craft world of people talking to people and praying, to one where there’s constant monitoring, constant measuring against baseline. [It Design for measurability. DataOps Maximizes Your ROI.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

DataKitchen

MAY 4, 2023

A domain is a unit that includes integrated or raw data, artifacts created from data, the code that acts upon the data, the team responsible for the data, and metadata such as data catalog, lineage, and processing history. Chris talks about the idea of a ‘domain’ as a principle of Data Mesh.

Measurement 130

Measurement Data-driven Testing Cost-Benefit 130

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

David Menninger's Analyst Perspectives

MAY 8, 2025

However, the software providers Intelligent Data Management Cloud addresses data-related capabilities, including data cataloging and metadata management, data engineering, application and application programming interface integration, data quality and observability, master data management, data sharing and data governance.

130

130

Alation

FEBRUARY 3, 2022

This process embeds continuous improvement into the system through steps that monitor and measure performance to (1) glean insights and (2) integrate those lessons into the governance system. In other words, leaders must clarify how things will be governed, who is responsible, and how success or failure will be measured.

Data Governance 98

Data Governance Measurement Metadata Testing 98

AWS Big Data

JANUARY 16, 2024

Within Airflow, the metadata database is a core component storing configuration variables, roles, permissions, and DAG run histories. A healthy metadata database is therefore critical for your Airflow environment. The third component is for creating and storing backups of all configurations and metadata that is required to restore.

Strategy 111

Strategy Metadata Metrics Dashboards 111

Occam's Razor

APRIL 8, 2013

First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do. For each of them, write down the KPI you're measuring, and what that KPI should be for you to consider your efforts a success. Measure and decide what to do.

Metrics 157

Metrics Analytics KPI Key Performance Indicator 157

erwin

APRIL 16, 2021

The webinar looked at how to gauge the maturity and progress of data governance programs and why it is important for both IT and the business to be able to measure success. This webinar will discuss how to answer critical questions through data catalogs and business glossaries, powered by effective metadata management.

Data Governance 128

Data Governance Metadata Cost-Benefit Data-driven 128

CIO Business Intelligence

SEPTEMBER 11, 2024

According to Oracle, the automated transaction records feature would enable enterprises to increase the speed, accuracy, and transparency of sustainability reporting by using AI , classification rules, and sustainability metadata attributes to automatically create activity records and add transactions to a sustainability ledger.

Contextual Data 116

Contextual Data Key Performance Indicator Dashboards Data-driven 116

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 97

Analytics Data Warehouse Data Lake Metadata 97