IBM Big Data Hub

APRIL 13, 2023

Here are some of the key tables: FLIGHT_DECTREE_MODEL: this table contains metadata about the model. Examples of metadata include depth of the tree, strategy for handling missing values, and the number of leaf nodes in the tree. I use these counts to compute a few evaluation metrics for the model. The count is 4981.

Modeling 82

Modeling Statistics Machine Learning Testing 82

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. Download upper and column-to-column lineage to Excel/CSV in order to document, verify development and change requests. We call this feature: Expand. Column-to-column lineage.

OLAP 58

OLAP Metadata Visualization Data Processing 58

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? These goals must also be SMART— Specific, Measurable, Attainable, Relevant, and Time-based. To measure failure vs. success, governance leaders must actively monitor all governance efforts. Data governance is a system for answering core questions about data.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Octopai

JULY 9, 2020

By adopting automated data lineage and automated metadata tagging, companies have the opportunity to increase their data processing speed. Not only did the banks need to implement these risk-measurement systems (which depend on metrics arriving from distinct data dictionary tools), they also needed to produce reports documenting their use.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

AWS Big Data

NOVEMBER 3, 2023

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 88

Metrics Dashboards Metadata Visualization 88

AWS Big Data

MAY 16, 2024

With the new REST API, you can now invoke DAG runs, manage datasets, or get the status of Airflow’s metadata database, trigger, and scheduler—all without relying on the Airflow web UI or CLI. To learn more about the Airflow REST API and its various endpoints, refer to the Airflow documentation.

Testing 90

Testing Interactive Metrics Management 90

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

Ontotext

FEBRUARY 16, 2023

In text analytics, the human benchmark is a set of documents manually annotated by human experts. You’ll also be able to establish an inter-annotator agreement (IAA) metric. 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?

Metadata 59

Metadata Measurement Metrics Modeling 59

AWS Big Data

NOVEMBER 16, 2023

Redshift provisioned clusters also support query monitoring rules to define metrics-based performance boundaries for workload management queues and the action that should be taken when a query goes beyond those boundaries. A predicate consists of a metric, a comparison condition (=, ), and a value.

Enterprise 85

Enterprise Data Warehouse Snapshot Cost-Benefit 85

Alation

FEBRUARY 13, 2020

What it does for us is that it goes out and pulls all of the metadata in from a variety of platforms that we have data stored on, and it actually allows us to collaborate and define and propagate out information about what the data is. That’s one of the key metrics that we’re always measuring. It’s difficult.

Digital Transformation 52

Digital Transformation Data-driven Business Intelligence Big Data 52

Alation

SEPTEMBER 7, 2021

Once you have policies in place, you need to ensure that data stewards can track and measure their activities. Stewards are able to apply policies and documentation in bulk to meet growing demands. The catalog marries business-level metadata with data governance information from Snowflake – making the life of a steward simpler.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

AWS Big Data

JANUARY 10, 2024

The query is run locally on each shard and matched documents are returned to the coordinator node. In an OpenSearch Service cluster, the active and standby zones can be checked at any time using Availability Zone rotation metrics, as shown in the following screenshot.

Metadata 97

Metadata Broadcasting Data Processing Modeling 97

IBM Big Data Hub

FEBRUARY 22, 2024

But it’s equally important that they have a deep understanding of the risks and limitations of AI and how to implement the appropriate security measures and ethics guardrails. Note: These measures of responsibility must be interpretable by AI non-experts (without “mathsplaining”).

Metadata 93

Metadata Measurement Risk Modeling 93

AWS Big Data

JULY 26, 2023

This enables you to process a user’s query to find the closest vectors and combine them with additional metadata without relying on external data sources or additional application code to integrate the results. The vector engine’s compute capacity used for data ingestion, and search and query are measured in OpenSearch Compute Units (OCUs).

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

IBM Big Data Hub

OCTOBER 12, 2023

Among the tasks necessary for internal and external compliance is the ability to report on the metadata of an AI model. Metadata includes details specific to an AI model such as: The AI model’s creation (when it was created, who created it, etc.)

Cost-Benefit 77

Cost-Benefit Metadata Data Governance Modeling 77

AWS Big Data

JANUARY 22, 2024

They classified the metrics and indicators in the following categories: Data usage – A clear understanding of who is consuming what data source, materialized with a mapping of consumers and producers. The success of the implementation meant assessing various aspects of the data infrastructure, data management, and business outcomes.

Data-driven 86

Data-driven Advertising Metadata Data Architecture 86

Alation

OCTOBER 12, 2022

From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. Measures of central tendency. These terms that cannot aggregate, like a percentage, are often called non-aggregatable metrics. Percentages. What Is Quantitative Data Analysis?

Statistics 52

Statistics Sales Testing Marketing 52

AWS Big Data

JANUARY 25, 2023

The refresh interval (the time from when a document is ingested by OpenSearch Serverless to when it is available to search) is currently under 15 seconds. The compute capacity used for data ingestion, and search and query is measured in OpenSearch Compute Units (OCUs). This model also helps pack more data while controlling the costs.

Management 110

Management Dashboards Metadata Modeling 110

Grooper

OCTOBER 23, 2019

By measuring performance, they drive improvements through necessary process and workflow changes. It simply takes the right resources and a measured approach to get there. As Peter Drucker so famously said, “If you can’t measure it, you can’t improve it.” You must be able to measure your performance. They are: Vision.

Metrics 59

Metrics Measurement Strategy Optimization 59

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. I would have to admit that there are few documents that talk about all the connections across any set of topics. – Yes and no.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Sisense

SEPTEMBER 3, 2019

Think of it like something that houses the metrics used to power daily, weekly, or monthly business KPIs. This results in less joins between the metric data in fact tables, and the dimensions. These combine the dimensions and fact tables and pre-aggregate the metrics to simplify reporting. roll-ups of many rows of data).

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Alation

FEBRUARY 17, 2023

Reichental describes data governance as the overarching layer that empowers people to manage data well ; as such, it is focused on roles & responsibilities, policies, definitions, metrics, and the lifecycle of the data. First, document your successes of good data, and how it happened. Establishing a solid vision and mission is key.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

AWS Big Data

AUGUST 14, 2023

How do we define “risk” and “value” in the context of data products, and how can we measure this? Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on).

Management 80

Management Risk Measurement Optimization 80

Alation

NOVEMBER 22, 2022

Quantifying effectiveness with metrics. Data breach mitigation measures. A well-governed data landscape enables data users in the public sector to better understand the driving forces and needs to support public policy – and measure impact once a change is made. Choose Storage Options That Centralize Metadata.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

DataKitchen

JANUARY 23, 2023

Data testing is an essential aspect of DataOps Observability; it helps to ensure that data is accurate, complete, and consistent with its specifications, documentation, and end-user requirements. This includes other information such as data quality metrics, processing steps, timing, data test results, and more.

Testing 130

Testing Data Governance Data Quality Data-driven 130

Jet Global

MAY 1, 2023

As a result, end users can better view shared metrics (backed by accurate data), which ultimately drives performance. Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. They can also create custom calculations and metrics, and build new data visualizations.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52