Andrew White

JANUARY 12, 2021

By 2024, organizations that utilize active metadata to enrich and deliver a dynamic data fabric will reduce time to integrated data delivery by 50% and improve the productivity of data teams by 20%.

Analytics 144

Analytics Metadata Enterprise Data-driven 144

Cloudera

OCTOBER 7, 2021

A data mesh can be defined as a collection of “nodes”, typically referred to as Data Products, each of which can be uniquely identified using four key descriptive properties: . Data and Metadata: Data inputs and data outputs produced based on the application logic. Key Design Principles of a Data Mesh.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Sisense

MAY 18, 2020

However, Sisense’s natural language query (NLQ) interface, combined with content recommendations from knowledge graphs , can help users of all technical skill levels get more from their data. We caught up with Dr. Yael Lev , to learn more about knowledge graphs and the role they play in the democratization of data.

Analytics 98

Analytics Digital Transformation Data-driven Sales 98

AWS Big Data

MAY 10, 2023

The Multi-AZ with Standby feature deploys infrastructure in three Availability Zones, while keeping two zones as active and one zone as standby. During normal operations, the active zone serves coordinator traffic for read and write requests and shard query traffic, and only replication traffic goes to the standby zone.

Snapshot 119

Snapshot Testing Metadata Management 119

AWS Big Data

MARCH 29, 2024

In this post, we explore how to connect QuickSight to Amazon CloudWatch metrics and build graphs to uncover trends in AWS Glue job observability metrics. With this integration, you can use line charts, bar charts, and other graph types to uncover daily, weekly, and monthly patterns.

Metrics 128

Metrics Visualization Dashboards Publishing 128

CIO Business Intelligence

DECEMBER 21, 2022

For businesses to stay in touch with the market, be responsive, and create products that connect with consumers, it’s important to harness the insights that come out of that information.” For example, say a stakeholder thinks one certain product line is the most profitable,” she says. “I And key to this is the metadata management.”

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

AWS Big Data

SEPTEMBER 7, 2023

These logs can track activity, such as data access patterns, lifecycle and management activity, and security events. AWS Glue Data Catalog stores information as metadata tables, where each table specifies a single data store. Running the crawler on a schedule updates AWS Glue Data Catalog with new partitions and metadata.

Metadata 116

Metadata Dashboards Metrics Visualization 116

AWS Big Data

MARCH 26, 2024

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. You also need to provide tools that make it straightforward for your teams to build products that mature your C360. The following figure shows some of the metrics derived from the study.

Data Strategy 99

Data Strategy Strategy Data Warehouse Prescriptive Analytics 99

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs can help do both. Knowledge graphs coupled with text analysis (TA) is a proven solution for preserving institutional memory through a passive collection of knowledge, enabling users to bring value to the company and preserve institutional memory without the burden of an additional and highly tedious data entry task.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Sisense

AUGUST 21, 2020

It was only natural for us here at Sisense to put significant investment into knowledge graphs, NLP, and automated machine learning. Together, they enable users to actively engage with the system, enjoying recommendations along with analysis. Trend 3: Decision intelligence. Trend 5: Augmented data management.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Occam's Razor

APRIL 8, 2013

This also keeps you honest, because everyone recognizes the point of the activity beforehand. Maybe they analyzed the metadata from pictures and found that there was a strong correlation between properties that rented often and expensive camera models. The graph is impressive, right? One Metric That Matters: User engagement.

Metrics 157

Metrics Analytics KPI Key Performance Indicator 157

AWS Big Data

AUGUST 6, 2024

The Amazon Global Transportation Technology Services (GTTS) team owns a set of products called INSITE (Insights Into Transportation Everywhere). These products are user-facing applications that solve specific business problems across different transportation domains: network topology management, capacity management, and network monitoring.

Cost-Benefit 111

Cost-Benefit Metadata Snapshot Metrics 111

Ontotext

DECEMBER 16, 2020

In 2020, we continued to develop our leading database engine for management of knowledge graphs, GraphDB , and expanded it with a lot of new functionalities. We also continued to improve our knowledge graph platform. From Data Silos to Data Fabric with Knowledge Graphs. Check out Ontotext Platform 3.1 , 3.2 , and 3.3.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

Ontotext

MAY 5, 2023

Ontologies can be applied to collections of facts to create knowledge graphs. and product (What?). The following diagram shows a part of this graph, centered around legal entities. share their expertise in building an in-house knowledge graph.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Alation

JANUARY 25, 2022

A data fabric utilizes continuous analytics over existing, discoverable, and inferred metadata assets to support the design, deployment, and utilization of integrated and reusable data across all environments, including hybrid and multi-cloud platforms.” Data Catalog: To access and represent all metadata types.

Metadata 52

Metadata IT Data-driven Metrics 52

Ontotext

JULY 13, 2023

For example, offering more of the same product or content instead of complementary items Analytics tools that don’t really support decision making Chatbots that fail the Alan Turing test You name it! How can you build knowledge graphs for enterprise applications? They own two of the top-rated knowledge graph products on the market.

Enterprise 52

Enterprise Metadata Digital Transformation Data Integration 52

Ontotext

JULY 12, 2024

Graph technologies are essential for managing and enriching data and content in modern enterprises. A great partner ecosystem is the key to covering the requirements of end-to-end solutions and rolling out knowledge graphs at scale. As a result, enterprises can fully unlock the potential hidden knowledge that they already have.

Enterprise 59

Enterprise Cost-Benefit Metadata Data Integration 59

Alation

MAY 24, 2022

Additionally, a set of key features will accelerate data governance and simplify the security of sensitive metadata. SmartSuggestions — In Compose, Alation’s SQL editor, AI-powered suggestions actively show query writers relevant data to use as they query. In the latest release of Alation, 2022.2, Our Data Quality Journey.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Alation

AUGUST 18, 2022

Active metadata will play a critical role in automating such updates as they arise. The fundamental value proposition of lineage is increased productivity. Thomas McCabe’s Cobol control-flow graphs laid the groundwork for data lineage as we know it today. Why Focus on Lineage? Consumption flexibility. Final Thoughts.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

Ontotext

AUGUST 5, 2020

Each of the four FAIR principles calls for data and metadata to be easily found, accessed, understood, exchanged and reused. FAIR data is data that is: Findable is such data in which data and metadata are assigned a globally unique and persistent identifier so that computers can easily find it. Why Is FAIR Data Important?

Metadata 52

Metadata Insurance Manufacturing Data Integration 52

Ontotext

FEBRUARY 7, 2024

It also requires an efficient process of creating, acquiring, and integrating standardized information types into all information-driven R&D activities. So, on one hand, we can see our schema as a vocabulary that has different names and different standards, and, on the other, we can see it as a metadata object.

Metadata 52

Metadata Data Integration Measurement Data-driven 52

Ontotext

FEBRUARY 3, 2022

For hundreds of years, a single craftsman working in isolation could produce a product – a cobbler made shoes, a smith made tools, and a cartwright made wagons. By organizing the labor of many people around an assembly line, factories produced products faster than ever. Knowledge graphs can help with both. See figure 1.).

Manufacturing 52

Manufacturing IoT Internet of Things Interactive 52

Alation

AUGUST 11, 2022

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. Mitesh Shah, VP, Product Marketing, Alation: Data fabric, data mesh, modern data stack. I recently had the opportunity to connect with Mohan at Snowflake Summit 2022 in Las Vegas.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

SEPTEMBER 15, 2022

In a modern data platform, this step involves key source data activities, including inventory, profiling, acquisition, and ingestion. The second element is the link between the raw source data in the foundation layer, and the data products that are delivered in what RI defines as the “integrated layer.” What is a data fabric?

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. RED’s technological capabilities RED allows you to perform knowledge graph-backed information extraction , based on a predefined event extraction schema.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Ontotext

SEPTEMBER 7, 2023

And then from there, give us the elevator pitch of graph. We’ve been around for 20-plus years focusing on semantic knowledge graphs. Graph technologies are a way to store and represent data in a more graphical way. That’s one of the key things I look at from graphs. Doug : Sure. Would you agree?

Technology 59

Technology Visualization Digital Transformation Management 59

Alation

MARCH 1, 2022

Users can now manually add and enrich the lineage graph through the user interface directly. This ability to add more nuanced data objects to the lineage graph represents a major benefit for all users, as these features enhance the level of control and insight for the Alation user community. Deep connectivity is the answer. In 2022.1,

Data Warehouse 52

Data Warehouse Data Lake Risk Data-driven 52

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. An active approach to data governance is a better option. The Alation data catalog enables active data governance. Key Attributes of Active Data Governance: You Must Be Able to: Find Trusted Data. Meet Governance Requirements.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

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.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

AWS Big Data

APRIL 28, 2023

This will include how to configure Okta, AWS Lake Formation , and a business intelligence tool to enable SAML-based federated use of Athena for an enterprise BI activity. This architecture enables data governance on distributed data domains, using an end-to-end solution to create data products and providing federated data access control.

Data Governance 72

Data Governance Management Data-driven Analytics 72

Cloudera

SEPTEMBER 6, 2018

Support machine learning (ML) algorithms and data science activities, to help with name matching, risk scoring, link analysis, anomaly detection, and transaction monitoring. Having fast online access to years of AML data helps with investigations and data science activities.

Machine Learning 40

Machine Learning Big Data Risk Data Science 40

Domino Data Lab

JULY 22, 2019

If you were out five years ago talking in industry about the importance of graphs and graph algorithms and representation of graph data, because most business data ultimately is some form of graph. I know, I did that. That leads to what Andrew Ng has famously called “the virtuous cycle of data.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

AUGUST 7, 2023

For instance, in response to sustainability trends, product manufacturers may need to prove the carbon footprint of their products to regulators and clients. By doing so, it not only serves as a safeguard against potential disputes and fraudulent activities, but also fosters an environment of trust and reliability.

Data Governance 62

Data Governance Manufacturing Interactive IoT 62

Ontotext

MARCH 22, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. One group of events that fact-checkers are actively looking for in posts is climate change events, such as wildfires, hurricanes, or earthquakes.

Modeling 59

Modeling Metadata Structured Data Publishing 59

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Combining insight and action makes users that much more productive. Even though this second group may not have a revenue-driving “product,” they still need to meet “customer” demand for analytics. Consider Delta.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

AWS Big Data

JANUARY 9, 2025

Vector compression can be achieved through two primary techniques: product quantization and scalar quantization. In the product quantization technique, the original vector dimension array is broken into multiple sub-vectors and each sub-vector is encoded into a fixed number of bits that represent the original vector.

Optimization 105

Optimization Metrics Modeling Key Performance Indicator 105