erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

APRIL 2, 2024

Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case. This reduces the need for time-consuming manual documentation, making data more easily discoverable and comprehensible.

Metadata 85

Metadata Metrics Data-driven Modeling 85

CDW Research Hub

OCTOBER 16, 2019

The importance of metadata. Metadata is best defined as data that characterizes data. Metadata provides the who, what, where, when, why and how of that information. When companies have a properly engineered process to create, store and manage metadata, it benefits all focus areas of the business.

Metadata 40

Metadata Cost-Benefit Metrics Marketing 40

erwin

JUNE 26, 2020

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

MARCH 24, 2023

Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance. To counter that, BARC recommends starting with a manageable or application-specific prototype project and then expanding across the company based on lessons learned.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

SEPTEMBER 17, 2020

It’s paramount that organizations understand the benefits of automating end-to-end data lineage. Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Business terms and data policies should be implemented through standardized and documented business rules.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

datapine

SEPTEMBER 29, 2022

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. These processes could include reports, campaigns, or financial documentation.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Ontotext

FEBRUARY 21, 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. So we can easily integrate the information from both textual documents and structured RDF entities into an LLM-driven application.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. Top Five: Benefits of An Automation Framework for Data Governance. The Benefits of Data Governance Automation.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

AWS Big Data

MARCH 18, 2024

Additionally, we explore the use of Athena workgroups and cost allocation tags to effectively categorize and analyze the costs associated with running analytical queries. Oktank also wants to identify and analyze the costs associated with running analytics queries. Refer to the respective documentation for details.

Data Lake 97

Data Lake Analytics Cost-Benefit Management 97

Rocket-Powered Data Science

FEBRUARY 15, 2023

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? That is: (1) What is it you want to do and where does it fit within the context of your organization? (2) 2) Why should your organization be doing it and why should your people commit to it? (3)

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

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. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

Ontotext

MAY 22, 2023

At the heart of such tools is the extraction of fields from forms or specific attributes from documents. LLMs do most of this better and with lower cost of customization. Luckily, the text analysis that Ontotext does is focused on tasks that require complex domain knowledge and linking of documents to reference data or master data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. It also lets you choose the right engine for the right workload at the right cost, potentially reducing your data warehouse costs by optimizing workloads. Track models and drive transparent processes.

Risk 78

Risk Modeling Management Metadata 78

Cloudera

DECEMBER 10, 2020

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Expected cost benefits, however, often do not materialize.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Ontotext

FEBRUARY 26, 2024

If one can figure out how to effectively reuse rockets, just like airplanes, the cost of access to space will be reduced by as much as a factor of a hundred.” ” Elon Musk SpaceX succeeded in building reusable rockets, drastically reducing the cost of sending them into orbit or taking astronauts to the International Space Station.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

erwin

JANUARY 24, 2019

With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. In data governance terms, an automation framework refers to a metadata-driven universal code generator that works hand in hand with enterprise data mapping for: Pre-ETL enterprise data mapping.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

DataKitchen

AUGUST 8, 2023

Data Observability leverages five critical technologies to create a data awareness AI engine: data profiling, active metadata analysis, machine learning, data monitoring, and data lineage. Like an apartment blueprint, Data lineage provides a written document that is only marginally useful during a crisis. Which report tab is wrong?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

erwin

MAY 1, 2023

The erwin Data Vault Automation solution reduces Data Vault implementation time and cost by up to 70% The erwin Data Vault Automation solution automates the manual processes associated with designing, deploying, documenting and maintaining Data Vaults and provides professional services to assist you in achieving success.

Cost-Benefit 52

Cost-Benefit Data Governance Metadata Data-driven 52

Ontotext

FEBRUARY 14, 2024

The combination of speed, accuracy and scale makes CEEL an effective and cost-efficient system for extracting entities, even when talking about web-scale datasets. CEEL is now immediately available as part of our text analysis offerings, coming preconfigured as part of the new version of the Ontotext Metadata Studio (OMDS).

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

erwin

APRIL 2, 2021

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Providing metadata and value-based analysis: Discovery and classification of sensitive data based on metadata and data value patterns and algorithms.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Octopai

MARCH 24, 2020

Let’s start with automated tools that foster the seamless interaction of multiple metadata best practices, such as data discovery, data lineage and the use of a business glossary. Here is an overview of how automated metadata management makes your business intelligence smarter. Technology that makes Business Intelligence Intelligent.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

Cloudera

AUGUST 31, 2021

Yet, these legacy solutions are showing their age and can no longer meet these new demands in a cost-effective manner. It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Consideration of both data & metadata in the migration.

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Octopai

AUGUST 26, 2021

Data catalogs are based on metadata – the data about your data, and all that metadata is used to populate your data catalog (which some consider to also be a metadata catalog). How do you collect the relevant metadata and get it where it needs to go? Metadata can change. It’s time to go harvesting.

Metadata 52

Metadata Cost-Benefit Data Collection Reporting 52

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 82

Cost-Benefit Metadata Structured Data Management 82

AWS Big Data

JULY 25, 2023

In the event of data loss, Alcion customers need to search metadata for the backed-up items (files, emails, contacts, events, and so on) to select specific item versions for restore. To reduce costs and operational burden, the team turned to OpenSearch Serverless, which offers auto-scaling capability.

Cost-Benefit 70

Cost-Benefit Modeling Management Optimization 70

erwin

MAY 2, 2022

One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. I’m not proposing that business logic be held in the database, but it needs to be documented in the data model even if it will be implemented in application code. Figure 1: Amazon Cloud cost calculator.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Ontotext

JANUARY 6, 2021

According to this article , it costs $54,500 for every kilogram you want into space. It has been suggested that their Falcon 9 rocket has lowered the cost per kilo to $2,720. Once that is done, data can be transformed and enriched with metadata to facilitate analysis. Knowledge graphs help with data analysis in a number of ways.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale. For updates, previous versions of the old values of a record may be retained until a similar process is run.

Data Lake 109

Data Lake Metadata Optimization Statistics 109

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. With the vector engine, you don’t have to worry about sizing, tuning, and scaling the backend infrastructure.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

AWS Big Data

MARCH 25, 2024

A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base. Amazon S3 provides a trigger to invoke an AWS Lambda function when a new document is stored. With a large number of documents, this process can be inefficient.

Data Lake 86

Data Lake Unstructured Data Management Modeling 86

AWS Big Data

NOVEMBER 16, 2023

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability.

Enterprise 80

Enterprise Data Warehouse Snapshot Cost-Benefit 80

Octopai

APRIL 8, 2020

Investors then paid whatever was asked without any information to justify the cost. In order to comply, banks needed to implement tools making risk reports more accessible using: Automated data discovery functions Documented flow of data through all systems or data lineage capability Visual representation of data movement.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

BI-Survey

FEBRUARY 23, 2023

Ultimately, it is the people in the company who have to change their behavior and mindset in order to benefit from the ever-increasing amount of data available to them. Almost three quarters of respondents also state that they have recognized the need to invest in ways to access, link and understand metadata.

Metadata 52

Metadata Data-driven Data Strategy Strategy 52

DataRobot Blog

MAY 10, 2022

The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States. Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework?

Risk 64

Risk Modeling Machine Learning Data Quality 64

Cloudera

JULY 14, 2023

However, as there are already 25 million terabytes of data stored in the Hive table format, migrating existing tables in the Hive table format into the Iceberg table format is necessary for performance and cost. Query engines (Impala, Hive, Spark) might mitigate some of these problems by using Iceberg’s metadata files.

Snapshot 70

Snapshot Metadata Data Warehouse Testing 70

Cloudera

DECEMBER 9, 2022

Existing NiFi users can now bring their NiFi flows and run them in our cloud service by creating DataFlow Deployments that benefit from auto-scaling, one-button NiFi version upgrades, centralized monitoring through KPIs, multi-cloud support, and automation through a powerful command-line interface (CLI).

Testing 97

Testing Cost-Benefit Interactive Visualization 97