TDAN

AUGUST 31, 2021

Data is everywhere! But can you find the data you need? What can be done to ensure the quality of the data? How can you show the value of investing in data? Can you trust it when you get it? These are not new questions, but many people still do not know how to practically […].

Data Quality 105

Data Quality IT Metadata Data Governance 105

erwin

DECEMBER 9, 2024

Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk? We will tackle all these burning questions and more in this article. And lets not forget about the controls.

Metadata 52

Metadata Data Quality Sales Modeling 52

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. First, a set of initial metadata objects are created by the data steward. A business metadata collection called “Project.”

Metadata 73

Metadata Data Governance Management Finance 73

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.

Metadata 59

Metadata Management Business Intelligence Data Governance 59

TDAN

MAY 1, 2024

Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why would I even ask this question in the article title?

Metadata 52

Metadata Management Data Quality IT 52

DataKitchen

OCTOBER 20, 2023

While this is a technically demanding task, the advent of ‘Payload’ Data Journeys (DJs) offers a targeted approach to meet the increasingly specific demands of Data Consumers. Deploying a Data Journey Instance unique to each customer’s payload is vital to fill this gap.

Insurance 169

Insurance Metadata Data-driven Data Quality 169

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. Scalability and elasticity. Public API.

Metadata 56

Metadata Machine Learning Data Quality Statistics 56

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. First, a set of initial metadata objects are created by the data steward. A business metadata collection called “Project.”

Metadata 52

Metadata Data Governance Management Finance 52

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

TDAN

DECEMBER 5, 2023

In part one of “Metadata Governance: An Outline for Success,” I discussed the steps required to implement a successful data governance environment, what data to gather to populate the environment, and how to gather the data.

Metadata 52

Metadata Data Governance Data Quality Business Intelligence 52

Grooper

MARCH 5, 2020

Lower cost data processes. This article is will help you understand the critical role of information stewardship as it relates to data and analytics. These stewards monitor the input and output of data integrations and workflows to ensure data quality. More effective business process execution.

Data Lake 98

Data Lake Metadata Data Quality Software 98

Ontotext

JULY 29, 2021

KGs bring the Semantic Web paradigm to the enterprises, by introducing semantic metadata to drive data management and content management to new levels of efficiency and breaking silos to let them synergize with various forms of knowledge management. The RDF data model and the other standards in W3C’s Semantic Web stack (e.g.,

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Cloudera

DECEMBER 15, 2022

With in-place table migration, you can rapidly convert to Iceberg tables since there is no need to regenerate data files. Only metadata will be regenerated. Newly generated metadata will then point to source data files as illustrated in the diagram below. . Data quality using table rollback.

Metadata 80

Metadata Data Warehouse Snapshot Machine Learning 80

erwin

MARCH 14, 2019

(BFSI, PHARMA, INSURANCE AND NON-PROFIT) CASE STUDIES FOR AUTOMATED METADATA-DRIVEN AUTOMATION. As well as introducing greater efficiency to the data governance process, automated data mapping tools enable data to be auto-documented from XML that builds mappings for the target repository or reporting structure.

Metadata 81

Metadata Data Governance Data-driven Digital Transformation 81

Octopai

JANUARY 31, 2021

The particular episode we recommend looks at how WeWork struggled with understanding their data lineage so they created a metadata repository to increase visibility. Agile Data. Another podcast we think is worth a listen is Agile Data. Techcopedia follows the latest trends in data and provides comprehensive tutorials.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

IBM Big Data Hub

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. Apache Kafka transfers data without validating the information in the messages. Kafka does not examine the metadata of your messages. What’s next?

Data Quality 96

Data Quality Metadata Data-driven Optimization 96

Cloudera

AUGUST 30, 2022

But while state and local governments seek to improve policies, decision making, and the services constituents rely upon, data silos create accessibility and sharing challenges that hinder public sector agencies from transforming their data into a strategic asset and leveraging it for the common good. .

Data Architecture 79

Data Architecture Data Lake Data Warehouse Metadata 79

Alation

JULY 19, 2022

A data catalog can assist directly with every step, but model development. And even then, information from the data catalog can be transferred to a model connector , allowing data scientists to benefit from curated metadata within those platforms. How Data Catalogs Help Data Scientists Ask Better Questions.

Metadata 59

Metadata Data Quality Statistics Data Science 59

CIO Business Intelligence

JUNE 12, 2024

“Most enterprise data is unstructured and semi-structured documents and code, as well as images and video. For example, gen AI can be used to extract metadata from documents, create indexes of information and knowledge graphs, and to query, summarize, and analyze this data.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

datapine

JANUARY 31, 2022

Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses. Renowned author Bernard Marr wrote an insightful article about Shell’s journey to become a fully data-driven company. Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

TDAN

SEPTEMBER 7, 2022

Fit for Purpose data has been a foundational concept of Data Governance for as long as I’ve been in the field…so that’s 10-15 years now. Most data quality definitions take Fit-for-Purpose as a given.

Data Governance 59

Data Governance Data Quality Metadata Management 59

TDAN

MARCH 16, 2021

The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. Take the […].

Data Governance 105

Data Governance Testing Modeling Data Quality 105

TDAN

JULY 20, 2021

I believe that my strongest articles and columns come from opportunities to work with great companies and organization. A long-time client recently told me that, for their data and […]. Of course, I cannot mention their names. But there is a strong possibility that you may have some of the same opportunities in front of you.

Data Quality 102

Data Quality Metadata Data Governance Data Strategy 102

TDAN

DECEMBER 20, 2022

Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.

Metadata 52

Metadata Data Governance Data Quality Management 52

Cloudera

MARCH 22, 2023

Cloudera Data Platform (CDP) is no different: it’s a hybrid data platform that meets organizations’ needs to get to grips with complex data anywhere, turning it into actionable insight quickly and easily. And, crucial for a hybrid data platform, it does so across hybrid cloud.

Metrics 88

Metrics Data Governance Cost-Benefit Dashboards 88

Alation

JULY 6, 2021

Modern data governance relies on automation, which reduces costs. Automated tools make data governance processes very cost-effective. Machine learning plays a key role, as it can increase the speed and accuracy of metadata capture and categorization. This empowers leaders to see and refine human processes around data.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

TDAN

DECEMBER 17, 2019

If you do a general internet search for data catalogs, all sorts of possibilities emerge. If you look closely, and ask a lot of questions, you will find that some of these products are not actually fully functional data catalogs at all. Some software products start out life-solving a specific use case related to data, […].

Metadata 52

Metadata Software Data Quality Data Integration 52

Alation

MAY 20, 2021

Data search just got better. Alation has upgraded search with ranking that weights valuable social signals, and a new view that shares metadata alongside results. Searchers can now hunt through data domains, with filters that help them spotlight the best asset more quickly. With the latest release of 2021.2, Trust flag text.

Enterprise 52

Enterprise Metadata Machine Learning Data Quality 52

Timo Elliott

JANUARY 5, 2022

This is a English translation of an article by Thérèse van Bellinghen that first appeared on the SAP News Blog. . They discussed how medium and small sized enterprises should handle the digital transformation, and the concrete roles of Data Protection Officers and Innovation Evangelists during this process.

Digital Transformation 115

Digital Transformation Machine Learning Enterprise Data Science 115

Ontotext

JANUARY 6, 2021

According to this article , it costs $54,500 for every kilogram you want into space. That means removing errors, filling in missing information and harmonizing the various data sources so that there is consistency. Once that is done, data can be transformed and enriched with metadata to facilitate analysis.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Cloudera

SEPTEMBER 15, 2022

As shown above, the data fabric provides the data services from the source data through to the delivery of data products, aligning well with the first and second elements of the modern data platform architecture. Mark: Another concept gaining ground is the idea of data observability.

Data Lake 83

Data Lake Data Architecture Data-driven Data Warehouse 83

Wayne Yaddow

FEBRUARY 18, 2025

Some tools, such as Great Expectations and Soda, are dedicated to continuous monitoring and validation, whilst others, such as dbt and Talend Data Integration, are intended for SQL-based transformations or ETL operations. Proper tooling & environment (Python ecosystem for Great Expectations, data warehouse credentials and macros fordbt).

Testing 52

Testing Data Transformation Data-driven Data Quality 52

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk).

Cost-Benefit 75

Cost-Benefit Big Data Technology Metadata 75

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. The third challenge is how to combine data management with analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

CDW Research Hub

MAY 29, 2019

Identify where your company currently stands in data governance, while keeping in mind your master data management plan, data quality goals, data stewardship, data lineage, and metadata. Start to develop a data governance framework. Then, prioritize where you want to be.

Data Governance 40

Data Governance Data Quality Metadata ROI 40

Alation

JUNE 14, 2021

Indeed, automation is a key element to data catalog features, which enhance data security. Selecting a Data Catalog. To support data security, an effective data catalog should have features, like a business glossary, wiki-like articles, and metadata management.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Metadata 97

Alation

JANUARY 25, 2022

As a reminder, here’s Gartner’s definition of data fabric: “A design concept that serves as an integrated layer (fabric) of data and connecting processes. In this blog, we will focus on the “integrated layer” part of this definition by examining each of the key layers of a comprehensive data fabric in more detail.

Metadata 52

Metadata IT Data-driven Metrics 52