erwin

DECEMBER 3, 2020

The answer is radical transformation, made possible by an intelligent, data-driven approach to: New business models. Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. Watch the full webinar. New products and services.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

IBM Big Data Hub

OCTOBER 4, 2022

Multiple unsupported tools for building and deploying models. According to Gartner 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted.” Manual processes that introduce risk and make it hard to scale.

Metadata 102

Metadata Risk Risk Management Experimentation 102

TDAN

JULY 6, 2021

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program. The person asking the question shared their opinion that people in these roles must play a […].

Data Governance 98

Data Governance Modeling Metadata Data Strategy 98

erwin

JANUARY 7, 2021

This year, that will change as semantic metadata comes into its own driven by Microsoft’s Common Data Model (CDM). Metadata and its management and governance are key to organizations being able to fully harness the benefits of their data. Click here to learn more and register.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

Alation

MAY 19, 2022

Active metadata gives you crucial context around what data you have and how to use it wisely. Active metadata provides the who, what, where, and when of a given asset, showing you where it flows through your pipeline, how that data is used, and who uses it most often. Establish what data you have. And its applications are growing.

Metadata 52

Metadata Data Analytics Analytics Data Governance 52

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Through the use of AI and ML, these new catalogs would find all the data and create a new data model much more quickly then before.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

erwin

MAY 18, 2022

Built on the Gartner-recognized DQLabs augmented data quality platform, erwin Data Intelligence’s new data quality offering provides erwin Data Intelligence customers with the ability to leverage erwin Data Catalog metadata to initiate a need for data quality assessment. One is used to feed and accelerate the other. The adventure ahead.

Data Quality 52

Data Quality Metadata Data Governance Software 52

BI-Survey

JUNE 7, 2020

For example, you can provide a more precise definition of what you offer as well as additional metadata such as the countries/regions where you offer your services, screenshots of your products and success stories for consultancies. Within the questionnaire, you will find a form to add and promote your webinars and success stories.

Consulting 85

Consulting Visualization Marketing Dashboards 85

Cloudera

MAY 22, 2018

With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. track model metrics, performance, and any model artifacts the user specifies. Experiments.

Data Science 41

Data Science Snapshot Machine Learning Metadata 41

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more. between 2022 and 2029. Keen to learn more?

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more. between 2022 and 2029. Keen to learn more?

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Rita Sallam

JULY 22, 2016

By contrast, traditional BI platforms are designed to support modular development of IT-produced analytic content, specialized tools and skills, and significant upfront data modeling, coupled with a predefined metadata layer, is required to access their analytic capabilities. You can see it On Demand here. Moving to Modern.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

BI-Survey

JUNE 7, 2020

For example, you can provide a more precise definition of what you offer as well as additional metadata such as the countries/regions where you offer your services, screenshots of your products and success stories for consultancies. Within the questionnaire, you will find a form to add and promote your webinars and success stories.

Consulting 40

Consulting Visualization Marketing Dashboards 40

Alation

FEBRUARY 13, 2020

In the study, 75% of the 770 survey respondents indicated having difficulty in locating and accessing analytic content including data, models, and metadata. A key finding of the survey is that the ability to find data contributes greatly to the success of BI initiatives. Subscribe to Alation's Blog.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

erwin

MAY 27, 2020

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. What, then, should users look for in a data modeling product to support their governance/intelligence requirements in the data-driven enterprise? Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98

erwin

MARCH 4, 2021

Recently, erwin held the first in a six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Mr. Pörschmann asked webinar attendees to stop trying to explain what data governance is to executives and clients. Webinar: The Value of Data Governance & How to Quantify It.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Ontotext

JANUARY 20, 2022

This next installment in our series of posts dedicated to Ontotext webinars has been long overdue. All of our webinars are available on demand, so if we pique your interest with any of these posts, you can request a free recording. Read on and watch the webinars to get to the details! GraphQL Federation and Knowledge Graphs.

Enterprise 52

Enterprise Unstructured Data Modeling Visualization 52

Andrew White

JANUARY 9, 2022

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. There were 80 or so questions or comments posted and I was not able to respond to all of them live in the webinar so here are the verbatim questions and an individual response to each on. I hope they are helpful. It’s “in” again.

Analytics 64

Analytics Measurement Modeling Data-driven 64

erwin

FEBRUARY 4, 2021

This is an aspect of data lineage, created from technical metadata, ensuring nothing “breaks” along the change train. Register now for the first of a new, six-part webinar series on the practice of data governance and how to proactively deal with the complexities. “ The What & Why of Data Governance ” webinar on Tuesday, Feb.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

Octopai

AUGUST 19, 2020

Businesses across the globe have been forced to adapt their business models, technologies, and strategies to address the ongoing challenges of the COVID-19 pandemic. This is in stark contrast to the vast number of organizations that previously utilized on-premise discovery solutions and metadata management tools.

Metadata 98

Metadata Digital Transformation Management Business Intelligence 98

Cloudera

MAY 19, 2021

RAPIDS brings the power of GPU compute to standard Data Science operations, be it exploratory data analysis, feature engineering or model building. The focus of this tutorial will be on the mechanics of leveraging the RAPIDS library and not on building the best performing model for the leaderboard. Simple Exploration and Model.

Machine Learning 136

Machine Learning Data Science Data Lake Modeling 136

DataKitchen

OCTOBER 11, 2021

Based on business rules, additional data quality tests check the dimensional model after the ETL job completes. 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. About the Author. Priyanjna Sharma.

Testing 157

Testing Metadata Dashboards Statistics 157

Ontotext

JULY 29, 2021

One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases. There are more than 80 million pages with semantic, machine interpretable metadata , according to the Schema.org standard. Take this restaurant, for example.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

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 Metrics Data-driven 52

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. Over 2000 customers and partners joined us in this live webinar featuring a first-look at our upcoming cloud-native CDP services. Cloudera received extraordinary interest in CDP from participants, exemplified by the more than 300 questions posed throughout the webinar.

Enterprise 86

Enterprise Machine Learning Recreation/Entertainment IoT 86

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Domino Data Lab

JUNE 26, 2019

Data science leaders want to know, at any given moment, not just how many data science projects are in flight but what the latest updates and roadblocks are when it comes to model development and what projects need their immediate attention. . They need help tracking models in production. They need help tracking projects. Domino 3.5

Data Science 65

Data Science Dashboards Metadata Snapshot 65

erwin

APRIL 4, 2019

For example: Data cataloging – Organization’s implementing a data governance framework will benefit from automated metadata harvesting, data mapping, code generation and data lineage with reference data management, lifecycle management and data quality. FREE WEBINAR]. Data Governance: Implementation and Evolution.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

Cloudera

JUNE 4, 2018

Unstructured content lacks a predefined data model; it must first undergo text extraction, classification, and enrichment to provide intelligence. Aspire connectors can acquire binaries, metadata, and access control lists related to content within the enterprise data systems. How can they tackle this challenge? compliance reporting.

Unstructured Data 45

Unstructured Data Metadata Big Data Enterprise 45

Rocket-Powered Data Science

SEPTEMBER 20, 2021

They realized that the search results would probably not provide an answer to my question, but the results would simply list websites that included my words on the page or in the metadata tags: “Texas”, “Cows”, “How”, etc. The semantic layer bridges the gaps between the data cloud, the decision-makers, and the data science modelers.

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? Amidst the evolving technological landscape, one constant remains despite the ongoing attacks from nay-sayers: the importance of data modeling as a foundational step in the delivery of data to these forward-thinking organizations. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Ontotext

FEBRUARY 21, 2024

RAG and Ontotext offerings: a perfect synergy RAG is an approach for enhancing an existing large language model (LLM) with external information provided as part of the input prompt, or grounding context. So we have built a dataset using schema.org to model and structure this content into a knowledge graph.

Knowledge Discovery 64

Knowledge Discovery Technology Metadata Data-driven 64

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. The webinar was very popular and I was not able to respond to all the questions during the live recording. You can of course listen and watch the webinar from this link. Hopefully this helps, and I hope you enjoy/enjoyed the webinar. It really does. Fusion teams.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

MAY 27, 2021

In fact, such traditional governance models enact rigid policies that often alienate, or even scare, data workers. And yet implementing the correct governance model can make all the difference in supporting enterprise growth. What determines whether the passive/traditional model versus active governance model is best?

Data Governance 98

Data Governance Data Quality Enterprise Risk 98

erwin

AUGUST 1, 2023

Intro erwin ® Data Modeler 12.5 Because of the ability to provide standardization and foundational stability through all these processes, data modeling is a crucial step to success, and erwin ® Data Modeler by Quest ® is celebrating its 30 th birthday by releasing its newest, most collaborative version to date. bring to you?

Modeling 52

Modeling Metadata Data Quality Data Governance 52

Alation

FEBRUARY 17, 2023

What frameworks and operating models have you seen work well? This is because you will know what data you can trust, and you will have processes to create and upkeep data, as well as curated metadata to exploit data’s full capabilities. Due to this, glossaries and policies can be very different. Here’s an example.

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Sisense

MAY 18, 2020

YL: We’re interested in metadata. If we wanted to query a database holding all this data instead of a graph, we would have to perform aggregation, but here we don’t because the way we build the data model, the aggregation is on the inside. You can click here to view the entire webinar on demand.

Analytics 98

Analytics Digital Transformation Data-driven Sales 98