Ontotext

AUGUST 22, 2023

Beyond that, and without a way to visualize, connect, and utilize the data, it’s still just a bunch of random information. Without metadata management and other data-related operations with semantic technologies, organizations often struggle to connect data sets and achieve a unified view of their enterprise data.

Metadata 52

Metadata Knowledge Discovery Big Data Enterprise 52

erwin

DECEMBER 3, 2020

Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. This metadata is ingested into the data catalog, definitions are added within a business glossary, and the searchable repository enables users to understand how data is used and stored.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

erwin

MARCH 30, 2020

These numerous data types and data sources most definitely weren’t designed to work together. Unraveling Data Complexities with Metadata Management. Metadata management will be critical to the process for cataloging data via automated scans. Data profiling for data assessment, metadata discovery and data validation.

Metadata 122

Metadata IT Data Governance Data Quality 122

datapine

SEPTEMBER 29, 2022

What is the definition of data quality? As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. This way, you make sure there is a common understanding of data definitions that are being used across the organization.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Octopai

MAY 31, 2022

On the occasions when a report or dashboard error does show up, it doesn’t take long to do some BI root cause analysis and track down the source of the error using a data lineage visualization. Bonus tool: active metadata management. An active metadata management tool adds a maître d’ to self-serve analytics.

Management 52

Management Metadata Business Intelligence ROI 52

erwin

FEBRUARY 28, 2024

Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. There’s a multitude of capabilities that come to play in terms of evaluating metadata management tools, which would be more than we could cover here, but I will focus on two major areas: the business glossary and data lineage.

Metadata 52

Metadata Data Governance Data Quality Technology 52

Cloudera

SEPTEMBER 29, 2022

The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. And during this time they will by definition have a hybrid architecture. What are the different definitions of hybrid architectures? There are many definitions of the hybrid data architecture.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

Smart Data Collective

APRIL 14, 2021

Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting. Business intelligence tools have the ability to visualize and automate queries to save time while reducing errors. It also allows you to create your data and creating consistent dataset definitions using LookML.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

Octopai

FEBRUARY 8, 2020

While some businesses suffer from “data translation” issues, others are lacking in discovery methods and still do metadata discovery manually. The solution is a comprehensive automated metadata platform. Unlike a Mars mission, it’s not rocket science, and Octopai’s automated metadata management tools can do the heavy lifting. ????.

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

Cloudera

MARCH 14, 2023

The data flow life cycle with Cloudera DataFlow for the Public Cloud (CDF-PC) Data flows in CDF-PC follow a bespoke life cycle that starts with either creating a new draft from scratch or by opening an existing flow definition from the Catalog. Any flow definition in the Catalog can be executed as a deployment or a function.

Testing 81

Testing Publishing Metadata Interactive 81

erwin

AUGUST 6, 2020

Data Literacy Definition. It also provides a business glossary for the collaborative definition of enterprise data in business terms. Data Context & Enrichment: Put data in business context and enable stakeholders to share best practices and build communities by tagging/commenting on data assets, enriching the metadata.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

erwin

AUGUST 7, 2019

With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects. A data catalog benefits organizations in a myriad of ways.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

Alation

DECEMBER 21, 2022

A data catalog is a metadata repository of information sources across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Documenting rule definitions and corrective actions guide domain owners and stewards in addressing quality issues. Data Catalog and Master Data Management.

Management 52

Management Data Quality Metadata Testing 52

Smart Data Collective

JULY 27, 2021

Metazoa CEO Jennifer Mercer doesn’t think that either of those definitions is very helpful, especially when it comes to Salesforce. Visualize the problem. Once you have accounted for all the CRM’s data, and metadata type, administrators will then need to take a comprehensive snapshot of the account,” added Mercer. Unused assets.

Big Data 131

Big Data Snapshot IT Dashboards 131

Alation

FEBRUARY 20, 2020

Is this calculation of revenue an accurate definition for our new decision? Why does this report use a non-standard definition of region? These recommendations organize the data about your data — what the industry for many years has called metadata. The challenge is one of transparency. Who built those reports?

Metadata 52

Metadata Analytics Dashboards Sales 52

Alation

SEPTEMBER 21, 2021

It is people, process, technology, and data — more importantly, metadata. Metadata provides technical and behavioral intelligence about data that can be used to decide where to start and how to plot a course to the destination, including who needs to be involved and who can offer assistance if roadblocks are encountered.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

BI-Survey

JUNE 7, 2020

The ecosystem around Microsoft Power BI is growing fast – consultancies and software vendors are adopting the platform to offer added value in visuals, apps, connectors and data management tools. The main sections are Visuals, Dashboards, Apps, Data Management and Connectors. Visuals are extensions to the Power BI visual library.

Consulting 85

Consulting Visualization Marketing Dashboards 85

Alation

JUNE 22, 2021

While this is an excellent working definition, we believe it’s helpful to think of data literacy by analogy to Maslow’s Hierarchy , where needs (or skills) are layered atop each other. And in fact, being able to pull a dataset or visualize it can do more harm than good if you interpret it incorrectly. What is Data Literacy?

Data Governance 64

Data Governance Data-driven Metadata Visualization 64

Octopai

DECEMBER 11, 2022

This is where data lineage and metadata management becomes an integral part of BCBS 239, TRIM or any other regulations dealing with financial risk. Automated data lineage enables you to visually trace the entire path of any data point from origin to destination. – and just look at the data path visualization to see your answer.

Insurance 52

Insurance Risk Metadata Reporting 52

Ontotext

SEPTEMBER 7, 2023

And the other thing is another way of displaying it or visualizing it, which is a little more node based or hierarchically based. Some graph databases have visualization elements as a part of that and in others, you put visualization tools in, so it depends. Doug : Definitely. Would you agree with what I just said?

Technology 59

Technology Visualization Digital Transformation Management 59

AWS Big Data

JUNE 7, 2023

This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. To share the datasets, they needed a way to share access to the data and access to catalog metadata in the form of tables and views. The target accounts read data from the source account S3 buckets.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

AWS Big Data

MARCH 13, 2024

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. Choose Run.

Analytics 97

Analytics IoT Metadata Internet of Things 97

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. Throughout each episode, hosts Shane and Nigel discuss how to incorporate agile techniques when teams deliver analytics, data, and visualizations. Agile Data.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

BI-Survey

JUNE 7, 2020

The ecosystem around Microsoft Power BI is growing fast – consultancies and software vendors are adopting the platform to offer added value in visuals, apps, connectors and data management tools. The main sections are Visuals, Dashboards, Apps, Data Management and Connectors. Visuals are extensions to the Power BI visual library.

Consulting 40

Consulting Visualization Marketing Dashboards 40

Sisense

JULY 24, 2019

NLQ serves those users who are in a rush, or who lack the skills or permissions to model their data using visualization tools or code editors. In this mode, the user avoids putting too much effort into the definition of a specific search, and instead, relies on a random exploration path with the assisted exploration of NLQ.

Analytics 89

Analytics Experimentation Metadata Big Data 89

erwin

MAY 2, 2022

One must also capture the vast quantity of metadata around the OLTP business requirements that must be reflected. It’s not very hard at all once you know the definition and have some rather simple visual examples. One-click push of data modeling data definition language (DDL) and requests to GitHub/Git repository via Mart.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

Domino Data Lab

APRIL 3, 2019

That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Definition and Descriptions. We’ll start with standard definitions – the currently accepted wisdom in the industry. That definition plus the one-liner provide good starting points.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? By combining the power of two solutions — data catalogs and data visualization tools — you can get a deeper understanding of your information landscape and create meaningful insights faster.

Visualization 52

Visualization Metadata Data Governance KPI 52

Cloudera

SEPTEMBER 1, 2020

The application provides support for the Solr standard query language and visualization of faceted search functionality. Coordinates distribution of data and metadata, also known as shards. The following page is displayed: From the Cluster Definitions dropdown, select ‘Data Discovery and Exploration for AWS – PREVIEW’.

Snapshot 67

Snapshot Unstructured Data Dashboards Interactive 67

AWS Big Data

APRIL 25, 2024

There are multiple ways to define a table definition: running DDL, an AWS Glue crawler, the AWS Glue Data Catalog API, and so on. Choose Create job and choose Visual ETL. There are two folders: data and metadata. First, let’s create an original table using the NOAA data. In this step, you run DDL via the Athena console.

Optimization 67

Optimization Data Lake Cost-Benefit Reporting 67

AWS Big Data

NOVEMBER 22, 2023

AWS Glue Crawler is a component of AWS Glue, which allows you to create table metadata from data content automatically without requiring manual definition of the metadata. One typical use case is to register Hudi tables, which does not have catalog table definition. Wait for the crawler to complete.

Data Lake 95

Data Lake Snapshot Metadata Optimization 95

Alation

MAY 4, 2023

Are you an aspiring data scientist , or just want to understand the benefits of integrating data catalogs with visualization tools? By combining the power of two solutions — data catalogs and data visualization tools — you can get a deeper understanding of your information landscape and create meaningful insights faster.

Visualization 40

Visualization Metadata Data Governance KPI 40

Octopai

FEBRUARY 21, 2022

If you can leverage automated data lineage to trace the path of every data asset end-to-end through your systems, from source, to ETL, in the database, through to analytics and reporting, you’ll have an invaluable, visual map in a short time. With the full picture at your fingertips, you can wisely pack for a successful move.

Recreation/Entertainment 78

Recreation/Entertainment Cost-Benefit ROI Reporting 78

BI-Survey

OCTOBER 27, 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. Nevertheless, the questionnaire allows you to add important information.

Consulting 52

Consulting Marketing Software Metadata 52

Ontotext

MARCH 8, 2023

Rich metadata and semantic modeling continue to drive the matching of 50K training materials to specific curricula, leading new, data-driven, audience-based marketing efforts that demonstrate how the recommender service is achieving increased engagement and performance from over 2.3 million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

DECEMBER 18, 2023

AWS Step Functions is a fully managed visual workflow service that enables you to build complex data processing pipelines involving a diverse set of extract, transform, and load (ETL) technologies such as AWS Glue , Amazon EMR , and Amazon Redshift. Amazon S3 hosts the metadata of all the tables as a.csv file.

Metadata 121

Metadata Visualization Data Lake Data-driven 121

erwin

MAY 27, 2020

Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management. Provide metadata and schema visualization regardless of where data is stored. Nine Steps to Data Modeling.

Modeling 98

Modeling Metadata Data Governance Visualization 98