Expert insights. Personalized for you.
erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. The report, by the world’s leading research and advisory company, provides a detailed overview of the metadata management market, including evaluations of 18 vendors based on completeness of vision and ability to execute. MORE
Data Governance Starts With Metadata Management. Like all data governance, healthcare data governance requires tight management and control of metadata —the information about every database, table, column, data warehouse cube, and report element for which the organization is responsible. In addition, healthcare BI staff, compliance staff, and IT departments all need solid healthcare metadata management in order to do their jobs effectively. MORE
One of the first steps organizations take when preparing to deliver a data governance program is to determine where in the organization data governance should be placed. Or in other words, who should own data governance? MORE
Automation has revolutionized industries and business for years. In the world of data, automation plays a well-honed role in rapidly developing modern data estates. Before we proceed any further, let’s establish an understanding about the purpose of a corporate data estate. MORE
GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. The data includes articles and metadata represented as creative works and annotations between the creative works and DBPedia entities with a complex graph structure also known as reference data. MORE
As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. Metadata is everywhere and its success depends on deploying the right resources for its management. Metadata Management Automation MORE
Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. By implementing metadata-driven automation, organizations across industry can unleash the talents of their highly skilled, well paid data pros to focus on finding the goods: actionable insights that will fuel the business. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry. MORE
To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. erwin Expert Blog data governance metadata management MORE
As I write this, I can almost hear you wail “No, no, we don’t have too much metadata, we don’t have nearly enough! We have several projects in flight to expand our use of metadata.” Sorry, I’m going to have to disagree with you there. You are on a fool’s errand that will just provide […]. MORE
Data Articles Data Education Data Governance Articles Data Governance News, Articles, & Education Data Management Articles Data Management News, Articles, & Education Data Quality Articles Data Quality News, Articles, & Education Data Strategy Articles Data Strategy News, Articles, & Education Data Topics Metadata Management Articles Metadata Management News, Articles, & Education data governance leadership non-invasive data governance questions seiner stakeholders MORE
Solutions that manage datasets rely on metadata describing those sources, and typically focus on the bare minima of enterprise data governance and stewardship , which limits the available metadata (the data about data) to describing dataset physical features (size, number of records, datatype, etc.), MORE
Essential Components forthe Business/IT Lexicographer Today’s organizations often struggle with how poorly their information systems perform. MORE
Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education data governance fryman glossary Metadata MORE
When that happens, tens of thousands of people are put at risk for identity theft when their metadata is stolen. What is metadata and how is it used? What Metadata Contains. Metadata is basically a trail of data that is spread out across a network. Metadata typically contains the person’s name, address, phone number, credit card number, email address and even personal or business bank account numbers. Why a Cyber-Criminal Steals Metadata. MORE
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 are these rampant and often uncontrolled projects to collect metadata properly motivated? MORE
Insurance Metadata Management. The keys to proper insurance data managemen t are data governance and metadata management. Data Governance and Metadata Management for the Insurance Industry. Both of these two keys deal with metadata. None of this is possible without robust metadata management. In insurance, as in most other industries, metadata management is the process of discovering and cataloging the metadata for all data sources and assets. MORE
Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance. Ask any organization that excels in metadata management (or provides thorough documentation of their data, information, and records) whether or not they govern their metadata and they will surely respond affirmatively. MORE
Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces. Without an understanding of the organization’s metadata, the BI team can’t match the data from multiple sources to produce a single view of the business. This means that much of what the BI team does involves searching for and cataloging metadata. The typical BI team spends more than half its time manually tracking down metadata and errors. MORE
Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Operations Columns Data Operations News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education All in the Data data governance Metadata metadata governance seiner MORE
The Nonverbal Dilemma Nonverbal communication is composed of body gestures and vocal inflections. The words you speak are a small fraction of communication. MORE
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. MORE
These processes often rely on humans performing manual discovery and documentation tasks for: – Metadata management – ETL specifications – Report definitions – Reporting errors – Changes to calculations …and many other aspects of the data environment. That something has to do with metadata management. Here’s the bad news: “metadata management” means different things to different organizations. (In Metadata Management Automation. MORE
For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. The data includes articles and metadata represented as creative works and annotations between the creative works and DBPedia entities with a complex graph structure also known as reference data. Choose The Best RDF Database for Metadata Management. MORE
We are in the era of graphs. Graphs are hot. Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades. Over the last few years, a number of new graph databases came to market. MORE
And this time, you guessed it – we’re focusing on data automation and how it could impact metadata management and data governance. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc. Can the 80/20 Rule Be Reversed? erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. MORE
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 enriches whatever it is associated with and allows the business to gain insights that otherwise might have been missed. So how does metadata fit in? MORE
Metadata management, lately, has emerged as one of the most important practices in organizations. The underlying reason being the increased usage of big data and cloud platforms, and the tendency of information to get scattered in the absence of efficient metadata management. This has necessitated the need for organizations to adopt the best in metadata management practices in order to manage the information assets within the. MORE
We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. Metadata management is key to sustainable data governance and any other organizational effort that is data-driven. MORE
Business Intelligence Articles Business Intelligence News, Articles, & Education Data Articles Data Education Data Management Articles Data Management News, Articles, & Education Data Strategy Articles Data Strategy News, Articles, & Education Data Topics Metadata Management Articles Metadata Management News, Articles, & Education culture data education lam Metadata mistrust trainingIf your organization uses data—and even if it doesn’t—you have a data culture. MORE
While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. Metadata Is the Heart of Data Intelligence. Harvesting data – Automate the collection of metadata from various data management silos and consolidate it into a single source. MORE
Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. What is metadata management? MORE
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Metadata Management Takes Time. What Is Metadata? MORE
Business Intelligence Columns Business Intelligence News, Articles, & Education Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education business glossaries data dictionaries data governance data stewardship fryman MORE
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 are these rampant and often uncontrolled projects to collect metadata properly motivated? MORE
Like any good puzzle, metadata management comes with a lot of complex variables. A data dictionary is a tool that organizes and describes different variables indicated by metadata associated with a dataset. 1 Reason: There’s too much metadata to keep in one person’s head. MORE
Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance. What many enterprises have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process. Metadata is essentially the ‘data about data.’ Without metadata, the organization is at risk of making decisions based on the wrong data.”. MORE
Recording requirements for success is an important first step toward demonstrating the value of a Data Governance program. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply. MORE
In this post, I’d like to further detail situations where using Tamr on metadata can: Enrich metadata for actionable analytics. Metadata Enrichment. Tamr’s approach to classifying metadata can help organize and maintain large volumes of datasets quickly. MORE
Metadata used to be a secret shared between system programmers and the data. Metadata described the data in terms of cardinality, data types such as strings vs integers, and primary or foreign key relationships. Metadata started including descriptions and source information. MORE
Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES. MORE
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. As a collective intelligent asset, a data catalog should include capabilities for collecting and continually enriching or curating the metadata associated with each data asset to make them easier to identify, evaluate and use properly. Three Types of Metadata in a Data Catalog. Business Metadata. MORE
Spelling, pronunciation, and examples of usage are included in the dictionary definition of a word, which is a good example of one of the many uses of metadata, namely to provide a definition, description, and context for data. Pictured to the left is the dictionary that has been on my desk for over 15 years, which is a good metaphor for the challenges of metadata management. In practice, I haven’t encountered a metadata dictionary that could deliver on that promise. MORE
Remember the Sears catalog? Hundreds of pages of clothes quickly flipped past to get to the toys! Who didn’t spend countless hours trying to find the perfect suggested gift for your next birthday or holiday? In an Amazon and eBay world, thinking about old-school catalogs seems so quaint. MORE
Machine learning also plays a role in automated enterprise metadata management. How Does Machine Learning Improve Metadata Management Automation? Automated metadata management tools and machine learning are deeply connected. BI Modernization Metadata Management Automation MORE
Metadata Related Topics Octopai
SEPTEMBER 14, 2020
Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. What is metadata management?
TDAN
DECEMBER 31, 2019
The Nonverbal Dilemma Nonverbal communication is composed of body gestures and vocal inflections. The words you speak are a small fraction of communication.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
erwin
OCTOBER 24, 2019
While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. And to truly understand it , you need to be able to create and sustain an enterprise-wide view of and easy access to underlying metadata. Metadata Is the Heart of Data Intelligence. Harvesting data – Automate the collection of metadata from various data management silos and consolidate it into a single source.
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 are these rampant and often uncontrolled projects to collect metadata properly motivated?
TDAN
MARCH 19, 2019
Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance. Ask any organization that excels in metadata management (or provides thorough documentation of their data, information, and records) whether or not they govern their metadata and they will surely respond affirmatively.
Tamr
JANUARY 16, 2020
Solutions that manage datasets rely on metadata describing those sources, and typically focus on the bare minima of enterprise data governance and stewardship , which limits the available metadata (the data about data) to describing dataset physical features (size, number of records, datatype, etc.),
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 are these rampant and often uncontrolled projects to collect metadata properly motivated?
|
erwin
NOVEMBER 6, 2019
And this time, you guessed it – we’re focusing on data automation and how it could impact metadata management and data governance. The post Metadata Management, Data Governance and Automation appeared first on erwin, Inc. Can the 80/20 Rule Be Reversed? erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect.
DataFloq
JULY 2, 2019
Metadata management, lately, has emerged as one of the most important practices in organizations. The underlying reason being the increased usage of big data and cloud platforms, and the tendency of information to get scattered in the absence of efficient metadata management. This has necessitated the need for organizations to adopt the best in metadata management practices in order to manage the information assets within the.
Octopai
DECEMBER 22, 2019
As 2019 comes to a close, we think it’s the perfect time to review trends in metadata management as well as look at some of Octopai’s own highlights. Metadata is everywhere and its success depends on deploying the right resources for its management. Metadata Management Automation
TDAN
SEPTEMBER 17, 2019
Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education data governance fryman glossary Metadata
erwin
FEBRUARY 13, 2020
When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Creating and sustaining an enterprise-wide view of and easy access to underlying metadata is also a tall order. Metadata Management Takes Time. What Is Metadata?
Tamr
FEBRUARY 11, 2020
In this post, I’d like to further detail situations where using Tamr on metadata can: Enrich metadata for actionable analytics. Metadata Enrichment. Tamr’s approach to classifying metadata can help organize and maintain large volumes of datasets quickly.
|
Octopai
SEPTEMBER 6, 2020
Machine learning also plays a role in automated enterprise metadata management. How Does Machine Learning Improve Metadata Management Automation? Automated metadata management tools and machine learning are deeply connected. BI Modernization Metadata Management Automation
erwin
FEBRUARY 7, 2019
Organization’s cannot hope to make the most out of a data-driven strategy, without at least some degree of metadata-driven automation. By implementing metadata-driven automation, organizations across industry can unleash the talents of their highly skilled, well paid data pros to focus on finding the goods: actionable insights that will fuel the business. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry.
TDAN
SEPTEMBER 3, 2019
As I write this, I can almost hear you wail “No, no, we don’t have too much metadata, we don’t have nearly enough! We have several projects in flight to expand our use of metadata.” Sorry, I’m going to have to disagree with you there. You are on a fool’s errand that will just provide […].
Sirius Computer Solutions
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 enriches whatever it is associated with and allows the business to gain insights that otherwise might have been missed. So how does metadata fit in?
TDAN
JUNE 18, 2019
Business Intelligence Columns Business Intelligence News, Articles, & Education Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education business glossaries data dictionaries data governance data stewardship fryman
Smart Data Collective
APRIL 10, 2019
When that happens, tens of thousands of people are put at risk for identity theft when their metadata is stolen. What is metadata and how is it used? What Metadata Contains. Metadata is basically a trail of data that is spread out across a network. Metadata typically contains the person’s name, address, phone number, credit card number, email address and even personal or business bank account numbers. Why a Cyber-Criminal Steals Metadata.
erwin
APRIL 16, 2020
We’re excited about our recognition as a March 2020 Gartner Peer Insights Customers’ Choice for Metadata Management Solutions. Metadata management is key to sustainable data governance and any other organizational effort that is data-driven.
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.
erwin
DECEMBER 19, 2019
To help you prepare for 2020, we’ve compiled some of the most popular data governance and metadata management blog posts from the erwin Experts from this year. The Best Data Governance and Metadata Management Blog Posts of 2019. erwin Expert Blog data governance metadata management
Octopai
JUNE 26, 2020
Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance. What many enterprises have not yet come to terms with when implementing their data governance strategy and supporting tools, is the criticality of metadata in the process. Metadata is essentially the ‘data about data.’ Without metadata, the organization is at risk of making decisions based on the wrong data.”.
Octopai
FEBRUARY 12, 2020
Like any good puzzle, metadata management comes with a lot of complex variables. A data dictionary is a tool that organizes and describes different variables indicated by metadata associated with a dataset. 1 Reason: There’s too much metadata to keep in one person’s head.
erwin
OCTOBER 18, 2019
erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. The report, by the world’s leading research and advisory company, provides a detailed overview of the metadata management market, including evaluations of 18 vendors based on completeness of vision and ability to execute.
Octopai
SEPTEMBER 22, 2019
Insurance Metadata Management. The keys to proper insurance data managemen t are data governance and metadata management. Data Governance and Metadata Management for the Insurance Industry. Both of these two keys deal with metadata. None of this is possible without robust metadata management. In insurance, as in most other industries, metadata management is the process of discovering and cataloging the metadata for all data sources and assets.
Ontotext
JUNE 27, 2019
GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. The data includes articles and metadata represented as creative works and annotations between the creative works and DBPedia entities with a complex graph structure also known as reference data.
Ontotext
JUNE 27, 2019
For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. The data includes articles and metadata represented as creative works and annotations between the creative works and DBPedia entities with a complex graph structure also known as reference data. Choose The Best RDF Database for Metadata Management.
Octopai
JULY 18, 2019
Data Governance Starts With Metadata Management. Like all data governance, healthcare data governance requires tight management and control of metadata —the information about every database, table, column, data warehouse cube, and report element for which the organization is responsible. In addition, healthcare BI staff, compliance staff, and IT departments all need solid healthcare metadata management in order to do their jobs effectively.
Octopai
APRIL 8, 2019
Metadata is at the heart of every report, dashboard, data warehouse, visualization, and anything else the BI team produces. Without an understanding of the organization’s metadata, the BI team can’t match the data from multiple sources to produce a single view of the business. This means that much of what the BI team does involves searching for and cataloging metadata. The typical BI team spends more than half its time manually tracking down metadata and errors.
Octopai
MAY 13, 2019
These processes often rely on humans performing manual discovery and documentation tasks for: – Metadata management – ETL specifications – Report definitions – Reporting errors – Changes to calculations …and many other aspects of the data environment. That something has to do with metadata management. Here’s the bad news: “metadata management” means different things to different organizations. (In Metadata Management Automation.
TDAN
SEPTEMBER 15, 2020
Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES.
TDAN
SEPTEMBER 15, 2020
Remember the Sears catalog? Hundreds of pages of clothes quickly flipped past to get to the toys! Who didn’t spend countless hours trying to find the perfect suggested gift for your next birthday or holiday? In an Amazon and eBay world, thinking about old-school catalogs seems so quaint.
Jim Harris
MAY 5, 2017
Spelling, pronunciation, and examples of usage are included in the dictionary definition of a word, which is a good example of one of the many uses of metadata, namely to provide a definition, description, and context for data. Pictured to the left is the dictionary that has been on my desk for over 15 years, which is a good metaphor for the challenges of metadata management. In practice, I haven’t encountered a metadata dictionary that could deliver on that promise.
TDAN
AUGUST 18, 2020
We are in the era of graphs. Graphs are hot. Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. Graphs deliver it in spades. Over the last few years, a number of new graph databases came to market.
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. As a collective intelligent asset, a data catalog should include capabilities for collecting and continually enriching or curating the metadata associated with each data asset to make them easier to identify, evaluate and use properly. Three Types of Metadata in a Data Catalog. Business Metadata.
TDAN
MAY 19, 2020
Business Intelligence Articles Business Intelligence News, Articles, & Education Data Articles Data Education Data Management Articles Data Management News, Articles, & Education Data Strategy Articles Data Strategy News, Articles, & Education Data Topics Metadata Management Articles Metadata Management News, Articles, & Education culture data education lam Metadata mistrust trainingIf your organization uses data—and even if it doesn’t—you have a data culture.
TDAN
SEPTEMBER 15, 2020
One of the first steps organizations take when preparing to deliver a data governance program is to determine where in the organization data governance should be placed. Or in other words, who should own data governance?
TDAN
JULY 14, 2020
Data Columns Data Education Data Governance Columns Data Governance News, Articles, & Education Data Management Columns Data Management News, Articles, & Education Data Operations Columns Data Operations News, Articles, & Education Data Strategy Columns Data Strategy News, Articles, & Education Data Topics Metadata Management Columns Metadata Management News, Articles, & Education All in the Data data governance Metadata metadata governance seiner
TDAN
JUNE 30, 2020
Data Articles Data Education Data Governance Articles Data Governance News, Articles, & Education Data Management Articles Data Management News, Articles, & Education Data Quality Articles Data Quality News, Articles, & Education Data Strategy Articles Data Strategy News, Articles, & Education Data Topics Metadata Management Articles Metadata Management News, Articles, & Education data governance leadership non-invasive data governance questions seiner stakeholders
TDAN
JANUARY 14, 2020
Recording requirements for success is an important first step toward demonstrating the value of a Data Governance program. Practitioners know that Data Governance requires planning, resources, money and time and that several of these objects are in short supply.
TDAN
SEPTEMBER 15, 2020
Automation has revolutionized industries and business for years. In the world of data, automation plays a well-honed role in rapidly developing modern data estates. Before we proceed any further, let’s establish an understanding about the purpose of a corporate data estate.
TDAN
FEBRUARY 18, 2020
Essential Components forthe Business/IT Lexicographer Today’s organizations often struggle with how poorly their information systems perform.
50 
Let's personalize your content