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.”. 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. MORE
The lack of a central metadata repository is a far too common thorn in an organization’s side. A central metadata repository ensures an organization can acknowledge and get behind a single source of truth. 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. 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. 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.” 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
In my last article I suggested that many organizations have approached Data Governance incorrectly using only centralize data governance teams and that approach is not working for many. 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
Wherever we go, we are overwhelmed by MORE: more sales, more discounts, more fun, more excitement, more features – the list goes on and on! What humans seem to be far less attuned to is reducing what we don’t need. 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. MORE
Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance. 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. 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. 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
Organizations need a real-time, accurate picture of the metadata landscape to: Discover data – Identify and interrogate metadata from various data management silos. Harvest data – Automate metadata collection from various data management silos and consolidate it into a single source. 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? 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. So how does metadata fit in? The easiest way to validate compliance is by using metadata. MORE
It seems that Self-Service BI is finally taking off. After decades of hope, hype, over-promising, and disappointment, technology that businesspeople can use is finally becoming available, albeit with some level of data literacy. But before we cheer for this success a little caution is in order. 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
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. Metadata Is the Heart of Data Intelligence. Addressing the Complexities of Metadata Management. MORE
I said I thought it affected all of them pretty profoundly, but perhaps the Metadata wedge the most. Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected. MORE
The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections. MORE
Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts. 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
Is your organization struggling to succeed with your Data Governance program? Is adoption by the business an issue for you? Data Governance occurs best when done in conjunction with the business processes and not as a “bolt on”/additional activity. 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
Roles and responsibilities are the backbone of a successful information or data governance program. MORE
The stories you hear on the news often mention how this person or that person was battling their demons. Alcoholism, drug addiction, compulsive behaviors like gambling … Demons take many forms. Demons almost never result in good things happening. MORE
Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration. 2019 Dec Tutorials, Overviews Compliance Consistency Data Catalog Data Governance Datasets Metadata Reddit MORE
Deep learning, as defined by MathWorks, is a system of artificial intelligence that is built around learning by example. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities. 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
Organizations faced with the delivery of formal Data Governance or Information Governance programs recognize that there are several challenges they will face when getting started and as the program is operationalized. The challenges are not the same for all organizations. MORE
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. Governing 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. MORE
The typical notion is that enterprise architects and data (and metadata) architects are in opposite corners. With governance, which sets its fundamental components firmly on data, metadata and infrastructure. It’s time to consider data-driven enterprise architecture. MORE
Metadata Related Topics 
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. Metadata Is the Heart of Data Intelligence. Addressing the Complexities of 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.
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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?
TDAN
MARCH 19, 2019
Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance.
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
SEPTEMBER 17, 2019
In my last article I suggested that many organizations have approached Data Governance incorrectly using only centralize data governance teams and that approach is not working for many.
|
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
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. Metadata-Driven Automation in the BFSI Industry. Metadata-Driven Automation in the Pharmaceutical Industry.
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.
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.”
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. So how does metadata fit in? The easiest way to validate compliance is by using 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.
|
|
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?
TDAN
JUNE 18, 2019
Is your organization struggling to succeed with your Data Governance program? Is adoption by the business an issue for you? Data Governance occurs best when done in conjunction with the business processes and not as a “bolt on”/additional activity.
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
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
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.”.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.
KDnuggets
DECEMBER 23, 2019
Learn why data catalogs could be just the thing you need to meet the challenges of data and metadata management and collaboration. 2019 Dec Tutorials, Overviews Compliance Consistency Data Catalog Data Governance Datasets Metadata Reddit
TDAN
SEPTEMBER 3, 2019
Organizations faced with the delivery of formal Data Governance or Information Governance programs recognize that there are several challenges they will face when getting started and as the program is operationalized. The challenges are not the same for all organizations.
TDAN
FEBRUARY 18, 2020
Essential Components forthe Business/IT Lexicographer Today’s organizations often struggle with how poorly their information systems perform.
TDAN
DECEMBER 3, 2019
I said I thought it affected all of them pretty profoundly, but perhaps the Metadata wedge the most. Recently, I was giving a presentation and someone asked me which segment of “the DAMA wheel” did I think semantics most affected.
erwin
JULY 17, 2019
Organizations need a real-time, accurate picture of the metadata landscape to: Discover data – Identify and interrogate metadata from various data management silos. Harvest data – Automate metadata collection from various data management silos and consolidate it into a single source.
erwin
MAY 31, 2019
The typical notion is that enterprise architects and data (and metadata) architects are in opposite corners. With governance, which sets its fundamental components firmly on data, metadata and infrastructure. It’s time to consider data-driven enterprise architecture.
TDAN
AUGUST 6, 2019
Deep learning, as defined by MathWorks, is a system of artificial intelligence that is built around learning by example. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities.
TDAN
DECEMBER 3, 2019
Wherever we go, we are overwhelmed by MORE: more sales, more discounts, more fun, more excitement, more features – the list goes on and on! What humans seem to be far less attuned to is reducing what we don’t need.
erwin
MARCH 21, 2019
The lack of a central metadata repository is a far too common thorn in an organization’s side. A central metadata repository ensures an organization can acknowledge and get behind a single source of truth.
TDAN
JULY 2, 2019
The third and final part of the Non-Invasive Data Governance Framework details the breakdown of components by level, providing considerations for what must be included at the intersections.
TDAN
APRIL 30, 2019
Roles and responsibilities are the backbone of a successful information or data governance program.
TDAN
DECEMBER 31, 2019
It seems that Self-Service BI is finally taking off. After decades of hope, hype, over-promising, and disappointment, technology that businesspeople can use is finally becoming available, albeit with some level of data literacy. But before we cheer for this success a little caution is in order.
erwin
JANUARY 24, 2019
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. Governing metadata.
TDAN
JANUARY 14, 2020
The stories you hear on the news often mention how this person or that person was battling their demons. Alcoholism, drug addiction, compulsive behaviors like gambling … Demons take many forms. Demons almost never result in good things happening.
TDAN
APRIL 2, 2019
Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts.
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