Very Meta … Unlocking Data’s Potential with Metadata Management Solutions

erwin

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.

Metadata is Like Body Language

TDAN

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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How Metadata Makes Data Meaningful

erwin

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?

Metadata Management, Data Governance and Automation

erwin

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?

Your Metadata Will Not Govern Itself

TDAN

Metadata Governance is easiest to understand when you separate the term into its two parts – Metadata and Data Governance.

How Metadata Makes Data Meaningful

erwin

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?

Business Glossary and Metadata: Small Teams Data Governance

TDAN

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.

2019 Highlights in Metadata Management

Octopai

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

Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

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.

The Top 10 Metadata Management Platforms for Efficient Data Administration

DataFloq

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.

The Data-Centric Revolution: Toss Out Metadata That Does Not Bring Joy

TDAN

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.”

Metadata Archiving with Snowflake

Sirius Computer Solutions

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.

Using Tamr’s metadata enrichment, discovery, and standardization to unlock new possibilities in data management

Tamr

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.

Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

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?

Business Glossaries and Metadata: Data Governance May Require a Village

TDAN

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.

Top 7 Data Governance and Metadata Management Blog Posts of 2019

erwin

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

Business Glossary and Metadata: When a Data Catalog Product is Not a Data Catalog

TDAN

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.

2019 Gartner Magic Quadrant for Metadata Management Solutions

erwin

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.”.

What Cyber Criminals Can Do With Your Metadata

Smart Data Collective

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.

Benefits of Metadata Management Automation in the Insurance Industry

Octopai

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.

GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management

Ontotext

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.

Benefits of Data Dictionary Tools for Enterprise Metadata Management

Octopai

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.

Why Metadata Management Automation is Crucial to the Healthcare Industry

Octopai

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.

GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management

Ontotext

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.

How Automated Metadata Discovery Can Save You Money

Octopai

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.

Metadata Management Means Different Things to Different Organizations

Octopai

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.

What an Old Dictionary teaches us about Metadata

Jim Harris

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.

Requirements for Data Governance

TDAN

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.

What is Data Catalog and Why You Should Care?

KDnuggets

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

Common Data Governance Challenges

TDAN

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.

Data Management 20/20: The Trinity of the Business Glossary

TDAN

Essential Components forthe Business/IT Lexicographer Today’s organizations often struggle with how poorly their information systems perform.

The Data-Centric Revolution: Semantics and the DAMA Wheel

TDAN

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.

Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

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.

Data-Driven Enterprise Architecture: Why Enterprise Architects Need to Look at Data First

erwin

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.

Deep Learning Can Make a Difference

TDAN

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.

Make An Impact: Create More Value with Data Curation

TDAN

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.

Sales 69

What’s Business Process Modeling Got to Do with It? – Choosing A BPM Tool

erwin

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.

The Non-Invasive Data Governance Framework – The Details

TDAN

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.

Data Governance Roles and Responsibilities

TDAN

Roles and responsibilities are the backbone of a successful information or data governance program.

Practical Points from the DGPO: Dawn of Self-Service BI Governance

TDAN

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.

Five Benefits of an Automation Framework for Data Governance

erwin

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.

Defeat Your Data Demons

TDAN

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.

Data Dictionary vs. Business Glossary

TDAN

Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts.