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.

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.

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.

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.

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 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.”

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.

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.

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.

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.

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.

The Wonderful World of Distributed Systems and the Art of Metadata Management

Nutanix

Nutanix introduced the first Hyperconverged platform to the market in 2011. While other Hyperconverged solutions have since come out, what differentiates Nutanix from the other solutions is the focus on implementing a highly scalable, reliable and performant distributed systems architecture

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.

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.

The Wonderful World of Distributed Systems and the Art of Metadata Management

Nutanix

Nutanix introduced the first Hyperconverged platform to the market in 2011. While other Hyperconverged solutions have since come out, what differentiates Nutanix from the other solutions is the focus on implementing a highly scalable, reliable and performant distributed systems architecture

The Wonderful World of Distributed Systems and the Art of Metadata Management

Nutanix

There’s no question that enterprise application usability has for the most part been left behind

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.

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.

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.

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.

All in the Data: What Makes a Data Steward?

TDAN

I recently read a blog that mocked my statement that “everybody is a data steward” and explicitly negated the fact that “everyone who uses data should be a data steward.” I have to tell that blogger that they are wrong.

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.

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.

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.

Data Management 20/20: Connecting the Data

TDAN

Data collection is getting more dispersed and voluminous every day. Corporate entities are constantly merging or splitting, and new lines of business are created in order to meet changing business challenges.

Governance in Healthcare: Ownership and Consistency

Perficient Data & Analytics

End-users are gaining more control of these assets, including the ability to integrate and manipulate them for their own purposes, and being able to select assets based on a relevance criteria not necessarily codified in classic metadata or semantic models.

Data is Risky Business: Group Think and the Man Behind the Curtain

TDAN

There have been a couple of different things converged in my media feeds that highlight a key issue that all data management professionals and leaders in information management need to be conscious of – Group Think.

Data Management 20/20: Business Glossary Best Practices

TDAN

It’s all about communication. Everyone talks about collecting, storing, and analyzing data but how do you make use of this data if you cannot understand it? The primary problem is the meaning of data within a certain context where it is used.

All in the Data: CDOs Should Be Asking “How” … and Not “Why”

TDAN

The secret lies with Data Governance. The Chief Data Officer (or whoever the Data Czar is at your organization) needs to get past, and I mean way past, the “Why is Data Governance important?” or “Why do we need Data Governance?” questions if they are ever going to be successful czar-ing the data. Rather, the […].

Data is Risky Business: Call for Compulsory Ethics

TDAN

In our book, Ethical Data and Information Management, Katherine O’Keefe and I look at the relationship between the Ethic of Society, which today finds expression this morning, in a report from a UK Parliamentary Committee setting out their findings against Facebook and Cambridge Analytica.

Using Strategic Data Governance to Manage GDPR/CCPA Complexity

erwin

Activating their metadata to drive agile data preparation and governance through integrated data glossaries and dictionaries that associate policies to enable stakeholder data literacy.

All in the Data: Calm Management’s Fears About Data Governance

TDAN

Wouldn’t it be great if you could simply put structure around how your organization governs your data without throwing a lot of money and resources at the problem? The truth is you can. It’s all in the data.

Practical Points from the DGPO: What Data Governance Is and Is Not

TDAN

If you are just starting out and feel overwhelmed by all the various definitions, explanations, and interpretations of data governance, don’t be alarmed. Even well-seasoned data governance veterans can struggle with the definition and explanation of what they do day to day.

To Own or Not to Own Data

TDAN

To own data or not to own data, that is the question. This question comes up often when I am speaking with clients or groups of people during my Data Governance webinars and conference presentations.

Common Data Modeling Mistakes and Their Impact

TDAN

Although data modeling has been around for over 30 years, it ranks among the top areas from which database application problems arise. Moreover, the severity of the problems ranges from totally incorrect functionality to freakishly miserable performance.

Data Mapping Tools: What Are the Key Differentiators

erwin

BFSI, PHARMA, INSURANCE AND NON-PROFIT) CASE STUDIES FOR AUTOMATED METADATA-DRIVEN AUTOMATION. As stated above, a data governance platform that draws from a single metadata source is even more advantageous here.