Domino Data Lab

APRIL 3, 2019

This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. In other words, #adulting. Cynical Perspectives.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

TDAN

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Publishing 78

Publishing Data Quality Data Architecture IT 78

TDAN

APRIL 18, 2023

Something has been bothering me about data products. It’s the point at which the consumer of a data product immediately switches to also be a producer. We talk a lot about the binary roles of either consumer or producer when in reality the vast majority of people are both at the same time. I know […]

IT 52

IT Metadata Data Governance Data Strategy 52

TDAN

APRIL 19, 2022

Introduction We are living in the age of a data revolution, and more corporations are realizing that to lead—or in some cases, to survive—they need to harness their data wealth effectively.

Data Warehouse 72

Data Warehouse Enterprise IT Metadata 72

TDAN

MAY 19, 2020

If your organization uses data—and even if it doesn’t—you have a data culture. Think about the ways that you and your colleagues interact with and discuss data. Is it spoken about as a driver of business and competitive edge or just the exhaust of your existing […]. Are people afraid of it? Do they trust it?

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Interactive IT Metadata Data Strategy 105

TDAN

DECEMBER 15, 2020

Weinberg’s Second Law: If builders built buildings the way programmers wrote programs, then the first woodpecker that came along would destroy civilization.[1] 1] Introduction Opportunity While most people don’t think about it very often, common language is essential to day-in, day-out commerce.

Data Quality 83

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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.

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Data Governance Metadata Data Strategy Business Intelligence 89

TDAN

MARCH 31, 2020

yield differing answers, making it more difficult to run the business. Executive Summary It seems obvious enough that companies, government agencies and non-profits would benefit from a common language. Without it, coordinating work is more difficult, computers “don’t talk,” and basic questions such as “how many customers do we have?”

IT 84

IT Data Architecture Metadata Data Strategy 84

TDAN

MARCH 3, 2020

This is surely the case with the “new” products that call themselves data catalogs. But before talking about the rise of the data catalog, I will take […]. If you have been around the IT industry for as long as I have, you have seen technologies and ideas come and go—and sometimes even come back again.

Technology 78

Technology Data Quality IT Metadata 78

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. Opening a paper volume to manually flip […].

Data Architecture 69

Data Architecture Metadata Data Strategy Data Governance 69

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.

Deep Learning 81

Deep Learning Technology Data Architecture Metadata 81

TDAN

APRIL 16, 2019

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.

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Data Governance Data Quality Metadata Data Strategy 84

TDAN

APRIL 30, 2019

Roles and responsibilities are the backbone of a successful information or data governance program. To operate an efficient and effective program and hold people formally accountable for doing the “right” thing at the “right” time, it requires the definition and deployment of roles that are appropriate for the culture of the organization.

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Data Governance Data Quality IT Metadata 79

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. The word “demon” does not describe something that inspires you to do something good – and […].

Data Quality 64

Data Quality Data Governance Metadata Data Strategy 64

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. The squares are completed with nouns and verbs that provide direction for meaningful discussions about how the program will be set up and operate.

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Data Governance Data Quality Data Architecture Metadata 74

TDAN

MARCH 17, 2020

Business has a fundamental problem with data quality. In some places it’s merely painful, in others it’s nearly catastrophic. Why is the problem so pervasive? Why does it never seem to get fixed? I believe we’ve been thinking about the problem wrong. It’s time for a fresh look.

Data Quality 59

Data Quality Data Architecture IT Metadata 59

TDAN

MARCH 19, 2019

Various databases, plus one or more data warehouses, have been the state-of-the art data management infrastructure in companies for years. The emergence of various new concepts, technologies, and applications such as Hadoop, Tableau, R, Power BI, or Data Lakes indicate that changes are under way.

Management 84

Management Data Lake Data Warehouse Analytics 84

TDAN

MARCH 19, 2019

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. It is a pretty grim reading.

Risk 61

Risk Reporting Management IT 61

TDAN

MAY 14, 2019

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. To the disgust of some (there are some that choke every time the term “data owner” is used) using the […].

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Data Governance Data Quality Metadata Data Strategy 51

TDAN

APRIL 2, 2019

Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts. Some organizations know exactly what they need, while others can be overwhelmed or confused by all the different solutions out there that claim to support data governance.

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Data Governance Enterprise Data Quality Metadata 45

TDAN

JUNE 18, 2019

Part one of this series addressed the structure of the Non-Invasive Data Governance Framework. In part two, I detail each of the labels on the rows and columns of the framework. I refer to the row labels as the Levels or perspectives of the organization and the column labels as the Core Components of a […].

Data Governance 45

Data Governance Metadata Data Strategy Business Intelligence 45

TDAN

JULY 16, 2019

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? It’s all in the data. The truth is you can.

Data Governance 45

Data Governance Management IT Data Quality 45

TDAN

NOVEMBER 5, 2019

This series of columns will focus on many things including the nature of a graph database, how we evolved to a graph database, how a graph database is different from a relational database, two classes of graph databases – property and semantic, how property and semantic graph databases differ, use cases, challenges, how to map […].

Metadata 40

Metadata Data Strategy Data Architecture Business Intelligence 40

TDAN

OCTOBER 15, 2019

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.” Everyone who uses data IS a data steward if they are held formally accountable for […]. I have to tell that blogger that they are wrong.

Data Quality 40

Data Quality Data Governance Metadata Data Strategy 40

TDAN

JUNE 4, 2019

The following paper is the first of a three-part series that describes the Non-Invasive Data Governance Framework. Seiner of KIK Consulting & Educational Services (KIKconsulting.com) and The Data Administration Newsletter (TDAN.com). The framework was developed and is implemented by Robert S.

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TDAN

MAY 14, 2019

Welcome to DAMA Corner, a source of information for data management professionals here in TDAN.com, an industry-leading publication for people interested in learning about data administration, data management disciplines, and best practices.

Management 40

Management Data Quality Data Architecture Metadata 40

Alation

MARCH 21, 2023

When it embarked on a digital transformation and modernization initiative in 2018, the company migrated all its data to AWS S3 Data Lake and Snowflake Data Cloud to provide accessibility to data to all users. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

APRIL 12, 2022

Today, the modern CDO drives the data strategy for the entire organization. The individual initiatives that make up a data strategy may, at times, seem at odds with one another, but tools, such as the enterprise data catalog , can help CDOs in striking the right balance between facilitating data access and data governance.

Data Quality 52

Data Quality Data Governance Metrics Data Strategy 52

IBM Big Data Hub

AUGUST 4, 2023

When workers get their hands on the right data, it not only gives them what they need to solve problems, but also prompts them to ask, “What else can I do with data?” ” through a truly data literate organization. What is data democratization? What are your data and AI objectives?

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