TDAN

NOVEMBER 15, 2022

At the recent InfoGovWorld conference, I had the opportunity to participate in a panel discussion about the future of Data Governance. Common themes were the growing importance of governance metadata, especially in the areas of business value, success measurement and reduction in operational and data risk.

Metadata 52

Metadata Management Data Governance Measurement 52

CIO Business Intelligence

MARCH 4, 2024

With its emphasis on decentralized, domain-oriented data ownership and architecture, data mesh provides a potential answer for overmatched, out-manned businesses. The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Cloudera

APRIL 18, 2024

More Businesses Are Taking a Holistic Approach to Data Strategy One of the more common trends we saw coming up through conversations during the summit was the need for a reframing of how we approach data strategy—taking a much more holistic viewpoint to it than organizations otherwise would have in past years.

Analytics 110

Analytics Metadata Data Strategy Optimization 110

IBM Big Data Hub

JANUARY 5, 2023

A modern data architecture like Data Mesh and Data Fabric aims to easily connect new data sources and accelerate development of use case specific data pipelines across on-premises, hybrid and multicloud environments. Efficiently adopt data platforms and new technologies for effective data management.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

TDAN

NOVEMBER 3, 2020

I delivered this series of questions focused on relating their need for an over-arching data strategy with the […]. The purpose of the Q&A was to assist her with determining the most appropriate messaging to share across the company.

Data Strategy 64

Data Strategy Strategy Data Governance Metadata 64

Alation

OCTOBER 5, 2021

Answers will differ widely depending upon a business’ industry and strategy for growth. The first step towards a successful data governance strategy is setting appropriate goals and milestones. Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

TDAN

DECEMBER 2, 2020

Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.

Data Quality 90

Data Quality Metadata Data Governance Management 90

TDAN

JANUARY 5, 2021

Cataloging items has been a process used since the early 1900s to manage large inventories, whether it be books or antics. In this age, data management has become a necessary routine. Organizations have started to uncover large sets of data in the form of Assets typically used for analysis and decision making.

Metadata 52

Metadata Management IT Data Governance 52

TDAN

APRIL 6, 2021

A metadata-driven data warehouse (MDW) offers a modern approach that is designed to make EDW development much more simplified and faster. It makes use of metadata (data about your data) as its foundation and combines data modeling and ETL functionalities to build data warehouses.

Data Warehouse 52

Data Warehouse Metadata Data-driven Modeling 52

TDAN

JULY 20, 2021

They use data better. How does Spotify win against a competitor like Apple? Using machine learning and AI, Spotify creates value for their users by providing a more personalized experience.

Metadata 119

Metadata Machine Learning Data Architecture Data Strategy 119

TDAN

MAY 31, 2022

The main goal of creating an enterprise data fabric is not new. It is the ability to deliver the right data at the right time, in the right shape, and to the right data consumer, irrespective of how and where it is stored. Data fabric is the common “net” that stitches integrated data from multiple data […].

Metadata 98

Metadata Enterprise IT Data Architecture 98

TDAN

NOVEMBER 2, 2021

It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Answers will differ widely depending upon a business’ industry and growth strategy. But what […].

Data Governance 115

Data Governance Strategy Measurement IT 115

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. Data architects are frequently part of a data science team and tasked with leading data system projects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

Data Governance 91

Data Governance Unstructured Data Metadata Data Lake 91

Timo Elliott

JANUARY 6, 2022

If storage costs are escalating in a particular area, you may have found a good source of dark data. Analyze your metadata. If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape.

IT 133

IT Metadata Data-driven Data Governance 133

TDAN

AUGUST 31, 2021

A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters. Below, we will explore the main differences between Data Management […].

Data Governance 135

Data Governance Management Metadata Data Strategy 135

erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Cloudera

JUNE 7, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. Where data flows, ideas follow.

IT 113

IT Data Architecture Unstructured Data Big Data 113

Cloudera

JUNE 7, 2023

The revised ZTMM is organized by five categories or pillars: identity, devices, networks, applications and workloads, and data, and four levels of maturity: traditional, initial, advanced, and optimal. Cloudera Shared Data Experience (SDX) is a core component of Cloudera Data Platform’s architecture.

Metadata 83

Metadata Data Lake Optimization Modeling 83

CIO Business Intelligence

JUNE 23, 2022

The cause is hybrid data – the massive amounts of data created everywhere businesses operate – in clouds, on-prem, and at the edge. Only a fraction of data created is actually stored and managed, with analysts estimating it to be between 4 – 6 ZB in 2020. But this is not your grandfather’s big data.

IT 97

IT Data Architecture Unstructured Data Big Data 97

Alation

APRIL 19, 2021

With a good plan and a modern data catalog, you can minimize the time and cost of cloud migration. Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing? Alation & Global Data Strategy). A failed backup can make it impossible to recover lost data.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

CIO Business Intelligence

DECEMBER 16, 2022

An average premium of 12% was on offer for PMI Program Management Professional (PgMP), up 20%, and for GIAC Certified Forensics Analyst (GCFA), InfoSys Security Engineering Professional (ISSEP/CISSP), and Okta Certified Developer, all up 9.1% Despite this, average pay premiums for management, methodology and process skills rose 2.3%

Testing 98

Testing Metadata Data Processing Machine Learning 98

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. Enables a hub-and-spoke model for Data Access in multiple AWS accounts in a data mesh fashion.

Metadata 52

Metadata Dashboards Visualization Consulting 52

TDAN

SEPTEMBER 21, 2022

Both data governance and data management workflows are critical to ensuring the security and control of an organization’s most valuable asset— data. Is the positioning of data governance vs. data management correct? In this […].

Data Governance 59

Data Governance Management IT Metadata 59

Ontotext

SEPTEMBER 15, 2020

‘Data Fabric’ has reached where ‘Cloud Computing’ and ‘Grid Computing’ once trod. Data Fabric hit the Gartner top ten in 2019. The purpose of weaving a Data Fabric is to remove the friction and cost from accessing and sharing data in the distributed ICT environment that is the norm.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

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.

Data Governance 76

Data Governance Metadata Data Strategy Strategy 76

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

TDAN

JULY 5, 2022

Why Your Organization Suffers This series of columns addresses an essential function that many organizations neglect, an overlooked set of processes to manage the lifecycle of data acquisition and maintenance.

Management 52

Management Optimization Data Governance Metadata 52

TDAN

OCTOBER 5, 2022

Governance for Acquired Data / Selecting Sources Our next column in the series explores challenges with governing acquired data, and then we’ll introduce a framework for managing acquired data— the data acquisition lifecycle.

Management 52

Management Data Quality Data Governance Metadata 52

TDAN

MAY 17, 2022

There is… but one… Data Governance. Maybe you are one who believes that there is something called Master Data Governance, Information Governance, Metadata Governance, Big Data Governance, Customer [or insert domain name here] Data Governance, Data Governance 1.0 – 2.0 – 3.0, or maybe even that […].

Data Governance 98

Data Governance Metadata Big Data Data Strategy 98

TDAN

AUGUST 5, 2020

The new reality businesses face is fairly simple: capital expenditures have been frozen and finding inefficiencies in operational expenses has become priority one.

Management 114

Management Digital Transformation Modeling Metadata 114

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. How this strategy looks depends on the organization’s unique business needs as one affects the other.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

TDAN

DECEMBER 20, 2022

Over the past few months, my team in Castlebridge and I have been working with clients delivering training to business and IT teams on data management skills like data governance, data quality management, data modelling, and metadata management.

Metadata 52

Metadata Data Governance Data Quality Management 52

TDAN

MAY 2, 2023

Achieving Enterprise Data Awareness is a natural maturity progression within the governance domain. At this stage, companies rightly see Data Governance and Information Governance as a large metadata puzzle.

Enterprise 52

Enterprise Metadata Data Governance Data Strategy 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Here are a few common data management challenges: Regulatory compliance on data use.

Data-driven 59

Data-driven Enterprise Data Governance Data Lake 59