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 59

Metadata Management Business Intelligence Data Governance 59

AWS Big Data

NOVEMBER 13, 2024

The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa. Next, we detail the governance guardrails of the Volkswagen Autoeuropa data solution. These data products belonged to data domains such as production, finance, and logistics.

Metadata 105

Metadata Data Quality Digital Transformation Data-driven 105

Timo Elliott

JANUARY 6, 2022

The data you’ve collected and saved over the years isn’t free. 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 yet to implement data governance, this is another great reason to get moving quickly.

IT 135

IT Metadata Data-driven Data Governance 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

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

AWS Big Data

OCTOBER 25, 2023

But most important of all, the assumed dormant value in the unstructured data is a question mark, which can only be answered after these sophisticated techniques have been applied. Therefore, there is a need to being able to analyze and extract value from the data economically and flexibly. The solution integrates data in three tiers.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

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

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 115

Analytics Metadata Data Strategy Optimization 115

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

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

AWS Big Data

NOVEMBER 14, 2024

Under the hood, UniForm generates Iceberg metadata files (including metadata and manifest files) that are required for Iceberg clients to access the underlying data files in Delta Lake tables. Both Delta Lake and Iceberg metadata files reference the same data files. The table is registered in AWS Glue Data Catalog.

Metadata 121

Metadata Data Warehouse Big Data Data Lake 121

AWS Big Data

JUNE 10, 2024

A modern data strategy redefines and enables sharing data across the enterprise and allows for both reading and writing of a singular instance of the data using an open table format. When evolving such a partition definition, the data in the table prior to the change is unaffected, as is its metadata.

Data Lake 126

Data Lake Metadata Snapshot Analytics 126

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Alation

MARCH 1, 2023

To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What is your data strategy and how did you begin to implement it? Here’s a recap of our discussion.

Data Strategy 52

Data Strategy Strategy Metadata Interactive 52

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

CIO Business Intelligence

NOVEMBER 27, 2024

The analytics that drive AI and machine learning can quickly become compliance liabilities if security, governance, metadata management, and automation aren’t applied cohesively across every stage of the data lifecycle and across all environments.

Data Governance 132

Data Governance Risk Insurance Metadata 132

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

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. Data discoverability Unlike structured data, which is managed in well-defined rows and columns, unstructured data is stored as objects.

Data Governance 123

Data Governance Unstructured Data Metadata Data Lake 123

CIO Business Intelligence

SEPTEMBER 12, 2024

While some enterprises are already reporting AI-driven growth, the complexities of data strategy are proving a big stumbling block for many other businesses.

ROI 110

ROI Cost-Benefit Unstructured Data Metadata 110

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

Data Virtualization

MAY 19, 2023

Reading Time: 11 minutes The post Data Strategies for Getting Greater Business Value from Distributed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

Data Warehouse 121

Data Warehouse Metadata Data Integration Business Intelligence 121

AWS Big Data

DECEMBER 4, 2024

As organizations grapple with exponential data growth and increasingly complex analytical requirements, these formats are transitioning from optional enhancements to essential components of competitive data strategies. These are useful for flexible data lifecycle management.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

TDAN

JANUARY 5, 2021

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. Understandably, Data Catalogs […].

Metadata 52

Metadata Management IT Data Governance 52

CIO Business Intelligence

OCTOBER 13, 2023

A sampling of data architect job descriptions shows key areas of responsibility such as: creating a DataOps and BI transformation roadmap, developing and sustaining a data strategy, implementing and optimizing physical database design, and designing and implementing data migration and integration processes.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

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. I thought I’d spend a bit of time to reflect on the question and answer […].

Metadata 88

Metadata Data Architecture IT Data Strategy 88

AWS Big Data

OCTOBER 29, 2024

To achieve this, they aimed to break down data silos and centralize data from various business units and countries into the BMW Cloud Data Hub (CDH). Consumer accounts : Used by data consumers to implement use cases insights and build applications tailored to their business needs.

Data Lake 105

Data Lake Sales Metadata Machine Learning 105

Cloudera

JUNE 7, 2022

In our very own Enterprise Data Maturity research surveying over 3,000 IT and senior business leaders, we found that 40% of organizations are currently running hybrid but mostly on-premises, and 36% of respondents expect to shift to hybrid multi-cloud in the next 18 months. Where data flows, ideas follow.

IT 118

IT Data Architecture Unstructured Data Big Data 118

TDAN

JUNE 18, 2019

Is your organization struggling to succeed with your Data Governance program? Data Governance occurs best when done in conjunction with the business processes and not as a “bolt on”/additional activity. Many organizations have attempted to implement Data Governance and their business glossary with a very limited […].

Data Governance 56

Data Governance Metadata Data Strategy Business Intelligence 56

IBM Big Data Hub

OCTOBER 4, 2023

Artificial intelligence (AI) is now at the forefront of how enterprises work with data to help reinvent operations, improve customer experiences, and maintain a competitive advantage. It’s no longer a nice-to-have, but an integral part of a successful data strategy. All of this supports the use of AI.

Data Lake 77

Data Lake Metadata Cost-Benefit Data Warehouse 77

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). Data Strategy Drives Cloud Strategy.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

Ontotext

SEPTEMBER 15, 2020

The Data Fabric paradigm combines design principles and methodologies for building efficient, flexible and reliable data management ecosystems. Knowledge Graphs are the Warp and Weft of a Data Fabric. To implement any Data Fabric approach, it is essential to be able to understand the context of data.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

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 88

Metadata Data Lake Optimization Modeling 88

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. Without this, organizations will continue to pay a “bad data tax” as AI/ML models will struggle to get past a proof of concept and ultimately fail to deliver on the hype.

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

DECEMBER 16, 2022

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more.

Testing 98

Testing Metadata Data Processing Machine Learning 98

CIO Business Intelligence

JULY 13, 2022

Data makes the most ambitious and even idealistic goals—like making the world a better place—possible. This is intrinsically worthwhile, but it has now been codified as part of the Federal Data Strategy and its stated mission to “fully leverage the value of federal data for mission, service, and the public good.”

Data-driven 98

Data-driven Metadata Optimization Machine Learning 98

AWS Big Data

JULY 28, 2023

By creating visual representations of data flows, organizations can gain a clear understanding of the lifecycle of personal data and identify potential vulnerabilities or compliance gaps. Note that putting a comprehensive data strategy in place is not in scope for this post.

Snapshot 98

Snapshot Metadata Measurement Data Warehouse 98