Data Virtualization

JUNE 16, 2022

Reading Time: 6 minutes Data Governance as a concept and practice has been around for as long as data management has been around. It, however is gaining prominence and interest in recent years due to the increasing volume of data that needs to be.

Data Governance 98

Data Governance Data Integration Management Data Lake 98

CIO Business Intelligence

APRIL 29, 2022

Data-centric AI is evolving, and should include relevant data management disciplines, techniques, and skills, such as data quality, data integration, and data governance, which are foundational capabilities for scaling AI. Addressing the Challenge.

Data Governance 145

Data Governance IT Data Lake Risk 145

David Menninger's Analyst Perspectives

OCTOBER 7, 2020

For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions.

Technology 337

Technology Management Testing Data Integration 337

CIO Business Intelligence

DECEMBER 20, 2024

A scalable data architecture should be able to scale up (adding more resources or processing power to individual machines) and to scale out (adding more machines to distribute the load of the database). Flexible data architectures can integrate new data sources, incorporate new technologies, and evolve with business needs.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

Metadata 98

Metadata Data Governance Enterprise Reporting 98

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 governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 109

Data Governance Unstructured Data Metadata Data Lake 109

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 324

Management Data Warehouse Data Quality Data Integration 324

IBM Big Data Hub

APRIL 9, 2018

There’s a general need for next-gen executives to not only understand corporate regulations, but be able to adhere to and follow them using metadata solutions like data governance. As the business world’s top asset becomes data, data governance will ensure that data and information being handled is consistent, reliable and trustworthy.

Data Governance 89

Data Governance Metadata Data Integration Analytics 89

O'Reilly on Data

FEBRUARY 4, 2019

Our survey showed that companies are beginning to build some of the foundational pieces needed to sustain ML and AI within their organizations: Solutions, including those for data governance, data lineage management, data integration and ETL, need to integrate with existing big data technologies used within companies.

Machine Learning 279

Machine Learning Enterprise IoT Big Data 279

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Points of integration. Sources, like IoT.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

erwin

MAY 17, 2021

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

AWS Big Data

JANUARY 15, 2025

Data landscape in EUROGATE and current challenges faced in data governance The EUROGATE Group is a conglomerate of container terminals and service providers, providing container handling, intermodal transports, maintenance and repair, and seaworthy packaging services. Eliminate centralized bottlenecks and complex data pipelines.

IoT 100

IoT Machine Learning Metadata Data-driven 100

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

erwin

MAY 13, 2020

The role of data modeling (DM) has expanded to support enterprise data management, including data governance and intelligence efforts. After all, you can’t manage or govern what you can’t see, much less use it to make smart decisions. DM captures and shares how the business describes and uses data.

Data Governance 93

Data Governance Enterprise Modeling Management 93

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Data lineage is now one of three core components of the company’s data observability platform, alongside automated monitoring and anomaly detection. Having trust in data is crucial to business decision-making.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

Octopai

AUGUST 3, 2022

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

Data Integration 98

Data Integration Manufacturing Data Quality Data Governance 98

O'Reilly on Data

JANUARY 29, 2019

These include data integration and extract, transform, and load (ETL) (60% of respondents indicated they were building or evaluating solutions), data preparation and cleaning (52%), data governance (31%), metadata analysis and management (28%), and data lineage management (21%).

Deep Learning 268

Deep Learning Machine Learning Data Science Metadata 268

TDAN

SEPTEMBER 19, 2023

Information technology (IT) plays a vital role in data governance by implementing and maintaining strategies to manage, protect, and responsibly utilize data. Through advanced technologies and tools, IT ensures that data is securely stored, backed up, and accessible to authorized personnel.

Data Governance 81

Data Governance IT Strategy Management 81

BI-Survey

FEBRUARY 17, 2020

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy. This is where data governance comes in.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Alation

JANUARY 20, 2022

In Ryan’s “9-Step Process for Better Data Quality” he discussed the processes for generating data that business leaders consider trustworthy. To be clear, data quality is one of several types of data governance as defined by Gartner and the Data Governance Institute. Step 4: Data Sources.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

Analytics Vidhya

JUNE 26, 2023

Introduction Data is, somewhat, everything in the business world. To state the least, it is hard to imagine the world without data analysis, predictions, and well-tailored planning! 95% of C-level executives deem data integral to business strategies.

Management 322

Management IT Data Integration Strategy 322

O'Reilly on Data

MAY 21, 2019

Not surprisingly, data integration and ETL were among the top responses, with 60% currently building or evaluating solutions in this area. In an age of data-hungry algorithms, everything really begins with collecting and aggregating data. and managed services in the cloud. Marquez (WeWork) and Databook (Uber).

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

O'Reilly on Data

FEBRUARY 11, 2019

As companies ingest and use more data, there are many more users and consumers of that data within their organizations. Data lineage, data catalog, and data governance solutions can increase usage of data systems by enhancing trustworthiness of data. Data Platforms.

Big Data 269

Big Data Technology Machine Learning Deep Learning 269

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

DataKitchen

APRIL 13, 2021

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . QuerySurge – Continuously detect data issues in your delivery pipelines. Process Analytics. Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Science 300

Martha Bennett

AUGUST 31, 2021

Does your organization struggle with issues of data integrity? Find out what three of the most common data integrity challenges are and how you can solve them.

Data Integration 82

Data Integration Data Governance 82

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

David Menninger's Analyst Perspectives

JUNE 12, 2019

Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

Management 270

Management Data Quality Data Integration Data Lake 270

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 79

Data Integration Metadata Data-driven Data Architecture 79

Data Virtualization

DECEMBER 21, 2023

Reading Time: 2 minutes Data mesh is a modern, distributed data architecture in which different domain based data products are owned by different groups within an organization. And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve.

Data Governance 59

Data Governance Data Architecture Data Integration Management 59

CIO Business Intelligence

FEBRUARY 26, 2025

The problem is that, before AI agents can be integrated into a companys infrastructure, that infrastructure must be brought up to modern standards. In addition, because they require access to multiple data sources, there are data integration hurdles and added complexities of ensuring security and compliance.

IT 141

IT Enterprise Interactive Data Quality 141

Alation

AUGUST 9, 2022

But in the four years since it came into force, have companies reached their full potential for data integrity? But firstly, we need to look at how we define data integrity. What is data integrity? Many confuse data integrity with data quality. Is integrity a universal truth?

Data Integration 52

Data Integration Data Quality Measurement Data-driven 52

Alation

JANUARY 27, 2022

People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. An effective data governance program ensures data consistency and trustworthiness. It can also help prevent data misuse.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive.

IT 59

IT Data Governance Data-driven Metrics 59

erwin

JUNE 17, 2021

erwin by Quest just released the “ 2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59

DataKitchen

NOVEMBER 18, 2021

In our survey, data engineers cited the following as causes of burnout: The relentless flow of errors. Restrictive data governance Policies. For see the entire results of the data engineering survey, please visit “ 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.”.

Testing 246

Testing Data Governance Measurement Software 246