Data Virtualization

DECEMBER 21, 2023

And data fabric is a self-service data layer that is supported in an orchestrated fashion to serve. The post Data Governance in a Data Mesh or Data Fabric Architecture appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Governance 59

Data Governance Data Architecture Data Integration Management 59

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

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

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 uncovers the connections between disparate data elements.

Data Governance 93

Data Governance Modeling Enterprise Management 93

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Digital Transformation Cost-Benefit 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 317

Technology Management Testing Data Integration 317

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Alation

AUGUST 9, 2022

On top of this, we’re living through the age of big data , where more information is being processed and stored by organisations that also have to manage regulations. But in the four years since it came into force, have companies reached their full potential for data integrity? What is data integrity?

Data Integration 52

Data Integration Data Quality Measurement Strategy 52

IBM Big Data Hub

AUGUST 23, 2023

Because of this, when we look to manage and govern the deployment of AI models, we must first focus on governing the data that the AI models are trained on. This data governance requires us to understand the origin, sensitivity, and lifecycle of all the data that we use. and watsonx.data.

Data Governance 54

Data Governance Enterprise Modeling Risk 54

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Recommendations for Data and AI Leaders. Addressing the Challenge.

Data Governance 144

Data Governance IT Risk Data Lake 144

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 93

Data Integration Manufacturing Data Quality Data Governance 93

Data Virtualization

MARCH 7, 2024

Reading Time: 3 minutes As we move deeper into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies. One thing is clear; if data-centric organizations want to succeed in.

Management 59

Management Data Integration Strategy Data Lake 59

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 246

Management Data Quality Data Integration Data Lake 246

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 84

Metadata Data Governance Enterprise Reporting 84

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 83

Data Integration Metadata Data-driven Data Architecture 83

Data Virtualization

JANUARY 25, 2024

Reading Time: 3 minutes As we head into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies.

Management 59

Management Data Integration Strategy Data Lake 59

Data Virtualization

JUNE 9, 2022

Reading Time: 4 minutes Join our discussion on All Things Data with Fred Baradari, Federal Partner and Channel Sales Director at Denodo, with a focus on how Data Governance and Security are the real champions in bringing IT transformation. Listen to “The Role of.

Data Governance 52

Data Governance IT Sales Data Integration 52

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

CIO Business Intelligence

NOVEMBER 17, 2022

A key component to the appeal of cloud-first business models is cloud technologies’ ability to simplify processes and streamline workflows through integration and automation. This is especially true for content management operations looking to navigate the complexities of data compliance while getting the most from their data.

Software 135

Software Management Digital Transformation Technology 135

Jet Global

MARCH 4, 2024

Modern businesses thrive on accurate, timely data. But when it comes to managing your SAP system, it can be easy to get lost in the data maze. Navigating the Data Maze: Challenges in the SAP Landscape For SAP users, data management can feel like a labyrinth, fraught with obstacles and frustrating dead ends.

Management 52

Management Data Governance Reporting Software 52

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

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

Data Virtualization

AUGUST 17, 2023

Reading Time: 2 minutes Regulatory compliance is a critical consideration for businesses, especially in heavily regulated sectors such as financial services and pharmaceuticals, which require companies to frequently submit detailed reports about their operations to government agencies. Compliance often requires a significant investment of.

Management 52

Management Data Integration Reporting Data Governance 52

Data Virtualization

SEPTEMBER 16, 2021

Today, the market offers a wide range of IaaS options for data storage, with several public clouds vying for the attention of enterprise customers. The post Data Virtualization: Easy Data Integration for Complex Pipelines appeared first on Data Virtualization blog.

Data Integration 52

Data Integration Marketing Enterprise Data Governance 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. Despite these benefits, the core problems that data centralization so often fails to address are the pragmatic realities of many enterprise data ecosystems.

Insurance 85

Insurance Strategy Data Governance Data Integration 85

erwin

JANUARY 3, 2019

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Big Data Batman (@BigDataBatman) January 29, 2019. The erwin Expert Network.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

erwin

JANUARY 11, 2019

But the attempts to standardize data across the entire enterprise haven’t produced the desired results. A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

JANUARY 24, 2024

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. They also need to establish clear privacy, regulatory compliance, and data governance policies.

Data Strategy 133

Data Strategy Strategy Unstructured Data Data Governance 133

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. Multicloud data integration.

Management 57

Management Data Quality Metadata Data Integration 57

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Sandbox Creation and Management. 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. . Sandbox Creation and Management.

Testing 307

Testing Machine Learning Consulting Data Quality 307

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 277

Machine Learning Enterprise IoT Big Data 277

IBM Big Data Hub

JUNE 29, 2023

The term ‘IBP’ was introduced by the management consulting firm Oliver Wight to describe an evolved version of the sales and operations planning (S&OP process) they originally developed in the early 1980s. Strategic planning Integrated Business Planning starts with strategic planning.

Key Performance Indicator 80

Key Performance Indicator Forecasting Data Integration Sales 80

Ontotext

JANUARY 10, 2024

Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time. Finally, I will elaborate on the major design patterns and the requirements for an enterprise-wide knowledge graph management platform. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

AWS Big Data

NOVEMBER 15, 2023

You can learn about data integration technologies and strategies with sessions such as ANT326: Set up a zero-ETL based analytics architecture for your organizations, ANT331: Build an end-to-end data strategy for analytics and generative AI, and ANT218: Unified and integrated near real-time analytics with zero-ETL.

Broadcasting 111

Broadcasting Recreation/Entertainment Data Governance Strategy 111

Data Virtualization

MARCH 28, 2024

As noted in the Gartner Hype Cycle for Finance Data and Analytics Governance, 2023, “Through. The post My Understanding of the Gartner® Hype Cycle™ for Finance Data and Analytics Governance, 2023 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Finance 69

Finance Digital Transformation Analytics Data Integration 69

Octopai

MAY 15, 2023

How can you save your organizational data management and hosting cost using automated data lineage. Do you think you did everything already to save organizational data management costs? What kind of costs organization has that data lineage can help with? Well, you probably haven’t done this yet!

Data Quality 52

Data Quality Data Governance Data Integration Risk 52