Data Virtualization

APRIL 30, 2025

Reading Time: 3 minutes Data is often hailed as the most valuable assetbut for many organizations, its still locked behind technical barriers and organizational bottlenecks. Modern data architectures like data lakehouses and cloud-native ecosystems were supposed to solve this, promising centralized access and scalability.

Data Architecture

Data Virtualization

JULY 15, 2025

From streaming trade data and fraud signals to real-time KYC updates and credit scoring models, the tempo of financial operations has shifted to milliseconds.

Data Integration

erwin

JULY 9, 2025

Today’s data teams are more distributed than ever, working with an increasingly complex modern data stack that spans cloud warehouses, transformation tools, and API-first architectures. Yet despite these technological advances, one challenge persists: overcoming the gap between data modeling and implementation.

Modeling

Cloudera

DECEMBER 3, 2024

Many enterprises have heterogeneous data platforms and technology stacks across different business units or data domains. For decades, they have been struggling with scale, speed, and correctness required to derive timely, meaningful, and actionable insights from vast and diverse big data environments.

Metadata

Data Virtualization

MAY 22, 2025

Reading Time: 2 minutes The data lakehouse has emerged as a powerful and popular data architecture, combining the scale of data lakes with the management features of data warehouses. It promises a unified platform for storing and analyzing structured and unstructured data, particularly for.

Data Lake

Data Virtualization

JUNE 19, 2025

It aims to rebalance power in the digital ecosystem by promoting fair, transparent, The post Unlocking Data Democracy: Denodo and the European Data Act appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Integration

Data Virtualization

MAY 23, 2025

The post Building a Truly Smart Nation Why Data Interoperability Is the Next Digital Breakthrough appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. But the real challenge often lies.

Data Integration

TDAN

MAY 21, 2025

In business today, the ability to embraceflexible technology adoptionhas become a critical factor for success. Yetonly 48%of digitization initiatives meet or exceed their intended outcomes. Clearly, theres a very big gap between expectations and reality for transformation projects.

Technology

Data Virtualization

APRIL 10, 2025

Citizens expect efficient services, The post Empowering the Public Sector with Data: A New Model for a Modern Age appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In this dynamic environment, time is everything.

Modeling

CIO Business Intelligence

MAY 1, 2025

In other words, its ability to navigate complex business environments, interface with multiple technology systems, reason through business rules, and deliver value aligned with business goals. This evolution isnt just about creating a single general system that does everything, Savarese wrote in a blog post today. Risk governance.

Enterprise

Data Virtualization

DECEMBER 20, 2024

Reading Time: 3 minutes Gartner Hype Cycle provides a graphic representation of the maturity and adoption of technologies and applications, and how they are potentially relevant to solving real business problems and exploiting new opportunities. Gartner Hype Cycle methodology provides a view of how.

Management

Data Virtualization

MAY 6, 2025

Reading Time: 3 minutes A few months ago, I spoke with the head of data architecture at a leading European bank. Theyd just completed a multi-year investment in a modern data lakehouse platform a combination of Databricks on Azure, paired with legacy systems.

Data Architecture

Data Virtualization

JUNE 3, 2025

Reading Time: 2 minutes An edited version of this blog is also posted onInsightJam. The recent announcement that Salesforce is acquiring Informatica has sent waves throughout the data management community. This follows ServiceNows acquisition of data.world, a cloud-native data catalog platform, raising questions in.

Data Integration

erwin

MAY 8, 2025

To ensure your data architecture remains secure and future-ready, your best bet is to proactively replace SAP PowerDesigner with a powerful alternative now. Incompatibility with modern technologies: PowerDesigner was built for an earlier era of data management. Dont saddle your organization with outdated technology.

Modeling

erwin

MAY 7, 2020

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. The Value of Data Architecture. Data Architecture and Data Modeling.

Data Architecture

Data Virtualization

MAY 6, 2021

However, most of this data is not new or original, much of it is copied data. For example, data about a. The post Data Minimization as Design Guideline for New Data Architectures appeared first on Data Virtualization blog.

Data Architecture

Cloudera

JULY 11, 2022

The need for data fabric. As Cloudera CMO David Moxey outlined in his blog , we live in a hybrid data world. Data is growing and continues to accelerate its growth. Cloudera data fabric and analyst acclaim. Data fabrics are one of the more mature modern data architectures. Next steps.

Data Architecture

Cloudera

MARCH 28, 2024

At a time when AI is exploding in popularity and finding its way into nearly every facet of business operations, data has arguably never been more valuable. More recently, that value has been made clear by the emergence of AI-powered technologies like generative AI (GenAI) and the use of Large Language Models (LLMs).

Data Architecture

Cloudera

MAY 28, 2024

It’s not enough for businesses to implement and maintain a data architecture. The unpredictability of market shifts and the evolving use of new technologies means businesses need more data they can trust than ever to stay agile and make the right decisions.

Data Architecture

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Data Architecture

Cloudera

JUNE 29, 2023

Technology alone would not have prevented the banking crisis, but the fact remains that financial institutions still aren’t leveraging technology as creatively, intelligently, and cost-effectively as they should be. Apply emerging technology to intraday liquidity management.

Data Architecture

Cloudera

AUGUST 1, 2024

Enterprise IT leaders across industries are tasked with preparing their organizations for the technologies of the future – which is no simple task. Challenges in Implementing AI Implementing AI does not come without challenges for many organizations, primarily due to outdated or inadequate data infrastructures. EMEA and APAC regions.

Data Architecture

DataKitchen

SEPTEMBER 17, 2021

It would be incredibly inefficient to build a data mesh without automation. DataOps focuses on automating data analytics workflows to enable rapid innovation with low error rates. It also engenders collaboration across complex sets of people, technology, and environments. Conclusion.

Testing

AWS Big Data

SEPTEMBER 11, 2024

This blog post is co-written with Hardeep Randhawa and Abhay Kumar from HPE. This post describes how HPE Aruba automated their Supply Chain management pipeline, and re-architected and deployed their data solution by adopting a modern data architecture on AWS.

Data Architecture

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Deploying modern data architectures. Lack of sharing hinders the elimination of fraud, waste, and abuse.

Data Architecture

TDAN

FEBRUARY 16, 2021

While we have seen a change in the calendar year, one initiative that continues to be a top priority for businesses is storing, managing, accessing and optimizing corporate data. With the new year events well behind us, we’re steadily focused on moving forward in 2021. Given that, let’s consider what I believe will be some […].

Technology

DataKitchen

DECEMBER 30, 2020

Full disclosure: some images have been edited to remove ads or to shorten the scrolling in this blog post. DBTA’s 100 Companies That Matter Most in Data. DataKitchen and its DataKitchen DataOps platform have been attracting attention in the emerging realm of data operations or “DataOps.”.

Testing

DataKitchen

NOVEMBER 29, 2021

DataOps adoption continues to expand as a perfect storm of social, economic, and technological factors drive enterprises to invest in process-driven innovation. As a result, enterprises will examine their end-to-end data operations and analytics creation workflows. Data Gets Meshier.

Testing

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data teams are confused as to whether they should get on the bandwagon of just one of these trends or pick a combination. First, we describe how data mesh and data fabric could be related.

Data Architecture

Cloudera

JULY 29, 2022

Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”. This does not mean ‘one of each’ – a public cloud data strategy and an on-prem data strategy. The proof is in the pudding.

Data Architecture

DataKitchen

MAY 10, 2021

The following resources will help you understand DataOps principles and how to get started: Blog: For Data Team Success, What You Do is Less Important Than How You Do It. Blog: What is DataOps ? White Paper: DataOps is Not Just DevOps for Data . Blog: 4 Easy Ways to Start DataOps Today.

Data-driven

Cloudera

SEPTEMBER 26, 2023

Learn more about how you can benefit from a well-supported data management platform and ecosystem of products, services and support by visiting the IBM and Cloudera partnership page. The post IBM Technology Chooses Cloudera as its Preferred Partner for Addressing Real Time Data Movement Using Kafka appeared first on Cloudera Blog.

Technology

IBM Big Data Hub

JANUARY 5, 2023

Several factors determine the quality of your enterprise data like accuracy, completeness, consistency, to name a few. But there’s another factor of data quality that doesn’t get the recognition it deserves: your data architecture. How the right data architecture improves data quality.

Data Architecture

Data Virtualization

DECEMBER 2, 2021

Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Data Architecture

Data Virtualization

DECEMBER 2, 2021

Practically overnight, organizations have been forced to adapt by modernizing their data architectures to support new types of analysis and new ways to connect to data. The post Modernize Your Data Architecture with Data Virtualization appeared first on Data Virtualization blog.

Data Architecture

Ontotext

JULY 26, 2019

In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world. Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What? Not surprisingly, everyone seems to have or want to have a knowledge graph.

Technology

Data Virtualization

OCTOBER 5, 2022

Reading Time: 3 minutes At the heart of every organization lies a data architecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their data architectures, to ensure that they are aligned with current business goals.

Data Lake