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However, as a data team member, you know how important dataintegrity (and a whole host of other aspects of data management) is. In this article, we’ll dig into the core aspects of dataintegrity, what processes ensure it, and how to deal with data that doesn’t meet your standards.
Reading Time: 3 minutes Dataintegration is an important part of Denodo’s broader logical data management capabilities, which include data governance, a universal semantic layer, and a full-featured, business-friendly data catalog that not only lists all available data but also enables immediate access directly.
Reading Time: 3 minutes As organizations continue to pursue increasingly time-sensitive use-cases including customer 360° views, supply-chain logistics, and healthcare monitoring, they need their supporting data infrastructures to be increasingly flexible, adaptable, and scalable.
Data is considered by some to be the world’s most valuable resource. Going far beyond the limitations of physical resources, data has wide applications for education, automation, and governance. It is perhaps no surprise then, that the value of all the world’s data is projected to reach $280 billion by 2025.
Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized dataarchitectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle.
Reading Time: 3 minutes At the heart of every organization lies a dataarchitecture, determining how data is accessed, organized, and used. For this reason, organizations must periodically revisit their dataarchitectures, to ensure that they are aligned with current business goals.
Here, I’ll highlight the where and why of these important “dataintegration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall dataarchitecture introduces more complexity. Data and cloud strategy must align.
It can benefit the management of microservices, The post Apache Kafka and the Denodo Platform: Distributed Events Streaming Meets Logical DataIntegration appeared first on Data Management Blog - DataIntegration and Modern Data Management Articles, Analysis and Information.
The post My Reflections on the Gartner Hype Cycle for Data Management, 2024 appeared first on Data Management Blog - DataIntegration and Modern Data Management Articles, Analysis and Information. Gartner Hype Cycle methodology provides a view of how.
The post Querying Minds Want to Know: Can a Data Fabric and RAG Clean up LLMs? – Part 4 : Intelligent Autonomous Agents appeared first on Data Management Blog - DataIntegration and Modern Data Management Articles, Analysis and Information.
Reading Time: 2 minutes Data mesh is a modern, distributed dataarchitecture 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.
However, embedding ESG into an enterprise data strategy doesnt have to start as a C-suite directive. Developers, data architects and data engineers can initiate change at the grassroots level from integrating sustainability metrics into data models to ensuring ESG dataintegrity and fostering collaboration with sustainability teams.
Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our dataarchitecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.
Reading Time: 3 minutes We are always focused on making things “Go Fast” but how do we make sure we future proof our dataarchitecture and ensure that we can “Go Far”? Technologies change constantly within organizations and having a flexible architecture is key.
Flexibility is one strong driver: heterogeneous data, integrating new data sources, and analytics all require flexibility. We are in the era of graphs. Graphs are hot. Graphs deliver it in spades. Over the last few years, a number of new graph databases came to market. As we start the next decade, dare we say […].
Reading Time: 2 minutes In recent years, there has been a growing interest in dataarchitecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key.
But everyone — not just technologists, but also business leaders — must have both accountability and skills for using real-time data to drive the business and grow revenue. Consider pharma giant Novartis (as detailed in this Harvard Business Review article ). Leveraging real-time data used to be a technology problem.
Reading Time: 3 minutes While cleaning up our archive recently, I found an old article published in 1976 about data dictionary/directory systems (DD/DS). Nowadays, we no longer use the term DD/DS, but “data catalog” or simply “metadata system”. It was written by L.
Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] 1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used.
The post Navigating the New Data Landscape: Trends and Opportunities appeared first on Data Management Blog - DataIntegration and Modern Data Management Articles, Analysis and Information. At TDWI, we see companies collecting traditional structured.
When I asked him what his most pressing priority was for 2024, he answered, “taming the data storm.” The post One CIO’s 2024 Priority: Taming the Data Storm appeared first on Data Management Blog - DataIntegration and Modern Data Management Articles, Analysis and Information.
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. In the healthcare industry, dataintegration is of paramount importance. Read more at: [link].
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However, The post Use the Cloud More Creatively appeared first on Data Virtualization blog - DataIntegration and Modern Data Management Articles, Analysis and Information.
The idea seems, on the face of it, easy to understand: a data catalog is simply a centralized inventory of the data assets within an organization. Data catalogs also seek to be the. The post Choosing a Data Catalog: Data Map or Data Delivery App?
Reading Time: 4 minutes Some say that data is the new “black gold,” but I believe that just like crude oil, data has little value until you extract it, refine it, and put it to use. In this post, I will share some of.
Reading Time: 4 minutes Some say that data is the new “black gold,” but I believe that just like crude oil, data has little value until you extract it, refine it, and put it to use. In this post, I will share some of.
Despite modern advancements such as big data technologies and cloud, data often ends up in organized silos, but this means that cloud data is separated from.
Listen to “Is Data Fabric the Ideal Approach for Effective Data Management?” ” The post Data Fabric Approach for Effective Data Management appeared first on Data Virtualization blog - DataIntegration and Modern Data Management Articles, Analysis and Information.
That’s where the Denodo Platform steps in as your go-to solution for high-performance data. The post Accelerate Data Access: How the Denodo Platform Powers High-Performance Queries appeared first on Data Management Blog - DataIntegration and Modern Data Management Articles, Analysis and Information.
In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk).
In this article you will read why and how SPARQL queries make for a better search and are of immense help when it comes to accessing all the independently designed and maintained datasets across an organization (and outside it) in an integrated way. Normalizing data values (if needed).
The post The Energy Utilities Series: Challenges and Opportunities of Decarbonization (Post 2 of 6) appeared first on Data Management Blog - DataIntegration and Modern Data Management Articles, Analysis and Information. Decarbonization is the process of transitioning from.
Unfortunately, with data spread. The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - DataIntegration and Modern Data Management Articles, Analysis and Information.
Reading Time: 3 minutes During a recent house move I discovered an old notebook with metrics from when I was in the role of a Data Warehouse Project Manager and used to estimate data delivery projects. For the delivery a single data mart with.
Facing a range of regulations covering privacy, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to financial regulations such as Dodd-Frank and Basel II, to.
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Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks.
The post Data Governance and Security: The Champions of IT Transformation in the Public Sector appeared first on Data Virtualization blog - DataIntegration and Modern Data Management Articles, Analysis and Information. Listen to “The Role of.
Data migration the process of transferring data from one system to another is a critical undertaking for organizations striving to upgrade infrastructure, consolidate systems, or adopt new technologies. However, data migration challenges can be very complex, especially when doing large-scale data migration projects.
Gartner is explicit: Data catalogs play a foundational role in the data fabric. And leaders are recognizing the value of a strong data foundation. Indeed, the foundation of your dataarchitecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business.
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