Data Mesh

Showing 1 - 10 of 51 pages tagged with: Data Mesh

DBTA Report: Data Mesh Adoption: Challenges & Opportunities

Right now, nearly two-thirds of DBTA subscribers have budgeted for initiatives related to modernizing their data platforms and data mesh is at the forefront of many data architecture discussions. Given the ongoing challenges data teams have faced in democratizing data at scale, this is not surprising. More and more enterprises are adopting a “data-as-a-product” mindset, and this means getting data out of silos and into the hands of data consumers through greater self-service capabilities. The decentralized approach of data mesh has emerged as a popular choice for organizations hungry to...

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Is Data Mesh or Data Fabric in Your Future? Prerequisites for Success (INDIA)

In the era of data-driven decisions, how you manage and utilize your data is a critical determinant of your business's success. Understanding whether a Data Mesh or Data Fabric is suitable for you can revolutionize your data strategy, sparking innovation and providing you with the insights to drive your business forward.Join Kevin Bohan, Director of Product Marketing at Denodo, as he sheds light on their respective strengths, use cases, and considerations. He will highlight the prerequisites necessary for implementing these architectures and offer valuable insights to help you make informed...

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Data Services and Data Mesh projects made easy using Top-Down Modeling

In Data Services and Data Mesh Projects, decoupling the work of the Developer from that of the Data Architect or data products owner helps in speeding up the overall delivery of the project. It can be achieved by using Top-Down design. Do you want to follow Top-Down design in the Data Services or Data Mesh projects? Do you want to transform an existing Data Model into a Data Service Model easily? In the context of the Data Mesh project, do you want to make several teams create data products independently?Join us for the session with Rajeshkumar Ganeshan, Associate Director at Denodo, to...

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Accelerating the Creation of Value with Data Mesh

Alberto Pan, Executive VP and CTO at Denodo, solution leader in data management, talks to us about the virtues of a decentralized approach to data management according to the Data Mesh concept, to increase the agility of data-driven organisations, guarantee the quality of data and democratize it.

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Logical Data Management as the Foundation for a Data-Driven Organization (APAC)

While most companies have initiatives to become data-driven, the fact of the matter is that data is underutilized. In a recent survey, 62% of respondents indicated they could not find, access, and analyze over half of their data. As a result, your organization makes decisions using a partial view of the facts.One of the main causes for this problem is that your data is distributed over a wide variety of locations and stored in a variety of formats.Modern data-driven organizations are adopting new approaches like a data fabric or a data mesh to help them manage this diverse and distributed...

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Data Mesh: Game Changer or Just Hot Air? (APAC)

BARC Survey Findings and Open Discussion

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Data Fabric vs. Data Mesh - What are the Differences and Why Should Organizations Care?

Podcast Guest: Saptarshi Sengupta, Senior Director of Product Marketing, Denodo

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Data Mesh: Game Changer or Just Hot Air?

BARC Survey Findings and Open Discussion

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Importance of a Logical First Architecture in a Cloud First Data Landscape

Panel by Jacob Lynn, Data & Analytics Manager at Textron and Rex Washburn, Lead Architect & Head of Portfolio, Modern Data Platforms at CDW; and moderated by Inessa Gerber, Director of Product Management at Denodo.

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Transforming Data Management in the Cloud with the Denodo Platform

Denodo Keynote by Paul Moxon, SVP Data Architectures & Chief Evangelist at Denodo.

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