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Tag: data mesh

Data Architecture Challenges

The more your business grows, the more complex your business’s Data Architecture becomes. Enterprise Data Architecture challenges abound – from the beginning and throughout...

Data Mesh vs. Data Lake: Which Is Better for Your Business?

In a data-driven business climate, data is playing a key role in capturing market intelligence and “actionable insights” to augment business operations. Thus, Data...

Rising trends: Data fabric

The question of the day is, “What is data fabric?” Data-driven decision-making and increasing data practices are becoming more widespread in the business world....

The Evolution of Data Virtualization: From Data Integration to Data Management

Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance...

Webinar: Five Things to Consider About Data Mesh and Data Governance

  To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Data mesh was among the most discussed and controversial enterprise data management topics of 2021. One of the reasons people struggle with data mesh concepts is we still have a lot of open questions that we are […]

The post Webinar: Five Things to Consider About Data Mesh and Data Governance appeared first on DATAVERSITY.

Slides: Five Things to Consider About Data Mesh and Data Governance

To view the on-demand recording from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Data mesh was among the most discussed and controversial enterprise data management topics of 2021. One of the reasons people struggle with data mesh concepts is we still have a lot of open questions that we are not […]

The post Slides: Five Things to Consider About Data Mesh and Data Governance appeared first on DATAVERSITY.

How is the ‘Mesh’ Resolving Bottlenecks of Data Management

If you are stuck with dumping data into warehouses and lakes then you are most likely not prepared for what’s coming up next. We are sliding into Web 3.0, an era of decentralization that trusts local ownership. This era is changing data as we know it. It has begun to testify its worth with products […]

The post How is the ‘Mesh’ Resolving Bottlenecks of Data Management appeared first on SmartData Collective.

Data Strategy Trends in 2022

What is Data Strategy? “Well, the short answer is, it’s the data chapter of your business strategy,” said John Ladley, consultant and author of the book Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program. Contrary to popular belief, the one thing it isn’t, he said, is a technology procurement plan. […]

The post Data Strategy Trends in 2022 appeared first on DATAVERSITY.

Data Architecture Trends in 2022

The primary purpose of implementing a Data Architecture is to standardize the methods and  protocols, as well as the systems for acquiring, storing, managing, and sharing data across the enterprise for improved decision-making. In modern businesses, most decisions are made in real time, and to facilitate an efficient and real-time friendly Data Management infrastructure, data […]

The post Data Architecture Trends in 2022 appeared first on DATAVERSITY.

A new book that will revolutionize the way your organization approaches data!

Data Mesh in Action by Jacek Majchrzak, Sven Balnojan, and Marian Siwiak reveals how this new groundbreaking decentralized architecture looks for both small startups and large enterprises.

KDnuggets™ News 22:n07, Feb 16: How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture

How to Learn Math for Machine Learning; Data Mesh & Its Distributed Data Architecture; 5 Ways to Apply AI to Small Data Sets; Top 5 Free Machine Learning Courses; Junior Data Scientist: The Next Level

Build a data sharing workflow with AWS Lake Formation for your data mesh

A key benefit of a data mesh architecture is allowing different lines of business (LOBs) and organizational units to operate independently and offer their data as a product. This model not only allows organizations to scale, but also gives the end-to-end ownership of maintaining the product to data producers that are the domain experts of […]

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