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The Difference Between Enterprise Architecture and Solutions Architecture

erwin

Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate. And as with data architecture , a solution architect’s focus is narrower. In this post: What Is a Solutions Architect?

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Data Strategy and Decentralization: A Data Architect’s View

Alation

How are blockchain organizations tackling data management? To learn the answer, we sat down with Karla Kirton , Data Architect at Blockdaemon, a blockchain company, to discuss data strategy , decentralization, and how implementing Alation has supported them. What are the goals of your data team?

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The Difference Between Enterprise Architecture and Solutions Architecture

erwin

Much like the differences between enterprise architecture (EA) and data architecture, EA’s holistic view of the enterprise will often see enterprise and solution architects collaborate. And as with data architecture , a solution architect’s focus is narrower. In this post: What Is a Solutions Architect?

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Week in the Life of an Analyst at Gartner US IT Symposium (virtual) 2021

Andrew White

If you follow my blog for any period of time you will know that for most years I have attended our annual Gartner IT Symposium I do a day-in-the-life blog of an analyst. Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. D&A Strategy/infusing business with (overall) 16.

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Cloud Analytics Powered by FinOps

Cloudera

The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. The public cloud is increasingly becoming the preferred platform to host data analytics – related projects, such as business intelligence, machine learning (ML), and AI applications.

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DataOps is the Factory that Supports Your Data Mesh

DataKitchen

Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in successfully implementing a data mesh.

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Unlock data across organizational boundaries using Amazon DataZone – now generally available 

AWS Big Data

Amazon DataZone enables customers to discover, access, share, and govern data at scale across organizational boundaries, reducing the undifferentiated heavy lifting of making data and analytics tools accessible to everyone in the organization. This is challenging because access to data is managed differently by each of the tools.

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