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How to Get Your Cloud Analytic Architecture Right

Teradata

Getting your Cloud data architecture right starts with understanding which data products you need, the roles they perform, & the functional & non-functional characteristics that those roles demand.

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A Multipurpose Database For Transactions And Analytics To Simplify Your Data Architecture With Singlestore

Data Engineering Podcast

What are some of the capabilities that it offers to reduce the need to incorporate multiple data stores for application and analytical architectures? What are some of the capabilities that it offers to reduce the need to incorporate multiple data stores for application and analytical architectures?

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A Prequel to Data Mesh

Towards Data Science

When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well. So what was missing?

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5 Can't Miss MongoDB.live Talks

Rockset

Shrey Batra comes from LinkedIn and Innovaccer, two companies with particularly data-intensive products, so I'm really interested to hear what type of real-time analytics architectures he's had experience with that employ MongoDB Change Streams.

MongoDB 40
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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

System Modernization and Optimization The only constant in data engineering is change. This applies especially to your data architecture. Luckily, data observability can help with migrations, refactoring pipelines, and more. ” 36.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

System Modernization and Optimization The only constant in data engineering is change. This applies especially to your data architecture. Luckily, data observability can help with migrations, refactoring pipelines, and more. ” 36.