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The future of data: A 5-pillar approach to modern data management

CIO

This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs. By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices.

Data 165
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The key to operational AI: Modern data architecture

CIO

The team should be structured similarly to traditional IT or data engineering teams. Technology: The workloads a system supports when training models differ from those in the implementation phase. However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure.

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Fundamentals of Data Engineering

Xebia

The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.

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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Many still rely on legacy platforms , such as on-premises warehouses or siloed data systems. Maintaining legacy systems can consume a substantial share of IT budgets up to 70% according to some analyses diverting resources that could otherwise be invested in innovation and digital transformation.

Insurance 163
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Analytics operating system Redbird makes data more accessible to non-technical users

TechCrunch

Data engineers have a big problem. Almost every team in their business needs access to analytics and other information that can be gleaned from their data warehouses, but only a few have technical backgrounds. ” Tracking venture capital data to pinpoint the next US startup hot spots.

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What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. An organizations data architecture is the purview of data architects. Data streaming. Seamless data integration.

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Why a data scientist is not a data engineer

O'Reilly Media - Ideas

Or, why science and engineering are still different disciplines. "A He would have to ask an engineer to do it for him.". A few months ago, I wrote about the differences between data engineers and data scientists. That was interesting because the data engineers didn’t push back saying they’re data scientists.