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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 167
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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 164
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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. Application programming interfaces.

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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. The new funding will be used to add more no-code capabilities.

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Are you ready for MLOps? 🫵

Xebia

These days Data Science is not anymore a new domain by any means. The time when Hardvard Business Review posted the Data Scientist to be the “Sexiest Job of the 21st Century” is more than a decade ago [1]. In 2019 alone the Data Scientist job postings on Indeed rose by 256% [2]. Why is that?

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When is data too clean to be useful for enterprise AI?

CIO

For many organizations, preparing their data for AI is the first time they’ve looked at data in a cross-cutting way that shows the discrepancies between systems, says Eren Yahav, co-founder and CTO of AI coding assistant Tabnine. Not cleaning your data enough causes obvious problems, but context is key.

Data 211
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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.