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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

I believe that the fundamental design principles behind these systems, being siloed, batch-focused, schema-rigid and often proprietary, are inherently misaligned with the demands of our modern, agile, data-centric and AI-enabled insurance industry. data lake for exploration, data warehouse for BI, separate ML platforms).

Insurance 164
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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. However, the biggest challenge for most organizations in adopting Operational AI is outdated or inadequate data infrastructure. To succeed, Operational AI requires a modern data architecture.

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Comprehensive data management for AI: The next-gen data management engine that will drive AI to new heights

CIO

All industries and modern applications are undergoing rapid transformation powered by advances in accelerated computing, deep learning, and artificial intelligence. The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. Imagine that you’re a data engineer.

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Why thinking like a tech company is essential for your business’s survival

CIO

A great example of this is the semiconductor industry. They dont just react to change; they engineer it. But were still in the early days of figuring out what it really means for our industry. They ask: Where do we need to be in five or 10 years?

Company 186
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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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What is Data Engineering: Explaining Data Pipeline, Data Warehouse, and Data Engineer Role

Altexsoft

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

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What does the new era of location intelligence hold for businesses?

TechCrunch

Advances in cloud-based location service are ushering in a new era of location intelligence by helping data engineers, analysts, and developers integrate location data into their existing infrastructure, build data pipelines, and reap insights more efficiently.