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

CIO

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Operational errors because of manual management of data platforms can be extremely costly in the long run.

Data 167
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From legacy to lakehouse: Centralizing insurance data with Delta Lake

CIO

Features like time-travel allow you to review historical data for audits or compliance. Streamline processing: Build a system that supports both real-time updates and batch processing , ensuring smooth, agile operations across policy updates, claims and analytics.

Insurance 158
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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Their pay scales often dont afford top technical talent and often dont have technical leadership that can accurately and adequately vet the people theyre interviewing, he says.

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How FiveStars re-engineered its data engineering stack

CIO

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”

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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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5 tips for excelling at self-service analytics

CIO

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 205
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4 ways to build a team equipped with emerging skills

CIO

And to ensure a strong bench of leaders, Neudesic makes a conscious effort to identify high performers and give them hands-on leadership training through coaching and by exposing them to cross-functional teams and projects. The new team needs data engineers and scientists, and will look outside the company to hire them.