Paige Roberts – Medium

Paige Roberts

When Linear Scaling is Too Slow — Build for fast hardware.

How does high performance data processing software get performance at petabyte scale? To exceed spinning disk hardware limitations, use …

3 min readFeb 9, 2024

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Agenda slide: 1. What is the worst strategy to get performance at scale? 2. Useful strategies for achieving high performance at extreme scale. 3. A practical example of these strategies in use. 4. Takeaways, next steps, and Q and A.

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Paige Roberts

When Linear Scaling is Too Slow — Compress your data.

Software architecture strategies for great performance at petabyte scale — Is reverse linear scaling possible? With this strategy, you can…

7 min readFeb 8, 2024

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Agenda slide: 1. What is the worst strategy to get performance at scale? 2. Useful strategies for achieving high performance at extreme scale. 3. A practical example of these strategies in use. 4. Takeaways, next steps, and Q and A.

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Paige Roberts

When Linear Scaling is Too Slow — Share nothing.

How do you design for data processing performance at extreme scale? Start with a foundation for true linear scaling first …

3 min readFeb 7, 2024

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Agenda slide: 1. What is the worst strategy to get performance at scale? 2. Useful strategies for achieving high performance at extreme scale. 3. A practical example of these strategies in use. 4. Takeaways, next steps, and Q and A.

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Paige Roberts

When Linear Scaling is Too Slow — Isolate your workloads.

How do you design for data processing performance at extreme scale? One good strategy is isolating your workloads. Here’s how and why …

6 min readFeb 6, 2024

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Agenda image with 1. What is the worst strategy to get performance at scale? 2. Useful strategies for achieving high performance at extreme scale. 3. A practical example of these strategies in use. 4. Takeaways, Next Steps, and Q and A.

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Paige Roberts

When Linear Scaling is Too Slow — The last strategy you should use.

How do you design for data processing performance at extreme scale? What is the one strategy you shouldn’t use first?

4 min readFeb 5, 2024

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Agenda image with 1. What is the worst strategy to get performance at scale? 2. Useful strategies for achieving high performance at extreme scale. 3. A practical example of these strategies in use. 4. Takeaways, Next Steps, and Q and A.

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Paige Roberts

Save the Planet with Better Software — Vertica Analytics for ESG

Climate change fears and concern for the environment have escalated in recent years, making Earth Day even more of an important holiday. I…

5 min readApr 21, 2023

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blue butterfly in a glass globe held on fingertips in a forest

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Paige Roberts

Why Can’t We Have AI-Driven Database Design?

One of the most time-consuming, expensive, expertise-intensive aspects of getting a new analytics database up and running is data modeling…

11 min readFeb 21, 2023

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Two mountain climbers at a mountain’s peak all alone with the sun shining on them.

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Paige Roberts

Saving Just One Monarch Butterfly

Much to my horror, and the horror of most of us, the monarch butterfly was put on the endangered species list this year. I live on 40 acres…

5 min readOct 30, 2022

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Close image of a monarch butterfly wings spread against a blue sky on a yellow daisy with a country background.

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Paige Roberts

New O’Reilly Book: Accelerate Machine Learning with a Unified Analytics Architecture

Putting an ML model into production should be as easy as putting a new visualization in a BI report. Data architecture is key …

4 min readFeb 16, 2022

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New O’Reilly Book: Accelerate Machine Learning with a Unified Analytics Architecture

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Paige Roberts

It’s a Trap! — Cloud Financial Incentive for Badly Optimized Analytics Software

The more compute most cloud software uses, the more money they make. That’s not to the advantage of the customer … not even a little bit.

5 min readOct 15, 2021

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It’s a Trap! — Cloud Financial Incentive for Badly Optimized Analytics Software

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Paige Roberts

Paige Roberts

27 yrs in data mgmt: engineer, trainer, PM, PMM, consultant. Co-Author of O’Reilly’s : "Accelerate Machine Learning" “97 Things Every Data Engineer Should Know”

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