Matt Asay
InfoWorld
Salt Lake City, UT, United States
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Past articles by Matt:
2023 is all about analytics
Getting your data to tell you what you don’t know requires analytics. And analytics requires cloud. → Read More
Data democratization tips for your business
The data talent pool isn't keeping up with data project demand. With these tips, combat the shortage with business data democratization. → Read More
Data Center Migration: Best Practices for a Successful Migration
If your company is planning a large-scale data center migration, use this guide to plan for a successful move. → Read More
Data migration trends for 2023
Review the top data migration trends that could impact your organization in 2023 to ensure you're in the know. → Read More
What open source gets wrong with Mastodon
The open source alternative to Twitter is forgetting the customer experience in its rush to make a political statement about decentralization. → Read More
Don’t buy the cloud repatriation claptrap
Some big names are pushing to bring workloads back from the cloud, but a lot more voices say stay, especially now. → Read More
Microsoft-ing your way through a recession
The tech giant offers a model for tight times, and Matt has some advice for rightsizing your headcount. → Read More
Fix Tech Staffing With Rightsizing, Not Layoffs
While tech companies try to cut costs with layoffs, they’re still hiring. Analysts say reorganizing tech roles through rightsizing will put resources in underserved areas. → Read More
Some rain in the AWS, Azure, and Google clouds
With recession at the gates and cloud growth slowing, the big three cloud vendors still find ways to succeed. → Read More
Taming troubleshooting at the cloud-native 'connectivity layer'
Diagnosing the health of connections between modern API-driven applications is a beast. Isovalent and Grafana Labs are working to give platform teams simpler options. → Read More
A cheat sheet to the best practices for data preparation for machine learning
Check out these best practices that are designed to help your data preparation initiatives in machine learning. → Read More
A guide to the 10 most common data modeling mistakes
Data models are used to represent real-world entities, but often have limitations. Avoid common data modeling mistakes for data integrity. → Read More
How open source is disrupting video and making it friendlier for developers
After decades of proprietary stovepipes and back-end video infrastructure, a new open source abstraction from Mux may liberate developers. → Read More
Helpful strategies for improving data quality in data lakes
Lots of disparate data can yield rich information, or data chaos. Use these tips to improve data quality as your data lake grows. → Read More
The cloud has a people problem
Cloud skills are complicated and in high demand. Smart enterprises need a practical approach to the staffing shortage, and smart employees need multicloud skills. → Read More
Benefits of working with open source data quality solutions
From verifying quality of incoming data to improving existing data quality, open-source data quality solutions can benefit your organization. → Read More
Google kicks up ‘openness’ a notch
A series of smart decisions to create an open cloud ecosystem has moved the cloud giant into a position of power. But turning that openness into sustainable advantage won’t be easy. → Read More
How Oso’s security-as-code approach to authorization might change how you think about security
Most developers aren’t particularly good at building authorization into their applications, but would they trust a third-party provider like Oso? → Read More
Tips for effective data preparation
Data preparation is an important step in any data analysis. This article offers suggestions for making that process easier and more effective. → Read More
Mozilla is looking for a scapegoat
The declining browser’s problem isn’t anti-competitive practices, it’s competition itself. → Read More