Roman Dimenko

Founder & CEO of Forrards, a global tech company & Microsoft Gold Partner. Certified Microsoft Azure Data Platform Consultant. #Azure #Microsoft #SQL

[Roman Dimenko @RomanDimenko]

You're an experienced Sales Manager and want to work in IT?
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[Roman Dimenko @RomanDimenko]

https://t.co/HwiRkIdy8V
A useful reminder of market data storage hidden pitfalls

[Roman Dimenko @RomanDimenko]

How to save on SOC2 compliance costs
https://t.co/T8wveNAFEz

[Roman Dimenko @RomanDimenko]

Is Your Fintech Ready for DORA in 2024?
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[Roman Dimenko @RomanDimenko]

6 Warning Signs Your MS SQL Server Needs Attention
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[Roman Dimenko @RomanDimenko]

Check out my latest article: Principles and Practical Recipes for Database and Cloud Performance and Cost Efficiency https://t.co/l4PDDNj2wT via @LinkedIn

[Roman Dimenko @RomanDimenko]

💸 Another cloud budget leak: Storing outdated data or on-prem backups in the cloud? Automate deletion to avoid creeping costs! 🚀 Need a script to clean up old files in Azure? DM me or drop a comment, and I'll share it! #Cloud #Azure #CostOptimization
https://t.co/uWXWf0I69l

[Roman Dimenko @RomanDimenko]

Exciting times at Microsoft Build! 🎉 New Surface tablets are as impressive as Apple’s. Sam Altman teased ChatGPT-5 and announced ChatGPT-4 is now available on Azure. Microsoft makes another powerful leap in the cloud race with Google. 🚀 #MicrosoftBuild #AI #CloudComputing

[Roman Dimenko @RomanDimenko]

https://t.co/hEKtRThNOd
Decrease Your Azure SQL Server Managed Instance Bill

If you're using a General Purpose SQL Server managed instance and don't need it available 24/7, read on...

[Roman Dimenko @RomanDimenko]

🛒📊 Larger SMBs & mid-sized corporates deal with unique issues from managing vast data volumes to ensuring real-time analytics. Solutions include scalable cloud tech, robust security, and fostering a data-driven culture. Dive deeper https://t.co/43929EAnPt #DataChallenges

[Roman Dimenko @RomanDimenko]

Comparing with Benchmark Models
Evaluating your model against a benchmark model provides a baseline, helping to gauge the improvements your model offers over established methods or standards.

[Roman Dimenko @RomanDimenko]

Validating data models for accuracy is essential for reliable analyses and decision-making. Employing a mix of methods enhances the robustness and reliability of your models. Here's how to validate your data models effectively:

[Roman Dimenko @RomanDimenko]

Sensitivity Analysis
Modifying input values slightly to observe changes in model predictions can help gauge the model's stability and the impact of different features, enhancing understanding of how sensitive the model is to variations in input data.