Cloud backup services – how do you select the best option?
Explore top cloud backup solutions for businesses, their benefits, pricing, security features, and providers like Dropbox, IDrive, and NordLocker.
Pawel Jedrzejewicz
Data Science - Page 2
Machine Learning in Predictive Analytics: A Practical Guide
Machine learning in predictive analytics turns raw data into reliable forecasts. See how models anticipate demand, churn, and risk before they happen.
Declarative vs Scripted Pipeline – Key differences
Declarative vs scripted pipeline in Jenkins: compare syntax, flexibility, and use cases to pick the right approach for your CI/CD workflow.
Laura Kszczanowicz
E-commerce site search solutions – importance, types, suggestions
Shoppers who can't find products don't buy. See why e-commerce site search matters, which search types exist, and how to choose the right solution.
Pawel Jedrzejewicz
Expect great data with Great Expectations framework.
Great Expectations (GX) is an open-source framework for data quality testing. How to set it up, run checkpoints and profilers, and where it falls short.
From Data to Decision: How Advanced Analytics Can Improve Business Outcomes
How data science and advanced analytics turn raw data into better business decisions, with steps to build a data-driven strategy and the tools involved.
From Excel to Data Lake: The Evolution of Data Storage in a Modern Organization
Explore the shift from Excel to data lakes, modern storage solutions, and best practices for scalable, efficient, and innovative data management strategies.
Is it the time to adopt a modern data stack for your organization?
When should you move to a modern data stack? How cloud tools for storage, processing, and analytics replace legacy setups, and how to pick the right ones.
Lakehouse Federation in Databricks: A Practical Guide
Lakehouse Federation in Databricks: query external data sources without moving data. See how it works and when to use it in your data platform.
Modern business challenges – what are the security risks of cloud computing?
Cloud providers secure their platforms, but risks remain. The main security risks of cloud computing and the precautions to take with sensitive data.
Pawel Jedrzejewicz
Modern fraud detection – machine learning algorithms for your business security
Machine learning algorithms help companies spot and prevent fraud. How modern fraud detection works and how to use ML to protect your business resources.
Practical Tips for FMCG Companies Adopting MLOps. A Guide for Programmers
Practical MLOps tips for programmers at FMCG companies: start with pilot projects, invest in training, build team collaboration, and automate workflows.