
Prospecting Ideas Using Data Modeling
Data modeling can support sales in B2B and B2C by finding high-value prospects and predicting customer behavior. The key data science techniques explained.
Dawid Kamrowski

Data modeling can support sales in B2B and B2C by finding high-value prospects and predicting customer behavior. The key data science techniques explained.
Dawid Kamrowski
Choosing between SQL and NoSQL? Compare relational and non-relational databases and see which type fits the software you plan to build.
Pawel Jedrzejewicz
Stateful vs stateless architecture compared, with the pros and cons of each approach to help you pick the right one for your business application.
Tomasz Stachera
Explore stream vs batch processing, their benefits, use cases, and technologies. Learn how to choose the right data strategy for your business needs.

Private, public, hybrid or community cloud? Compare the four cloud types and their pros and cons, then pick the cloud services that fit your company.

Big data analytics turns large, fast, varied datasets into decisions. See how it works, the four analytics types, common tools, and real business use cases.

Data science for retail companies: price optimization, personalized recommendations, inventory management and sentiment analysis, plus common challenges.


What is Google Cloud Platform (GCP), what it is used for, and when your business needs it: core services, benefits, and how to decide.
Internet of Things analytics explained: why IoT data matters for business and the best ways to collect, process and analyze data from connected devices.
Data conversion moves business data into formats ready for analytics and integration. The process, common challenges and good practices to follow.

Data workflow automation explained: what a workflow is, how data moves through processing steps, and practical ways to automate your data workflows.
Marcin Miazga