Synthetic data represents a paradigm shift in healthcare because it allows data to transcend its potential shortcomings.

Explore how Sreenivasarao Amirineni leverages machine learning to enhance efficiency in the insurance sector, driving innovation and significant cost savings.

From creating and querying Iceberg tables to managing branches and snapshots with Nessie’s Git-like controls, you’ve seen how this stack can simplify complex da

Both events and entities have unique roles in data modeling, and understanding when to use each is crucial for building effective data platforms.

Find out when to implement Propensity Score Matching and how to use it with a detailed framework and its steps.

Pattern matching allows for more intuitive and readable conditional logic by enabling the matching of complex data structures with minimal code.

This review is about DuckDB in Action by JoMark Needham, Michael Hunger, and Michael Simons from Manning.

If we can answer what, where, when and how of data processing we can build a very robust stream processing pipeline using Apache Flink and Apache Beam.

Learn to set up a robust data lakehouse environment with Apache Iceberg, Dremio, and Nessie for scalable SQL operations.

Discover the 5 key trends shaping the future of data analytics—from synthetic data to NLP, data interoperability, data storytelling, and new data-centric roles.

How Maruti Techlabs developed a cutting-edge data analytics platform that optimized workforce management, reduced costs, and maximized productivity.

AI-powered data analytics revolutionizes digital marketing by enabling real-time insights, predictive analysis, and personalized strategies

Explore the top JavaScript pivot table and OLAP tools and their notable features for your applications in this review of leading options.

Binary classification is one of the most common machine learning tasks. In practice, the goal of such tasks often extends beyond simply predicting a class.