Content Tagged "data-engineering"

Learn how to design and implement a fully functional modern data stack with scalable, efficient, and secure data processing capabilities—all for just $10 a month. Discover how to leverage cloud-native tools, serverless architecture, and open-source technologies to optimize data ingestion, storage, transformation, and visualization, ensuring data quality, automation, and high performance for small to medium-scale projects. Perfect for personal projects or those looking for an affordable yet powerful data solution.

Explore how ServiceNow data was transformed using Databricks, AI, and LLMs to create a more customer-oriented approach for analyzing and categorizing support tickets.

Explore how AI was used to process multilingual customer survey data in this project. By leveraging AI for translation, NLP for categorization, Databricks for processing, and Power BI for visualization, this initiative transformed raw survey files into actionable insights.

Learn how AI, LLMs, and Mage AI were integrated into a fully automated hockey analytics pipeline. From Scrapy-based web scraping to DuckDB transformations and interactive dashboards, this project leverages cutting-edge technology for data processing and visualization.