How JetBrains uses .NET, Elasticsearch, CSVs, and Kibana for awesome dashboards

JetBrains' .NET advocacy team leveraged a data analysis project using the NECK stack—comprising .NET, Elasticsearch, CSV, and Kibana—to process and visualize data from the NuGet API, aiming to understand past trends and predict future ones in the open-source software community. They retrieved extensive data from NuGet, a key package management service for .NET, resulting in a massive 1.5 GB CSV file. Utilizing the CsvHelper library for processing and the NEST client for indexing, the team managed to handle the data despite challenges with memory usage and syntax errors in some rows. The processed data was indexed into Elasticsearch and visualized using Kibana, allowing the creation of meaningful dashboards to explore the dataset's insights. This endeavor highlighted the power of combining .NET tools with Elasticsearch and Kibana for scalable data processing and visualization, demonstrating the potential for discovering valuable insights from large datasets with the right technology stack.