SQL

Using artificial intelligence and machine learning in a product or database is traditionally difficult because it involves a lot of manual setup, specialized training, and a clear

Data science requires data sets to be cataloged and indexed. The data sets are versioned and might be in CSV files in S3, a database, or another data storage system. Splitgraph allows

Data analysts need to collaborate with each other in the same way that software engineers do. They also need a high quality development environment.  These data analysts are not working

A data warehouse serves the purpose of providing low latency queries for high volumes of data. A data warehouse is often part of a data pipeline, which moves data through different areas

Every company has a large number of routine data workflows. These data workflows involve spreadsheets, CSV files, and tedious manual work to be done by a knowledge worker.  For example,