February 2023 Summaries

The number of Python developers increased significantly between 2017 and Q1 2021, with a notable growth in Q4 2021 and Q1 2022, making it the most popular programming language. This new group of Python practitioners uses Python for data-related tasks but lacks the tooling they expect from modern organizations. To serve this growing market, a company aims to provide a "Pythonic" way of working with data, allowing users to write source and load it without a significant learning curve. The goal is to make data loading autonomous in organizations with 150 employees or less, while also appealing to data engineers who will be integral in evolving the platform.

The dltHub Mission` aims to empower the next generation of Python users to create and use data in their organizations autonomously by building an open-source Python library called `dlt`. The ultimate goal is to make data loading a commodity, enabling hundreds of thousands of pipelines to be created, shared, and deployed. By addressing the needs of both Python practitioners and data engineers with a minimal Python library, dltHub aims to become the GitHub for data pipelines, facilitating a vibrant ecosystem of pipeline creators and maintainers. The current state of traditional ETL/ELT tools is inadequate, as they either cater too much to SaaS solutions or object-oriented frameworks that don't meet the needs of Python practitioners who are increasingly entering organizations every year.