The raw CIA World Factbook changed format at least 10 times between 1990 and 2025. Every script in etl/ exists because a previous version of the parser broke on a new year's data. The pipeline handles ...
In 2024, the elephant in the room was how generative artificial intelligence seized the conversation. In 2025, the dialog shifted to agents and the question of whether there’s an AI bubble happening ...
ETL Migration Agent is a Model Context Protocol (MCP) server that extends GitHub Copilot with specialized tools for migrating legacy ETL code to Python. It provides a suite of AI-powered tools that ...
Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...
Databricks, AWS and Google Cloud are among the top ETL tools for seamless data integration, featuring AI, real-time processing and visual mapping to enhance business intelligence. Extract, transform ...
Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...
Microsoft offers an array of options for data analytics in its cloud that are meant to operate together as a full analytics stack. Here is an overview of the core services and where each fits. If you ...
Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...
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