Search Results for "t-sql"

...The library abstracts efficient patterns like partitioning, compression, and vectorized I/O so you get performant data lake operations without hand-rolling boilerplate. It also supports Redshift, OpenSearch, and other services, enabling ETL tasks that blend SQL engines and Python transformations. Operational helpers handle IAM, sessions, and concurrency while exposing knobs for encryption, versioning, and catalog consistency. The result is a productive workflow that keeps your analytics in Python while leveraging AWS-native storage and query engines at scale.

...It provides a modular agent framework where each agent focuses on a step in the typical data science pipeline — for example, loading data from CSV/Excel files, cleaning and wrangling messy datasets, engineering predictive features, building models with AutoML, connecting to SQL databases, and producing visual outputs — all driven by natural language or programmatic instructions. The project includes ready-to-use applications that showcase these agents in action, such as an exploratory data analysis copilot that generates reports, a pandas data analyst that combines wrangling and plotting, and SQL database agents that can query business databases and output results directly.

Adele was developed to simplify the daily work with data. Use it as a swiss knife to fill the gap between your work with spreadsheet application like MS Excel and enterprise servers like SAP ERP. Specialized tools like Rapid Miner, KNIME or similiary stuff should not be replaced. But Adele is designed for business people working with spreadsheet applications to analyse their data. There are many technical concepts in an easier way included. For example realtime OLAP, transformations,...