ODSC - Open Data Science

SEPTEMBER 27, 2023

Data Warehouses Some key characteristics of data warehouses are as follows: Data Type: Data warehouses primarily store structured data that has undergone ETL (Extract, Transform, Load) processing to conform to a specific schema. Schema Enforcement: Data warehouses use a “schema-on-write” approach.

Big Data 98

Big Data Metadata ETL Data Science 98

AWS Machine Learning Blog

MARCH 5, 2025

The examples focus on questions on chunk-wise business knowledge while ignoring irrelevant metadata that might be contained in a chunk. About the authors Samantha Stuart is a Data Scientist with AWS Professional Services, and has delivered for customers across generative AI, MLOps, and ETL engagements.

Generative AI 76

Generative AI LLM AI AI 76

The MLOps Blog

JANUARY 23, 2023

Data version control in machine learning vs conventional software engineering Data version control in machine learning and conventional software engineering have some similarities, but there are also some key differences to consider. This is where data versioning comes in. neptune.ai size: Size of the file, in kilobytes.

ML 52

ML Machine Learning Metadata Data Scientist 52

The MLOps Blog

AUGUST 3, 2023

Stefan is a software engineer, data scientist, and has been doing work as an ML engineer. At a high level, we are trying to make machine learning initiatives more human capital efficient by enabling teams to more easily get to production and maintain their model pipelines, ETLs, or workflows.

ML 52

ML Data Scientist Software Engineer Machine Learning 52

AWS Machine Learning Blog

APRIL 16, 2024

You can use these connections for both source and target data, and even reuse the same connection across multiple crawlers or extract, transform, and load (ETL) jobs. Text to SQL: Using natural language to enhance query authoring SQL is a complex language that requires an understanding of databases, tables, syntaxes, and metadata.

Data Scientist 117

Data Scientist Generative AI Machine Learning Auto-complete 117

Flipboard

NOVEMBER 24, 2023

By analyzing millions of metadata elements and data flows, Iris could make intelligent suggestions to users, democratizing data integration and allowing even those without a deep technical background to create complex workflows. We use the following prompt: Human: Your job is to act as an expert on ETL pipelines.

ETL 156

ETL Prompt Engineering Prompt Engineer Generative AI 156