ETL Metadata Software Engineer 
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.
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
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.
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.
Expert insights. Personalized for you.
98 
Let's personalize your content