AWS ETL Data Pipeline for YouTube Analytics A comprehensive solution for building an end-to-end ETL (Extract, Transform, Load) data pipeline using AWS services to analyze YouTube data for data-driven ...

What is this book about? Modern extract, transform, and load (ETL) pipelines for data engineering have favored the Python language for its broad range of uses and a large assortment of tools, ...

Notably, the new Lakeflow Declarative Pipelines capabilities allow data engineers to build end-to-end production pipelines in SQL or Python without having to manage infrastructure.

How Gencore AI enables the construction of production-ready generative AI pipelines using any data system, vector database, AI model, and prompt endpoint.

The second part is LakeFlow Pipelines, which is essentially a version of Databricks’ existing Delta Live Tables framework for implementing data transformation and ETL in either SQL or Python.

Prophecy today launched a new version of its core platform to provide enterprises with low-code SQL capabilities for building data pipelines.

The Philippines will need approximately $1.09 billion worth of capital to build data centers in the pipeline for the coming five to seven years, according to Cushman & Wakefield.