The name of Databricks' annual conference has gone from "Spark Summit" to "Spark + AI Summit" and now to "Data + AI Summit." The evolution of the event name tracks Databricks' own transition from the ...

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, the Data and AI company and pioneer of the data lakehouse paradigm, is releasing Delta Live Tables (DLT), an ETL framework that uses a simple declarative approach to build reliable data ...

A GitHub project now offers an Azure Databricks medallion architecture pipeline built with PySpark, Python, and SQL. It processes e-commerce data through Bronze, Silver, and Gold layers, adding ...

Jenkins provides two different syntaxes for pipelines. When DevOps engineers write a Jenkins pipeline, they can choose between declarative and scripted. The differences between the two are both subtle ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

ETL framework is the first to both automatically manage infrastructure and bring modern software engineering practices to data engineering, allowing data engineers and analysts to focus on ...

Databricks has unveiled a new extract, transform, load (ETL) framework, dubbed Delta Live Tables, which is now generally available across the Microsoft Azure, AWS and Google Cloud platforms. According ...