The purpose of this repo is to develop a data pipeline using Databricks. The primary goal is to create an efficient and functional pipeline that includes at least one data source and one data sink.

In this way, even business users or operation team can modify the data pipeline without the need of a developer. This is the medallion architecture introduced by Databricks. And it shows a data ...

At the Databricks Data + AI Summit this week the company expanded ... including expanded data governance and machine learning pipeline functionality – that boost analytic workload performance.

This enables customers to easily build data pipeline flows in Databricks by leveraging Informatica’s powerful no-code/low-code SQL ELT capabilities. Late last year, Informatica announced a GenAI ...

(Reuters) - Databricks said on Wednesday Meta Platforms had joined as an investor in a $10 billion funding round intended to ...

Meta rarely invests in startups, but it works with Databricks on the Llama open-source models that Meta trains.

Google Cloud, Microsoft, Cube and Posit were among the most innovative vendors at Databricks Data+AI Summit 2024. Tech giants, startups and one company a Databricks co-founder dubbed “the ...

Cloud-based data warehouse platform Snowflake (SNOW) is in talks to acquire streaming data analytics startup Redpanda, according to The ...