Built on Databricks’ Delta Live Tables technology, the LakeFlow Pipelines enable users to implement data transformation and ETL in either Python or SQL. This feature also offers a low latency mode for ...

Databricks, the Data and AI company, today announced the launch of Databricks LakeFlow, a new solution that unifies and simplifies all aspects of data engineering, from data ingestion to ...

During its online Data + AI Summit conference, Databricks today unveiled Databricks Machine Learning, a platform that lets data science teams build AI models based on the AutoML framework.

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

Databricks, the Data and AI company, is introducing Databricks LakeFlow, a new solution that unifies and simplifies all aspects of data engineering-from data ingestion to transformation and ...

Databricks One offers a simple, code-free environment that lets teams—from marketing to legal—generate powerful AI-driven insights from secure corporate data.

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 is an innovative data analytics platform designed to simplify the process of building big data and artificial intelligence (AI) solutions. It was founded by the original creators of Apache ...

Today, the company promotes its data lakehouse architecture, which combines the scalability advantages of data lake storage (via object storage) with the data quality advantages of a traditional ...

/PRNewswire/ -- Databricks, the Data and AI company, today announced the launch of Databricks LakeFlow, a new solution that unifies and simplifies all aspects ...