Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

import os os.environ['PYSPARK_PYTHON'] = r'C:\Python\python.exe' from pyspark.sql import SparkSession spark = SparkSession.builder \ .master("local[*]") \ .appName ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...

Databricks Inc. today introduced a new serverless database called Lakebase that can process more than 10,000 queries per second. The service is based on PostgreSQL, a popular open-source relational ...

Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...

Add a description, image, and links to the pyspark-python topic page so that developers can more easily learn about it.

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

Cloud Big Data analytics, AI/ML expert. Venkata Ram Anjaneya Prasad Gadiyaram(aka Ram Ghadiyaram) is a seasoned Cloud Big Data analytics, AI/ML , mentor, and innovator ...