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 ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

This project analyzes the MovieLens 20M dataset using PySpark, with interactive visualizations provided by Streamlit. Additionally, a Kaggle notebook offers more insights into the analysis.

Abstract: Insurance Company working as commercial enterprise from last few years have been experiencing fraud cases for all type of claims. Amount claimed by fraudulent is significantly huge that may ...

Databricks, the data and AI company, announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads previously meant only for a data warehouse on a data ...