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 ...

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 launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...

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 ...

We’re encountering issues with Databricks SQL when attempting to update a row that contains a large JSON array field. Originally, we tried inserting the entire JSON directly into the column, but this ...

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 ...