A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

This project converts a 6,500-line SAS production system to the Databricks platform using PySpark SQL and Python. The conversion process includes: sas-convertor/ ├── src/ │ ├── sas_parser/ # SAS code ...

Still stuck in legacy warehouses? This pharma leader shows how a Databricks lakehouse can turn compliance hurdles into a growth engine. Over the course of several years designing and delivering ...

Hi there, I’m trying to implement SPJ joins, but they keep defaulting to sort-merge joins. Could you help me out? from pyspark.sql import SparkSession from pyspark.sql.functions import spark_partition ...

Medior Data Engineer - Databricks & Lakehouse Platform (Cloud) ...