You probably understand just how painful data copying between DataFrames and DataFrames from the JVM can be when working with PySpark and other libraries such as DataFrames from Apache Pandas. This ...

Abstract: The goal of this project is to demostrate the use of PySpark and Spark SQL to query and analyze the Yelp Open Dataset. Specifically, the aim is to analyze the Yelp Reviews dataset, which ...

SQL Server Big Data Clusters (BDC) is a capability brought to market as part of the SQL Server 2019 release. Big Data Clusters extends SQL Server’s analytical capabilities beyond in-database ...

SQL Server Big Data Clusters (BDC) is a new capability brought to market as part of the SQL Server 2019 release. BDC extends SQL Server’s analytical capabilities beyond in-database processing of ...

PySpark development is now fully supported in Visual Studio Code. Through an extension built for the aforementioned purpose, users can run Spark jobs with SQL Server 2019 Big Data Clusters. Last week, ...

In this repo, I try to use Spark (PySpark) to look into a downloading log file in .CSV format. This repo can be considered as an introduction to the very basic functions of Spark. It may be helpful ...

The repo is to supplement the youtube video on PySpark for Glue. It includes a cloudformation template which creates the s3 bucket, glue tables, IAM roles, and csv data files. Below are the schemas ...