GitHub / subhanjandas / Worldwide-Sales-Data-Analysis-and-Exploration-using-Zeppelin-HDFS-and-Spark
This project aimed to analyze and understand worldwide sales data through the use of Zeppelin and HDFS. The primary objective was to utilize Spark's basic Scala commands and SQL to query and manipulate the data, providing valuable insights and findings for the customer.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/subhanjandas%2FWorldwide-Sales-Data-Analysis-and-Exploration-using-Zeppelin-HDFS-and-Spark
PURL: pkg:github/subhanjandas/Worldwide-Sales-Data-Analysis-and-Exploration-using-Zeppelin-HDFS-and-Spark
Stars: 0
Forks: 1
Open issues: 0
License: None
Language: Python
Size: 1.29 MB
Dependencies parsed at: Pending
Created at: over 2 years ago
Updated at: 11 months ago
Pushed at: 11 months ago
Last synced at: 2 days ago
Topics: hdfs, spark, spark-sql, zeppelin