Big Data Analytics project, Hadoop, Spark, Pyspark, HDFS, MongoDb.
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Updated
Feb 28, 2023 - Jupyter Notebook
Big Data Analytics project, Hadoop, Spark, Pyspark, HDFS, MongoDb.
company tomake appropriate business strategies to enhance their revenue by analyzing customers behaviors and send offers and royalties to customers respectively
Big data training material
Performed Big Data Analysis on Bundesliga Football League Dataset using tools PySpark, spark-SQL, and numpy and done in Jupyter Notebook.
Made machine learning on big data course
parser for XML files using pyspark
By using Hadoop, Spark, Hive, and the S3 filesystem to analyze the Google Ngrams dataset, this project aims to apply the skills and knowledge of the Big Data Fundamentals unit to load, filter, and visualize a large real-world dataset in a cloud-based distributed computing environment.
Series of popular classification algorithms using the map-reduce paradigm
Dionysios Diamantopoulos Web Edition
Visulaize hundreds of US census variables using cartograms and D3.js including a natural language query interface
Introduction to Big Data with practical use-cases (Meetup Talk)
PureLogic for TypeScript
Infomedia Vandana Yellow Pages
Stream Commandr Engine
Simple service for bigquery streaming using google pub-sub
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