Spark Application for analysis of Apache Access logs and detect anamolies! Along with Medium Article.
ORM for Apache Spark and DataFrames schema manager
A lightweight pipeline using PySpark for Data migration and Analytics on Snowflake.
Convert schemas between different definitions, such as JSON Schema, Spark DataTypes, SQL type strings, and more.
This data project can be used as a take-home assignment to learn Pyspark and Data Engineering.
This code demonstrates how to integrate PySpark with datasets and perform simple data transformations. It loads a sample dataset using PySpark's built-in functionalities or reads data from external sources and converts it into a PySpark DataFrame for distributed processing and manipulation.
Weather Data Analysis
Enterprise-grade Microsoft Fabric Lakehouse project implementing Medallion architecture (Bronze, Silver, Gold) for financial transactio
This is a template API via PySpark!
An interactive e-commerce analytics platform using Python, PySpark, and Flask to analyze customer purchasing behavior, calculate RFM scores, and identify actionable customer segments from uploaded datasets.
This Repo Demonstrate General Process to Automate Process in GCP Dataproc to Leverage Its Processing Power
ETL (Extract, Transform, Load) job using PySpark - submodule
PySpark Job that runs in Dataproc cluster, loads data from Cloud Storage to BigQuery table.
This project presents a comprehensive data pipeline designed to predict customer churn using historical customer data. By leveraging Hadoop and PySpark, this pipeline efficiently processes large datasets, performs feature engineering, and trains a machine learning model to identify customers at risk of leaving.
Production-grade real-time streaming pipeline: Yahoo Finance -> Kafka -> PySpark Structured Streaming -> BigQuery -> Power BI. Dockerized, with validation, DLQ, windowed aggregations, and observability.
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