Code for "Efficient Data Processing in Spark" Course
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Updated
Oct 1, 2024 - Python
Code for "Efficient Data Processing in Spark" Course
Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.
Pyspark Notebook With Docker
The project aims to process Formula 1 racing data, create an automated data pipeline, and make the data available for presentation and analysis purposes.
Tabela calendário para lakehouse Fabric a partir do notebook spark
Continuous Delivery tool for PySpark Notebooks based jobs on Databricks
Loading different types of dataset files using Flume and pyspark
A simulated Kafka data pipeline that generates fake customer and order data, processes it through Kafka, and stores it in PostgreSQL for real-time analysis with PySpark. Includes Kafdrop UI for monitoring. 🚀
An anime recommendation engine that allows us to recommend anime based on a given anime title or a given user using Pyspark
Pyspark RDD, DataFrame and Dataset Examples in Python language
AEMO Aggregated price and demand data
This repo is for the Structured Streaming and Projects
A simple tool to compare new data to historical records. It will tag rows accordingly as duplicate or NULL. The team of interns I was in designed this tool using PySpark and Jupyter Notebook in Microsoft Fabric as a practice exercise within Lexmark Research and Development Corporation's Digital Transformation program.
Automate Amazon EMR clusters using Lambda for streamlined and scalable data processing workflows. Unlock the full potential of your data pipeline with LambdaEMR Automator.
Scaling sentiment analysis with AWS Glue and Amazon Comprehend.
spark247-jupyter-dockerized
This repo is built to learn and practice databricks and PySpark. This is the practice repo for databricks Data Engineering Associate Certification
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