This is a self-documentation of learning distributed data storage, parallel processing, and Linux OS using Apache Hadoop, Apache Spark and Raspbian OS. In this project, 3-node cluster will be setup using Raspberry Pi 4, install HDFS and run Spark processing jobs via YARN.

A distributed application to identify top 50 taxi pickup locations in New York by analyzing over 1 billion records using apache spark, hadoop file system and scala.

I'll walk you through launching a cluster manually using Spark standalone deploy mode, as well as connecting an app to the cluster, launching the app, where to view the monitoring and logging.

spark_job_interface_service

A Hadoop and Spark Cluster on Docker

👷🌇 Set up and build a big data processing pipeline with Apache Spark, 📦 AWS services (S3, EMR, EC2, IAM, VPC, Redshift) Terraform to setup the infrastructure and Integration Airflow to automate workflows🥊

Spark submit extension from bde2020/spark-submit for Scala with SBT

KMeans, Cure and Canpoy algorithms are demonstrated using Pyspark.

Start clusters in virtualbox VMs

To facilitate the initial setup of Apache Spark, this repository provides a beginner-friendly, step-by-step guide on setting up a master node and two worker nodes.

Deep dive into Spark UDFs' characteristics.

In this project, we used both Hadoop / MapReduce and Spark to do distributed computing. The first task was to perform a series of operations using a Mapper and Reduce java file that was implemented on a Hadoop server. The second task was to perform similar operations, but on Spark instead.

This is my contribution in the project Diastema

In this study, we propose to use a distributed storage and computation system in order to track money transfers instantly. In particular, we keep our transaction history in a distributed file system as a graph data structure. We try to detect illegal activities by using Graph Neural Networks (GNN) in distributed manner.

Steps to deploy a local spark cluster w/ Docker. Bonus: a ready-to-use notebook for model prediction on Pyspark using spark.ml Pipeline() on a well known dataset

A spark cluster containing multiple spark masters based on docker-compose.

Spark standalone architecture, local architecture and reading hadoop file formats i.e. avro, parquet and ORC

docker spark standalone

Script to run and find similarities between movies from a movie lens data set using Python & Spark Clustering.