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.

spark_job_interface_service

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

KMeans, Cure and Canpoy algorithms are demonstrated using Pyspark.

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🥊

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

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.

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

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.

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

docker spark standalone

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

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