Interactive and Reactive Data Science using Scala and Spark.

Notes about Spark Streaming in Apache Spark

Pyspark Notebook With Docker

An image for running Jupyter notebooks and Apache Spark in the cloud on OpenShift

JupyterLab extension that enables monitoring launched Apache Spark jobs from within a notebook

Ansible roles to install an Spark Standalone cluster (HDFS/Spark/Jupyter Notebook) or Ambari based Spark cluster

Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark

Tutorial for exploring FHIR data with Apache Spark in an interactive notebook

Includes notes on using Apache Spark in general, notes on using Spark for Physics, how to run TPCDS on PySpark, how to create histograms with Spark, tools for performance testing CPUs, Jupyter notebooks examples for Spark, examples for Oracle and other DB systems.

Implementation of Spark code in Jupyter notebook. Topics include: RDDs and DataFrame, exploratory data analysis (EDA), handling multiple DataFrames, visualization, Machine Learning

Zeppelin notebook online

PySpark notebooks to learn Apache Spark (WIP)

One Click deployment of Notebooks - Bringing Notebooks to Production

Notebook image and notebook for feature reduction talk

PySpark Tutorial for Beginners - Practical Examples in Jupyter Notebook with Spark version 3.4.1. The tutorial covers various topics like Spark Introduction, Spark Installation, Spark RDD Transformations and Actions, Spark DataFrame, Spark SQL, and more. It is completely free on YouTube and is beginner-friendly without any prerequisites.

Notebook de las clases de 75-06 Organización de Datos - FIUBA

Reusable Python classes that extend open source PySpark capabilities. Examples of implementation is available under notebooks of repo https://github.com/bennyaustin/synapse-dataplatform

The implementation of Apache Spark (combine with PySpark, Jupyter Notebook) on top of Hadoop cluster using Docker

Gallery of Apache Zeppelin notebooks using Enth-Spark-AI.

An image for running Scala Jupyter notebooks and Apache Spark in the cloud on OpenShift