Spark Notebook

Interactive and Reactive Data Science using Scala and Spark.

Code Quality Rank: L1

Programming language: JavaScript

License: Apache License 2.0

Tags: Science And Data Analysis    

Latest version: v0.8.3

README

Spark Notebook

The Spark Notebook is the open source notebook aimed at enterprise environments, providing Data Scientists and Data Engineers with an interactive web-based editor that can combine Scala code, SQL queries, Markup and JavaScript in a collaborative manner to explore, analyse and learn from massive data sets.

[notebook intro](./docs/images/geo-airports.png)

The Spark Notebook allows performing reproducible analysis with Scala, Apache Spark and the Big Data ecosystem.

Features Highlights

[Apache Spark](./docs/images/spark-logo-192x100px.png)

Apache Spark is available out of the box, and is simply accessed by the variable sparkContext or sc.

Multiple Spark Context Support

One of the top most useful feature brought by the Spark Notebook is its separation of the running notebooks. Each started notebook will spawn a new JVM with its own SparkSession instance. This allows a maximal flexibility for:

• dependencies without clashes
• access different clusters
• tune differently each notebook
• external scheduling (on the roadmap)

Metadata-driven configuration

We achieve maximum flexibility with the availability of multiple sparkContexts by enabling [metadata driven](./docs/metadata.md) configuration.

Scala

The Spark Notebook supports exclusively the Scala programming language, the Unpredicted Lingua Franca for Data Science and extensibly exploits the JVM ecosystem of libraries to drive an smooth evolution of data-driven software from exploration to production.

The Spark Notebook is available for *NIX and Windows systems in easy to use ZIP/TAR, Docker and DEB packages.

Reactive

All components in the Spark Notebook are dynamic and reactive.

The Spark Notebook comes with dynamic charts and most (if not all) components can be listened for and can react to events. This is very helpful in many cases, for example:

• data entering the system live at runtime
• visually plots of events
• multiple interconnected visual components Dynamic and reactive components mean that you don't have write the html, js, server code just for basic use cases.

Quick Start

Go to [Quick Start](./docs/quick_start.md) for our 5-minutes guide to get up and running with the Spark Notebook.

C'mon on to Gitter to discuss things, to get some help, or to start contributing!

Learn more

• [Explore the Spark Notebook](./docs/exploring_notebook.md)
• [HTML Widgets](./docs/widgets_html.md)
• [Visualization Widgets](./docs/widgets_viz.md)
• [Notebook Browser](./docs/notebook_browser.md)
• Configuration
  • [Notebook Configuration and Metadata](./docs/metadata.md)
  • [Using Cluster Configurations](./docs/using_cluster_tab.md)
  • [Versioned notebook storage with Git(hub)](./modules/git-notebook-provider/README.md)
• [Running on Clusters and Clouds](./docs/clusters_clouds.md)
• [Community](./docs/community.md)
• Advanced Topics
  • [Using Releases](./docs/using_releases.md)
  • [Building from Sources](./docs/build_from_source.md)
  • [Creating Specific Distributions](./docs/build_specific_distros.md)
  • [Creating your own custom visualizations](./docs/custom_charts.md)
  • [User Authentication](./docs/authentication.md)
    • Supports: Basic, Form & Kerberos auth, and many more via pac4j (OAuth, OpendID, ...)
    • Passing the logged in user to Secure Hadoop+YARN clusters via the [proxy-user impersonation](./docs/proxyuser_impersonation.md)
• Advanced: How to Develop/improve spark-notebook
  • [Overview of Project structure](./docs/code_structure.md)

Testimonials

Skymind - Deeplearning4j

Spark Notebook gives us a clean, useful way to mix code and prose when we demo and explain our tech to customers. The Spark ecosystem needed this.

Vinted.com

It allows our analysts and developers (15+ users) to run ad-hoc queries, to perform complex data analysis and data visualisations, prototype machine learning pipelines. In addition, we use it to power our BI dashboards.

Adopters

Name	Logo	URL	Description
Kensu		website	Lifting Data Science to the Enterprise level
Agile Lab		website	The only Italian Spark Certified systems integrator
CloudPhysics		website	Data-Driven Inisghts for Smarter IT
Aliyun		product	Spark runtime environment on ECS and management tool of Spark Cluster running on Aliyun ECS
EMBL European Bioinformatics Institute		website	EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academia and industry.
Metail		website	The best body shape and garment fit company in the world. To create and empower everyone’s online body identity.
kt NexR		website	the kt NexR is one of the leading BigData company in the Korea from 2007.
Skymind		website	At Skymind, we’re tackling some of the most advanced problems in data analysis and machine intelligence. We offer start-of-the-art, flexible, scalable deep learning for industry.
Amino		website	A new way to get the facts about your health care choices.
Vinted		website	Online marketplace and a social network focused on young women’s lifestyle.
Vingle		website	Vingle is the community where you can meet someone like you.
47 Degrees		website	47 Degrees is a global consulting firm and certified Typesafe & Databricks Partner specializing in Scala & Spark.
Barclays		website	Barclays is a British multinational banking and financial services company headquartered in London.
Swisscom		website	Swisscom is the leading mobile service provider in Switzerland.
Knoldus		website	Knoldus is a global consulting firm and certified "Select" Lightbend & Databricks Partner specializing in Scala & Spark ecosystem.