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Spark Notebook

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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

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

Features Highlights

Apache Spark

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:

Metadata-driven configuration

We achieve maximum flexibility with the availability of multiple sparkContexts by enabling metadata driven 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:

Quick Start

Go to Quick Start 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

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

NameLogoURLDescription
KensuKensuwebsiteLifting Data Science to the Enterprise level
Agile LabAgile LabwebsiteThe only Italian Spark Certified systems integrator
CloudPhysicsCloudPhysicswebsiteData-Driven Inisghts for Smarter IT
AliyunAlibaba - Aliyun ECSproductSpark runtime environment on ECS and management tool of Spark Cluster running on Aliyun ECS
EMBL European Bioinformatics InstituteEMBL - EBIwebsiteEMBL-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.
MetailMetailwebsiteThe best body shape and garment fit company in the world. To create and empower everyone’s online body identity.
kt NexRkt NexRwebsitethe kt NexR is one of the leading BigData company in the Korea from 2007.
SkymindwebsiteAt 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.
AminowebsiteA new way to get the facts about your health care choices.
VintedVintedwebsiteOnline marketplace and a social network focused on young women’s lifestyle.
VingleVinglewebsiteVingle is the community where you can meet someone like you.
47 Degreeswebsite47 Degrees is a global consulting firm and certified Typesafe & Databricks Partner specializing in Scala & Spark.
BarclaysBarclayswebsiteBarclays is a British multinational banking and financial services company headquartered in London.
SwisscomSwisscomwebsiteSwisscom is the leading mobile service provider in Switzerland.
KnoldusknolduswebsiteKnoldus is a global consulting firm and certified "Select" Lightbend & Databricks Partner specializing in Scala & Spark ecosystem.