The notebook offers an easy way to prototype Scala/Spark code with SQL queries to analyse data.
Spark is a general-purpose framework for cluster computing.
- Multiple Spark Context Support – each notebook spawns a new JVM with its own SparkSession instance.
- Perform reproducible analysis with Scala, Apache Spark, and the Big Data ecosystem.
- Visualize the output of SQL queries directly as tables and charts.
- Focused on Scala, SQL and Apache Spark.
- 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.
- Components in the Spark Notebook are dynamic and reactive.
- Run Spark Notebook from a secured YARN cluster, Amazon EMR, and Mesosphere Data Center Operating System (DCOS).
- Various widgets to enrich the interaction with the data.
- HTML widgets – dedicated to display and interact with data elements. They can be useful to show samples of large datasets, to choose specific data points, or to show continuous updates of streaming data.
- Graphical widgets – customizable charts ranging from simple line and bar charts to advanced pivot tables and geo-charts.
- Metadata driven configuration. The metadata in the notebook allows you to configure many runtime aspects of the Spark Notebook, any cluster it connects to, specific library dependencies needed, as well as JVM parameters and definition of variables that describe your environment.
This software requires Java 7 or higher.
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