This is the Windows app named Spark Notebook whose latest release can be downloaded as Spark2.x-betterUX_stability-notebookversioning-sbtprojectgeneration-etcsourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named Spark Notebook with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS:
Spark Notebook
DESCRIPTION:
Spark Notebook is an interactive web-based computational notebook designed to make working with Apache Spark more productive, exploratory, and expressive. It allows developers, data scientists, and analysts to write, run, and visualize Spark code in cells that support multiple languages such as Scala, Python, and SQL, all within the same notebook. Users can interleave runnable code, rich text markup, visualizations, equations, and results, enabling reproducible research and exploratory data analysis workflows. Because it runs on top of Spark’s distributed engine, it can scale from running locally on a laptop to executing on clusters with large datasets without changing user workflow. The UI is notebook-style with support for incremental execution, error inspection, and stateful session continuity, making it easy to iterate on data transformations and model training tasks.
Features
- Multi-language cell execution (Scala, Python, SQL)
- Interactive web notebook interface
- Inline visualizations for data and results
- Seamless Spark cluster integration
- Rich text and markup support
- Integration with external data sources
Programming Language
JavaScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/spark-notebook.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.