Table of contents

Overview of Data Science Experience Local

IBM Data Science Experience (DSX) Local is an out-of-the-box on premises enterprise solution for data scientists and data engineers. It offers a suite of data science tools, such as RStudio, Spark, Jupyter, and Zeppelin notebooks, that are integrated with proprietary IBM technologies.

Diagram introducing DSX

The intuitive DSX user interface provides a collaborative Projects space for teams and individuals to reduce the time to value. Projects can contain notebooks, data assets, and collaborators.

Watch this short video for an introduction to DSX Local.

Figure 1. Video iconIntroduction to DSX Local
This video is an introduction to DSX Local and what it offers as a data science platform.

Quick overview

IBM Data Science Experience (DSX) Local is a social environment where you can collaborate to solve data challenges with the best tools and most recent expertise.

Community

Jump start your analysis with a sample or course in R, Python, or Scala, copy content into a Jupyter notebook, or work in a fully embedded RStudio environment.

What's it look like?

When you open a notebook, the action bar includes the previously listed features.

Notebooks

You can create a Jupyter notebook in R, Python, or Scala, or a Zeppelin notebook with a combination of R, Python, or Scala. Start from scratch, import an existing notebook, or use one of the samples from the community.

When you open a new or existing notebook, the action bar is available. From the action bar, you can view and use connected data sources, see the comments and versions, and share your notebook with others.

What's it look like?

When you open a notebook, the action bar includes the previously listed features.

Projects

Projects are your home base for collaboration. You can use projects to collect assets, such as notebooks, models, data sources, and remote and local data sets, in one place. Projects are a great way to work with a team: share a set of assets and then build new models and analysis together. You can collaborate either in DSX Local or an external Git repository.

What's it look like?

An example project page in Data Science Experience. The Overview page includes a list of notebooks and data assets in the project.

Admin console

DSX Local manages your resources, and provides automated scaling and recovery options. The administration console helps you manage and monitor your hardware, users, and services. Security is built into DSX from data encryption at rest and in motion to user management.

What's it look like?

When you open a notebook, the action bar includes the previously listed features.

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