What Is Apache Superset?
Data plays an important role in ML Lifecycle. With Apache Superset, you can easily visualize and explore data. It’s simple and easy to use, offering a wide range of options for users of all ability levels to explore and visualize their data, from simple pie charts to complex decks. It is one of the best MLOps tools, which allows you to take large amounts of raw data and crunch it down into more manageable results.
Apache Superset is a data exploration and machine learning tool built on top of popular open-source technologies like JDBC and H2O. JDBC provides a bridge that connects SQL queries with analytic capabilities like those found in SAS or SPSS, but with a much friendlier user interface and less expensive license cost. H2O allows users to explore their data through predictive models and interactive visualizations.
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Apache Superset Features
Superset has a number of features that can help you with various tasks.
- It allows you to create custom visualizations and enhance its capabilities.
- Apache Superset lets you run SQL queries on the SQL tab to investigate your data.
- It provides an easy no-code visualization builder or our state-of-the-art SQL IDE to quickly integrate and analyze your data.
- It is a lightweight and scalable data ingestion solution that works with your existing data infrastructure without needing a separate ingestion layer.
Internal Architecture & Installation
Let’s look at some terminologies and the installation process for superset.
- Apache superset is built entirely on top of python; it uses flask app builder internally.
- It supports python version > 3.6
- Superset can be installed in a variety of methods, the most common of which are:
- Locally, you have to install python and then pip install dependencies.
Security & Authentication
In the world of data, security is a major concern. With superset, you can give different users different levels of access. For example, data scientists should have access to graphs 1 and 2, whereas business analysts should see graphs 3 and 4. It’s simple to set roles, such as who should view the visualization and who can perform data analysis. It’s a lot simpler to deal with things when you use Superset.
