Interactive Superset Dashboard you own this product

prerequisites
beginner SQL • basic common data visualization types • basic dashboard design and layout
skills learned
use Apache Superset to interact with the data via its SQL editor • build charts, and add them to dashboards • create and configure a workspace on Preset and interact with its managed version of Apache Superset • translate business requirements and requests into SQL queries
Mahdi Karabiben
1 week · 4-6 hours per week · BEGINNER
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Look inside

Give your end-users what they want! In this liveProject, your challenge is to deliver an infrastructure that allows your end-users to query an existing, fully functioning modern Lakehouse for two different use cases: analyzing data aggregates over a long period of time to identify trends, and analyzing recently ingested data for monitoring purposes. You’ll use Preset, an SaaS platform that offers a managed version of Apache Superset, to run queries on the Lakehouse and build two interactive dashboards for your distinct use cases.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

project author

Mahdi Karabiben

Mahdi is a senior data engineer at Zendesk. With four years of experience in data engineering, he has worked on multiple large-scale projects within the AdTech and financial sectors. He's a Cloudera-certified Apache Spark developer and works with Big Data technologies on a daily basis, designing and building data pipelines, data lakes, and data services that rely on petabytes of data. Thanks to his degree in software engineering (with a minor in big data), he is comfortable with a wide range of technologies and concepts. He additionally writes for major Medium publications (Towards Data Science, The Startup) and technology websites (TheNextWeb, Software Engineering Daily, freeCodeCamp).

prerequisites

The liveProject is for software engineers and data professionals interested in onboarding big data processing skills including processing large amounts of data and building cloud-based data lakes. To begin these liveProjects you'll need to be familiar with the following:


TOOLS
  • Beginner SQL
TECHNIQUES
  • Basic SQL and relational (or NoSQL) databases
  • Basic common data visualization types
  • Basic dashboard design and layout

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