Apache Superset - Data Visualization

Requirements

Data Visualization

• Designing charts, graphs, and dashboards to clearly convey insights.
  

• Applying principles of visual storytelling and enhancing user experience.
  

Data Modeling & Transformation

• Preparing data by cleaning, structuring, and reshaping it for analysis.
  

• Understanding relationships between tables and datasets to ensure accurate insights.
  

SQL Proficiency

• Working knowledge of DAX, Power Query, and SQL for data querying and manipulation.
  

Dashboard Design & Interactivity

• Building interactive dashboards featuring filters, drill-downs, and tooltips.
  

• Structuring visuals to improve clarity and usability.
  

Connecting to Data Sources

• Integrating with databases such as Oracle, MySQL, Snowflake, ClickHouse, data lakes, APIs, and cloud platforms.
  

• Handling credentials, drivers, and connection configurations.
  

Collaboration & Sharing

• Publishing dashboards and reports for stakeholders.
  

• Managing user permissions and access controls.
  

Coding Proficiency

• Competency in Python or a similar programming language for data processing and automation.