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R is a statistical programming language, ideal for advanced data analysis, statistical modeling, and machine learning. It is more powerful for complex statistical tasks and offers a wider range of analysis techniques compared to QlikView, which focuses more on visualization and business intelligence. While QlikView is user-friendly for non-technical users, R is better suited for those with statistical knowledge.

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A QlikView developer's roles and responsibilities include:

1. Data Modeling: Designing efficient data models and data structures.
2. ETL Process: Extracting, transforming, and loading data from various sources.
3. Dashboard & Report Creation: Building interactive dashboards and reports for users.
4. Performance Tuning: Optimizing QlikView apps for speed and performance.
5. Testing & Troubleshooting: Ensuring data accuracy and fixing issues in the applications.
6. User Support: Providing ongoing support and updates based on client feedback.

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QlikView and Qlik Sense both come from Qlik, but have key differences:

1. User Interface:

   • QlikView: Requires more manual setup and is less intuitive for users.
   • Qlik Sense: More user-friendly, offering a drag-and-drop interface.

2. Data Visualization:

   • QlikView: Focuses on structured and pre-built reports.
   • Qlik Sense: Provides interactive and flexible visualizations, ideal for self-service analytics.

3. Architecture:

   • QlikView: Primarily designed for guided analytics with complex scripting.
   • Qlik Sense: Optimized for self-service with minimal scripting.

4. Deployment:

   • QlikView: Requires a more rigid deployment process.
   • Qlik Sense: Easier to deploy, with cloud options and better mobile support.

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Tableau Desktop and Tableau Server serve different purposes in the Tableau ecosystem:

1. Purpose:

   • Tableau Desktop: A standalone application for creating visualizations, reports, and dashboards. It allows users to connect to data sources, analyze, and build visualizations.
   • Tableau Server: A platform for sharing, collaborating, and managing Tableau reports and dashboards. It allows users to publish, view, and interact with visualizations over the web.

2. Usage:

   • Tableau Desktop: Primarily used by data analysts and developers for building and designing visualizations.
   • Tableau Server: Used by teams and organizations to collaborate and securely access shared reports and dashboards.

3. Data Connectivity:

   • Tableau Desktop: Connects directly to a wide variety of data sources (Excel, SQL, etc.) and allows local data manipulation.
   • Tableau Server: Provides access to dashboards and data published from Tableau Desktop. Data is refreshed and managed centrally.

4. Licensing:

   • Tableau Desktop: Licensed per user for creation and authoring of visualizations.
   • Tableau Server: Licensed per user or core for sharing and managing visualizations across multiple users in an organization.

5. Collaboration:

   • Tableau Desktop: Limited to individual work on visualizations.
   • Tableau Server: Enables collaboration, sharing, and viewing of reports by multiple users across the organization.

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