diff --git a/_posts/2021-07-21-getting-started.md b/_posts/2021-07-21-getting-started.md index 63b7aac..e484176 100644 --- a/_posts/2021-07-21-getting-started.md +++ b/_posts/2021-07-21-getting-started.md @@ -50,6 +50,22 @@ $ apt upgrade * Create a bootable SD card with the image and boot it * Download the MindTheGapps file that matches your Lineage version and reboot into recovery mode, then load that file and Google Play Store will be ready to use. +## Analytical Software for IoT Projects + +| Tool | FOSS | Pros | Cons | +|------|------|------|------| +| **KNIME** | Yes | User-friendly, visual data pipeline design. Extensive plugin ecosystem. Good for non-programmers. Strong in data preprocessing and analysis | Can be less intuitive for complex, custom data analysis. Performance issues with very large datasets | +| **Tableau** | No | Exceptional data visualization capabilities. Intuitive and user-friendly. Strong in business intelligence | Expensive. Not open source. More focused on visualization than data modeling | +| **Alteryx** | No | Strong in data blending and preparation. Advanced analytics capabilities. Good integration with other tools | Expensive. Not open source. Steeper learning curve | +| **RapidMiner** | No | Comprehensive data science platform. Good for machine learning and predictive modeling. User-friendly with a visual approach | Free version is limited. Can be expensive for the full version. Steep learning curve for advanced features | +| **QlikView/Qlik Sense** | No | Powerful for interactive data discovery and BI. Flexible and customizable. Good data integration | Can be expensive. Steeper learning curve compared to some competitors. Not open source | +| **Python Libraries** (e.g., pandas, scikit-learn) | Yes | Highly flexible and powerful. Huge ecosystem and community. Ideal for custom, complex analysis | Requires programming knowledge. Steeper learning curve for non-programmers | +| **R Libraries** (e.g., ggplot2, dplyr) | Yes | Excellent for statistical analysis and data visualization. Large number of packages for various analyses. Strong academic and research community support | Requires programming knowledge. Less intuitive for those unfamiliar with R | +| **Metabase** | Yes | Easy to use for creating dashboards and reports. Strong in data visualization and business intelligence. Supports a wide range of databases | Limited in advanced analytics capabilities. Not as flexible for custom data processing as some other tools | +| **Apache Superset** | Yes | Open-source data visualization and data exploration platform. Supports SQL querying. Customizable and extensible | Requires technical knowledge for setup and customization. May have performance issues with very large datasets | +| **Kibana** | Yes | Part of the Elastic Stack, excellent for visualizing Elasticsearch data. Great for log and time-series analytics. Real-time data visualization | Primarily tailored to Elasticsearch data. Can be complex to configure and optimize. Less versatile for non-Elasticsearch data | + +