"Applied Analytics with Spotfire"
Applied Analytics with Spotfire is an authoritative and comprehensive guide for leveraging the powerful capabilities of the Spotfire analytics platform in enterprise environments. From foundational platform architecture and data connectivity to advanced integration with APIs and deployment automation, this book provides detailed guidance on building robust, scalable analytics solutions. Readers will gain expert insight into designing secure, role-based environments, optimizing performance, and employing best practices for DevOps and CI/CD pipelines within Spotfire deployments.
The book delves deeply into the mechanics of data modeling, transformation, and visualization—covering everything from cleansing and blending complex data sources to creating dynamic dashboards and interactive analytic applications. Readers will master advanced techniques for real-time and geospatial analytics, dynamic calculations, and conditional formatting, all underpinned by solid principles of effective data visualization. Robust coverage of statistical analysis, machine learning, and the integration of R and Python scripts enables practitioners to unlock powerful predictive modeling capabilities and seamlessly automate analytic workflows.
Applied Analytics with Spotfire addresses the full analytics lifecycle, including collaboration, governance, and operationalization within large organizations. The text explores enterprise security, compliance with regulatory standards, and robust change management practices to ensure data privacy and asset integrity. Innovative topics such as AI-driven analytics, conversational interfaces, IoT and streaming data solutions, and cloud-native deployments position readers at the cutting edge of analytic innovation, making this a vital resource for analytics professionals, solution architects, and data-driven organizations seeking to maximize their investment in Spotfire.
