Redash Data Analytics and Dashboarding (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Redash Data Analytics and Dashboarding" Redash Data Analytics and Dashboarding delivers a comprehensive, hands-on guide to mastering modern analytics with Redash, an open-source platform trusted by analytics engineers and business teams alike. The book begins with an in-depth exploration of Redash's modular architecture, data flow, and extensibility, providing readers with the technical foundation required to deploy, scale, and secure robust analytics environments. Through best practices in installation, configuration, and disaster recovery planning, it empowers organizations to maintain ente...
"Redash Data Analytics and Dashboarding"
Redash Data Analytics and Dashboarding delivers a comprehensive, hands-on guide to mastering modern analytics with Redash, an open-source platform trusted by analytics engineers and business teams alike. The book begins with an in-depth exploration of Redash's modular architecture, data flow, and extensibility, providing readers with the technical foundation required to deploy, scale, and secure robust analytics environments. Through best practices in installation, configuration, and disaster recovery planning, it empowers organizations to maintain enterprise-grade reliability and resilience.
Moving beyond infrastructure, the book dives into advanced querying and data modeling techniques across SQL, NoSQL, and multi-source data landscapes. Readers learn to construct dynamic, high-performance analytical workflows, leverage parameterized queries, optimize for speed and cost, and design reusable, stable data models. A dedicated section on visualization engineering walks through the creation and extension of visual components, from interactive dashboards to dynamic filters and responsive design, enabling practitioners to deliver actionable insights across devices and audiences.
The volume further addresses automation, alerting, integrations, and governance, giving leaders the tools to implement intelligent workflows, maintain security and compliance, and embrace self-service analytics. Advanced chapters examine observability, reliability engineering, and emerging trends such as AI-driven analytics, large-scale enterprise adoption, and integration with the latest data platform technologies. Altogether, this book equips both practitioners and decision-makers with the critical knowledge to unlock Redash's full potential in today's rapidly evolving data landscape.
Redash Data Analytics and Dashboarding delivers a comprehensive, hands-on guide to mastering modern analytics with Redash, an open-source platform trusted by analytics engineers and business teams alike. The book begins with an in-depth exploration of Redash's modular architecture, data flow, and extensibility, providing readers with the technical foundation required to deploy, scale, and secure robust analytics environments. Through best practices in installation, configuration, and disaster recovery planning, it empowers organizations to maintain enterprise-grade reliability and resilience.
Moving beyond infrastructure, the book dives into advanced querying and data modeling techniques across SQL, NoSQL, and multi-source data landscapes. Readers learn to construct dynamic, high-performance analytical workflows, leverage parameterized queries, optimize for speed and cost, and design reusable, stable data models. A dedicated section on visualization engineering walks through the creation and extension of visual components, from interactive dashboards to dynamic filters and responsive design, enabling practitioners to deliver actionable insights across devices and audiences.
The volume further addresses automation, alerting, integrations, and governance, giving leaders the tools to implement intelligent workflows, maintain security and compliance, and embrace self-service analytics. Advanced chapters examine observability, reliability engineering, and emerging trends such as AI-driven analytics, large-scale enterprise adoption, and integration with the latest data platform technologies. Altogether, this book equips both practitioners and decision-makers with the critical knowledge to unlock Redash's full potential in today's rapidly evolving data landscape.
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