Building Real-Time Analytics Systems
This book is a practical guide for implementing real-time analytics applications on top of existing data infrastructure. It is aimed at data engineers, data architects, and application developers who have some experience working with streaming data or would like to get acquainted with it.
The book will conclude with considerations when putting applications into production, a look at some real-world use cases of real-time analytics, and a gaze into our real-time analytics crystal ball to see what might be coming in this field over the next few years.
Top 6 Use Cases for Real-Time Analytics
Ready to stay ahead in today’s fast-paced data-driven world? This eBook is your guide to unlocking the full potential of real-time analytics, no matter your industry or specific use case.
What’s inside?
- 6 Real-World Use Cases: Discover how companies use real-time analytics for fraud detection, personalization, business metrics monitoring, and more.
- Industry-Specific Applications: Learn how real-time analytics is transforming industries like IT, retail, FinTech, customer service, and more.
- Actionable Insights: Quickly identify solutions with our easy-to-use matrix, explore real-world examples, and gain inspiration from customer success stories.
Top 6 Use Cases for Real-Time Analytics
Ready to stay ahead in today’s fast-paced data-driven world? This eBook is your guide to unlocking the full potential of real-time analytics, no matter your industry or specific use case.
What’s inside?
- 6 Real-World Use Cases: Discover how companies use real-time analytics for fraud detection, personalization, business metrics monitoring, and more.
- Industry-Specific Applications: Learn how real-time analytics is transforming industries like IT, retail, FinTech, customer service, and more.
- Actionable Insights: Quickly identify solutions with our easy-to-use matrix, explore real-world examples, and gain inspiration from customer success stories.
Building Real-Time Analytics Systems
This book is a practical guide for implementing real-time analytics applications on top of existing data infrastructure. It is aimed at data engineers, data architects, and application developers who have some experience working with streaming data or would like to get acquainted with it.
The book will conclude with considerations when putting applications into production, a look at some real-world use cases of real-time analytics, and a gaze into our real-time analytics crystal ball to see what might be coming in this field over the next few years.