Building Real-Time Analytics Applications

Every organization needs insight to succeed and excel, and the primary foundation for insights today is data—whether it's internal data from operational systems or external data from partners, vendors, and public sources. But how can you use this data to create and maintain analytics applications capable of gaining real insights in real time?

In this report, Darin Briskman explains that leading organizations like Netflix, Walmart, and Confluent have found that while traditional analytics still have value, it's not enough. These companies and many others are now building real-time analytics that deliver insights continually, on demand, and at scale—complete with interactive drill-down data conversations, subsecond performance at scale, and always-on reliability.

Ideal for data engineers, data scientists, data architects, and software developers, this report helps you:

• Learn the elements of real-time analytics, including subsecond performance, high concurrency, and the combination of real-time and historical data
• Examine case studies that show how Netflix, Walmart, and Confluent have adopted real-time analytics
• Explore Apache Druid, the real-time database that powers real-time analytics applications
• Learn how to create real-time analytics applications through data design and interfaces
• Understand the importance of security, resilience, and managed services

Darin Briskman is director of technology at Imply Data, Inc., a software company committed to advancing open source technology and making it simple for developers to realize the power of Apache Druid.