In this session, we will delve into Twingo's extensive experience in the big-data field and explore the primary challenges encountered in large-scale real-time analytics.
We will also examine how modern technologies, specifically Singlestore, can provide solutions.

The key topics to be covered include:
- Strategies for achieving real-time data freshness in analytics.
- How analytical queries can deliver sub-second response times, even when dealing with many billions of records.
- Simplifying architecture by leveraging the flexibility of schema, semi-structured data, and the capabilities of a relational database management system (RDBMS) in the same platform.
- Addressing data discrepancies at their root cause.
- Identifying the optimal scenarios for utilizing SingleStore, Elasticsearch, MongoDB and Big Query.
- Strategies for achieving high throughput with thousands of complex analytical queries per second.
- Effectively combining vector similarity search with analytics.
- Real-life production use cases will also be discussed.

Get ready to immerse yourself in Twingo's wealth of knowledge and expertise in this captivating session.