Briefing
After years of open-source evolution, Apache Doris has become a well-developed real-time analytics solution. It delivers real-time query response to huge datasets and provides high query concurrency and service availability. Now, it is widely used for real-time log analysis, monitoring and alerting, data stream analysis, dashboarding, real-time ETL, data visualization and ad-hoc analysis, multi-dimensional behavior analysis, social media data analysis, time-series data analysis.
What to Expect
- Introduction to Apache Doris' capabilities for real-time analytics, from data imports to queries and fast data changes
- Real-time data ingestion and storage
- Features to enable lightning response to real-time data services and interactive data analysis
- Pre-aggregation and real-time joins
- Features to support high-concurrency queries (10K QPS per node)
- Functional comparison with ClickHouse, Druid, Pinot, Redshift, Snowflake, and Elasticsearch
- Building a real-time data pipeline with Apache Doris
- Real-life use cases
