Everything You Need to Know about Real-Time Analytics

Recap

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.

Slides Download: Real-Time Analytics with Apache Doris: Everything You Need to Know

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

Speaker

Colin Wang

Apache Doris Contributor, Product Manager at VeloDB

Colin Wang is an Apache Doris contributor and previously a Solution Architect who has helped numerous Doris users in production environment. He has accumulated lots of hands-on experience and user-oriented insights all these years. And now, he is about to share them with everyone!