CelerData X DBTA - Go Pipeline-Free With Real-Time Analytics

Complex real-time data pipelines are now a thing of the past. Going "pipeline-free" is the new best practice for data-driven businesses. Learn how to build your own pipeline-free platform in this video.

Highlights:
🌟New tricks to boost performance and reduce maintenance
🌟How to go pipeline-free using only open-source software
🌟What businesses like Airbnb are doing to go pipeline-free

This engineer-led discussion covers the finer points of pipeline development in real-time analytics, and identify the key areas you should focus on when going pipeline-free.

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Timestamps
00:00 - Intro
01:15 - Agenda
02:05 - What Is Wrong With Denormalization in Real-Time Analytics?
06:09 - Benchmark Test - StarRocks vs. ClickHouse, Druid and Trino
10:35 - Airbnb Case Study - "Pipeline-Free" Real-Time Analytics
13:40 - How Do We Go Pipeline Free - A Deeper Look Into StarRocks
14:12 - StarRocks Compute Architecture
18:13 - Query Planning - Cost-Based Optimizer
21:12 - Query Execution - Columnar Storage + Fully Vectorized Operators
22:24 - Query Execution - C++ SIMD Optimized
24:20 - Partial Update for High Concurrency Scenarios
26:05 - Demo: CelerData Cloud - Intro
28:34 - Demo: CelerData Cloud - Capabilities
30:07 - Demo: CelerData Cloud - Query Planning and Execution - Global Runtime Filter
38:55 - Demo: CelerData Cloud - Data Lake: Data Catalog
41:54 - Get Started With StarRocks and CelerData
43:31 - Q&A - How Does Real-Time Analysis Impact Decision Making And Operational Efficiency
44:52 - Q&A - What Are The Reasons That StarRocks Is Faster Than Trino?
45:48 - Q&A - Can StarRocks Perform Real-Time Update?
47:03 - Q&A - What Data Lake Does StarRocks Support as a Query Engine?
47:44 - Go Pipeline-Free With Real-Time Analytics

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