🌟 Fast-track your understanding of why StarRocks is leading the data game in real-time analytics and as a data lakehouse query engine.
This session will unveil the reasons behind StarRocks' emergence as the preferred query engine for a growing number of enterprises. Discover its key features, explore a variety of use cases, and learn how you can leverage StarRocks to benefit your organization.
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Timestamps
00:00 Intro And Agenda
01:21 StarRocks Project Introduction
02:57 StarRocks Architecture - StarRocks As A Data Warehouse
06:10 StarRocks Architecture - StarRocks As A Lakehouse Query Engine
07:03 Use StarRocks As A Real-Time Data Warehouse
07:11 How To Simplify Your Real-Time Data Pipeline
08:08 How Fast Is StarRocks - Benchmark Comparison: StarRocks Vs. ClickHouse Vs. Apache Druid
09:54 How StarRocks Perform Join So Fast - Features Walkthrough
10:11 How Does A Query Work
10:58 StarRocks Query Planning: Cost-Based Optimizer: The Key To Efficient Query Planning
12:52 Data Pruning - Global Runtime Filter
15:16 Compute Architecture - Architectures Tailored For Different Purposes
17:55 Efficient Query Execution - Columnar Storage + Fully Vectorized Operators; C++ SIMD Optimized
19:34 Customer Success Story
19:46 Pipeline-Free RTA From Airbnb: Before Vs. After
21:39 Pipeline-Free RTA From Tencent Games: Before Vs. After
23:03 How To Get Started - StarRocks As A Data Warehouse
23:49 Use StarRocks As A Data Lakehouse Query Engine
23:58 What Is Data Lakehouse - Data Warehouse Features On Data Lake
25:54 The Reality - Users Are Still Copying Their Data Out Of Data Lakehouse For Query Acceleration
28:50 Challenges Of Fast Data Lake Queries - The Main Cost Of Data Lake Queries
31:18 How StarRocks Accelerates Data Lake Query Performance
33:06 StarRocks Is Fast As A Data Warehouse
33:18 Benchmarking: StarRocks As A Data Warehouse Vs StarRocks As A Lakehouse Query Engine
34:05 Benchmarking: StarRocks Vs. Trino
34:55 Customer Success Story: ATRenew’s Data Analytics On 100TBs Of Data Per Day
36:49 Beyond Just Fast Queries: Challenges With ETL Workloads
39:03 On-Demand Pre-Computation: ETL Pipelines Are Being Built On-Demand Instead Of Default
40:05 StarRocks Materialized View - On-Demand Pre-Computation
41:22 Customer Success Story: Trip.com’s Artnova Platform
44:15 The Cost Of Maintaining An Infra-Level Software
45:59 CelerData Cloud - Managed StarRocks In Your VPC
48:21 Try CelerData Cloud For Free At Cloud.Celerdata.Com
48:54 Q&A
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Learn more at celerdata.com/
Connect with us:
LinkedIn: / celerdata
Twitter: / celerdata
StarRocks GitHub: github.com/StarRocks/StarRocks
StarRocks Website: www.starrocks.io/
Slack: try.starrocks.com/join-starro...
#DataAnalytics #DataEngineering #DataLakeAnalytics #OLAP #DataAnalyst #DataEngineer #DataInfrastructure #UserFacingAnalytics #Database #AnalyticalDatabase #DataLake #DataLakeHouse #Trino #Presto #DataWarehouse #DataScience #ApacheIceberg #Hudi
26 июл 2024
