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MariaDB ColumnStore Engine Docker Demo: Taking Analytics to New Speed
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Two links is all you need to upgrade MariaDB Server for operational analytics with MariaDB Columnstore! Join Kathryn Sizemore who show you how to load a realistic 38M record data set and compare load timing, disk storage used, and query speed as a way of illustrating the benefits of these two storage engines.
Related Resources
Table of Contents
0:00 Intro
1:32 Agenda
2:25 Comparing InnoDB engine and Columnstore
6:23 Columnstore Docker Image
9:19 Data Load & Storage Comparison
13:12 Query Speed comparison
16:03 Results Chart
►Subscribe to the MariaDB channel:
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan, or ordering takeout–MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500 run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments, and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
#MariaDB #Database #Data #SQL #analytics
Related Resources
Table of Contents
0:00 Intro
1:32 Agenda
2:25 Comparing InnoDB engine and Columnstore
6:23 Columnstore Docker Image
9:19 Data Load & Storage Comparison
13:12 Query Speed comparison
16:03 Results Chart
►Subscribe to the MariaDB channel:
MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan, or ordering takeout–MariaDB is the backbone of applications used every day. Companies small and large, including 75% of the Fortune 500 run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments, and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
#MariaDB #Database #Data #SQL #analytics
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