Oracle HeatWave MySQL Foundations

[martinstronis654]

Oracle HeatWave MySQL Foundations
Released 11/2024
With Oracle University
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 43m 21s | Size: 511 MB​

Get an overview of MySQL HeatWave, the fully managed database service from Oracle that lets you develop and deploy secure cloud-native applications.

Course details
This course is designed to introduce beginners to the parallel, high-performance, native in-memory query acceleration of MySQL HeatWave. Learn about configuring a cluster and using the innovative Autopilot features to accelerate your MySQL performance for analytics and mixed workloads. Along the way, discover the inner workings of HeatWave's query accelerator, including how to use Auto Parallel Load, load data into a HeatWave cluster, offload queries, and much more, optimizing your HeatWave workloads using advisors, such as Auto Encoding Advisor, Auto Data Placement Advisor, Query Insights, and Auto Unload Advisor.Note: This course was created by Oracle University. We are pleased to host this content in our library.

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[0dayddl]

Oracle HeatWave MySQL Foundations
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 3h 43m | 488 MB
Instructor: Hope Fisher​

This course is designed to introduce beginners to the parallel, high-performance, native in-memory query acceleration of MySQL HeatWave. Learn about configuring a cluster and using the innovative Autopilot features to accelerate your MySQL performance for analytics and mixed workloads. Along the way, discover the inner workings of HeatWave's query accelerator, including how to use Auto Parallel Load, load data into a HeatWave cluster, offload queries, and much more, optimizing your HeatWave workloads using advisors, such as Auto Encoding Advisor, Auto Data Placement Advisor, Query Insights, and Auto Unload Advisor.

Learning objectives

• Describe the architecture and features of MySQL HeatWave.
• Create and manage database systems.
• Add and manage a HeatWave cluster.
• Load data and run queries on a HeatWave cluster.
• Explain the inner workings of HeatWave query accelerator.
• Load data into and run queries on a HeatWave cluster.
• Optimize HeatWave workloads using advisors.

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