The Oracle HeatWave MySQL Foundations course is designed to introduce you to HeatWave's massively parallel, high-performance, native in-memory query acceleration. Learn about configuring the cluster and using the innovative Autopilot features to accelerate your MySQL performance by orders of magnitude for analytics and mixed workloads.
Oracle HeatWave MySQL Foundation
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
5 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Describe the architecture and features of MySQL HeatWave
Create and manage DB systems
Add and manage a HeatWave cluster
Load data and run queries on HeatWave cluster
Explain the working of HeatWave query accelerator
Load data and run queries on HeatWave cluster
Optimize HeatWave workload by using advisors
Skills you'll gain
Details to know
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Recently updated!
December 2024
Assessments
9 assignments
Taught in English
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There are 2 modules in this course
This module provides an overview of the MySQL HeatWave Database Service along with it architecture. It then covers how to deploy, connect, edit, and manage a MySQL DB System. Next, it covers how to use Auto Parallel Load to load data into HeatWave and determine whether a query is executed on the HeatWave cluster. Finally, the course covers the steps to view, stop, start, restart, resize, and delete a HeatWave Cluster.
What's included
24 videos4 assignments
This module explains the workings of HeatWave Query Accelerator and in the process, you learn how to use Auto Parallel Load to load data into HeatWave Cluster. You learn how to offload queries to HeatWave Cluster and to debug queries. Additionally, you learn how to optimize HeatWave workloads by using advisors, such as Auto Encoding Advisor, Auto Data Placement Advisor, Query Insights, Auto Unload Advisor.
What's included
27 videos5 assignments
Instructor
Offered by
Recommended if you're interested in Data Management
University of Colorado Boulder
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University of Michigan
Coursera Project Network
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Frequently asked questions
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