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Oracle HeatWave MySQL Foundations

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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.


01 - 1. Introducing MySQL HeatWave
  • 01 - Overview of MySQL HeatWave
  • 02 - Oracle Cloud infrastructure basics
  • 03 - MySQL HeatWave architecture
  • 04 - Practices for introducing MySQL HeatWave Overview
  • 05 - Cloud Shell overview
  • 06 - Practice 1-1 Preparing the lab environment
  • 07 - Practice 1-2 Inspecting the subnets of a VCN

  • 02 - 2. Deploying a DB System
  • 01 - Creating DB systems
  • 02 - Connecting to DB systems
  • 03 - Editing DB systems
  • 04 - Managing DB systems
  • 05 - Practices for deploying a DB system Overview
  • 06 - Practice 2-1 Creating a MySQL DB system
  • 07 - Practice 2-2 Connecting to a MySQL system with Cloud Shell
  • 08 - Practice 2-3 Editing a DB system
  • 09 - Practice 2-4 Increasing the storage size of a DB system
  • 10 - Practice 2-5 Stopping, starting, and restarting a MySQL DB system

  • 03 - 3. Deploying a HeatWave Cluster
  • 01 - Adding a HeatWave cluster
  • 02 - Loading data and running queries
  • 03 - Managing a HeatWave cluster
  • 04 - Practices for deploying a HeatWave cluster Overview
  • 05 - Practice 3-1 Adding a HeatWave cluster to a DB system
  • 06 - Practice 3-2 Loading data into HeatWave and running queries on HeatWave
  • 07 - Practice 3-3 Stop, start, restart, resize, and delete a HeatWave cluster

  • 04 - 4. Introducing HeatWave Query Accelerator
  • 01 - Overview of HeatWave query accelerator
  • 02 - Practice 1-1 Preparing the lab environment

  • 05 - 5. Loading Data into HeatWave Cluster
  • 01 - Loading data into a HeatWave cluster Overview
  • 02 - Loading data manually
  • 03 - Loading data using Auto Parallel Load
  • 04 - Monitoring data loading
  • 05 - Unloading data
  • 06 - Practice 2 Overview
  • 07 - Practice 2-1 Loading data manually into a HeatWave cluster
  • 08 - Practice 2-2 Loading data with Auto Parallel Load
  • 09 - Practice 2-3 Monitoring data loading into a HeatWave cluster
  • 10 - Practice 2-4 Unloading data from a HeatWave cluster
  • 11 - Offloading queries to HeatWave
  • 12 - Debugging queries
  • 13 - Practice 3 Overview
  • 14 - Practice 3-1 Offloading queries to HeatWave cluster
  • 15 - Practice 3-2 Debugging queries that are not offloaded to HeatWave cluster

  • 06 - 6. Optimizing HeatWave Workload
  • 01 - Overview of advisors
  • 02 - Auto Encoding Advisor
  • 03 - Auto Data Placement Advisor
  • 04 - Query Insights
  • 05 - Auto Unload Advisor
  • 06 - Practice 4 Overview
  • 07 - Practice 4-1 Viewing query runtime with Query Insights
  • 08 - Practice 4-2 Identifying tables to unload with Auto Unload Advisor
  • 09 - Practice 4-3 Optimizing string column encoding with Auto Encoding Advisor
  • 10 - Practice 4-4 Optimizing partitioning columns with Auto Data Placement Advisor
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    تاریخ انتشار: ۲۵ اردیبهشت ۱۴۰۴
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