Introduces the basic concepts and architecture of VoltDB and the features that make it capable of unparalleled scalability and throughput in an ACID database.
Describes the steps for creating a VoltDB database and defining the database schema, building the catalog, and starting the database.
Explains the benefits of using stored procedures in VoltDB and how to declare both simple, single query procedures as well as more complex procedures involving multiple queries and app-specific logic.
Partitioning is one of the keystones of VoltDB. This session explains how partitioning works and presents guidelines for choosing appropriate partitioning columns for your database tables and procedures.
Explains how easy it is to create a database cluster with VoltDB and how you can use clusters to increase capacity, performance, and/or availability.
Planning for the unexpected is an important part of effectively managing any computer application. This session describes the three VoltDB database features that protect your data from life’s harsh realities.
Database performance is a combination of system features and query design. Learn how to use VoltDB compiler annotations and execution plans to tune your queries for maximum performance.
Explains how to calculate the type and number of servers that you will need to run your database based on your estimated volume and workload.
Describes the tools and commands available to help you create, monitor, and manage VoltDB databases in production.
Rounds out the training with a discussion of client applications, including best practices for connecting to VoltDB databases, invoking stored procedures, and interpreting the results.
In this video, you’ll learn how to use the Simple Example app included in the VoltDB Open Source product.
Watch this video to learn how to build a fraud detection app using machine learning.
Watch this video to learn how to use the machine learning for VoltDB module, called VoltML.