#Vertica dbschema how to#
In this section, we discuss how to size the Amazon Redshift cluster based on the size of the Vertica dataset that you’re moving to Amazon Redshift. Your business use case drives what data gets loaded to Amazon Redshift and what data remains on the data lake.
When planning your migration, start with where you want to place the data. Finally, we cover how cluster management on Amazon Redshift differs from Vertica. We also see how to speed up the data migration to Amazon Redshift based on your data size and network connectivity. We look at the tools for schema conversion and see how to choose the right keys for distributing and sorting your data. We discuss how to plan for the migration, including sizing your Amazon Redshift cluster and strategies for data placement. In this post, we discuss the best practices for migrating from a self-managed Vertica cluster to the fully managed Amazon Redshift solution.
#Vertica dbschema install#
Amazon Redshift is a fully managed cloud solution you don’t have to install and upgrade database software and manage the OS and the hardware. When you use Vertica, you have to install and upgrade Vertica database software and manage the cluster OS and hardware.
With Amazon Redshift, you can query petabytes of structured and semi-structured data across your data warehouse, operational database, and your data lake using standard SQL.
Amazon Redshift powers analytical workloads for Fortune 500 companies, startups, and everything in between.
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