AWS Big Data Blog

Category: AWS Schema Conversion Tool

Migrate Microsoft Azure Synapse Analytics to HAQM Redshift using AWS SCT

In this post, we show how to migrate a data warehouse from Microsoft Azure Synapse to Redshift Serverless using AWS Schema Conversion Tool (AWS SCT) and AWS SCT data extraction agents. AWS SCT makes heterogeneous database migrations predictable by automatically converting the source database code and storage objects to a format compatible with the target database.

Accelerate your data warehouse migration to HAQM Redshift – Part 7

In this post, we describe at a high-level how CDC tasks work in AWS SCT. Then we deep dive into an example of how to configure, start, and manage a CDC migration task. We look briefly at performance and how you can tune a CDC migration, and then conclude with some information about how you can get started on your own migration.

Migrate Google BigQuery to HAQM Redshift using AWS Schema Conversion tool (SCT)

HAQM Redshift is a fast, fully-managed, petabyte scale data warehouse that provides the flexibility to use provisioned or serverless compute for your analytical workloads. Using HAQM Redshift Serverless and Query Editor v2, you can load and query large datasets in just a few clicks and pay only for what you use. The decoupled compute and […]

Accelerate your data warehouse migration to HAQM Redshift – Part 6

This is the sixth in a series of posts. We’re excited to share dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and potentially simplify your migrations from legacy data warehouses to HAQM Redshift. Check out all the previous posts in this series: […]

Migrate a large data warehouse from Greenplum to HAQM Redshift using AWS SCT – Part 2

In this second post of a multi-part series, we share best practices for choosing the optimal HAQM Redshift cluster, data architecture, converting stored procedures, compatible functions and queries widely used for SQL conversions, and recommendations for optimizing the length of data types for table columns. You can check out the first post of this series […]

Migrate a large data warehouse from Greenplum to HAQM Redshift using AWS SCT – Part 1

A data warehouse collects and consolidates data from various sources within your organization. It’s used as a centralized data repository for analytics and business intelligence. When working with on-premises legacy data warehouses, scaling the size of your data warehouse or improving performance can mean purchasing new hardware or adding more powerful hardware. This is often […]

Accelerate Snowflake to HAQM Redshift migration using AWS Schema Conversion Tool

July 2023: This post was reviewed for accuracy. HAQM Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to acquire new insights for your business and customers. […]

What to consider when migrating data warehouse to HAQM Redshift

Customers are migrating data warehouses to HAQM Redshift because it’s fast, scalable, and cost-effective. However, data warehouse migration projects can be complex and challenging. In this post, I help you understand the common drivers of data warehouse migration, migration strategies, and what tools and services are available to assist with your migration project. Let’s first […]

Accelerate your data warehouse migration to HAQM Redshift – Part 2

This is the second post in a multi-part series. We’re excited to shared dozens of new features to automate your schema conversion; preserve your investment in existing scripts, reports, and applications; accelerate query performance; and potentially reduce your overall cost to migrate to HAQM Redshift. Check out all posts in this series: Accelerate your data […]

How to migrate a large data warehouse from IBM Netezza to HAQM Redshift with no downtime

In this article, we explain how this customer performed a large-scale data warehouse migration from IBM Netezza to HAQM Redshift without downtime, by following a thoroughly planned migration process, and leveraging AWS Schema Conversion Tool (SCT) and HAQM Redshift best practices.