Take advantage of Amazon Redshift benefits
Broad migration opportunities for your Data Warehouse
Are you seeking to improve the performance of your data analytics, reduce maintenance costs, and increase scalability? Our extensive expertise in data warehouse migrations, combined with Amazon Redshift’s capabilities, enables you to achieve these goals seamlessly.
Our qualified engineers and certified professionals have the experience needed to help you successfully migrate complex data warehouse environments. We work closely with your team to identify your goals and challenges, optimizing the migration strategy to ensure high availability, security, and cost-efficiency.
ABCloudz offers a full range of services to support your data warehouse migration journey:
- 12-Step Migration and Modernization Methodology: At ABCloudz, we understand that a successful migration or modernization project is built on a strong foundation and a clear strategy. Our 12-step Migration and Modernization Methodology, honed over 20 years of practice, is so effective that AWS adopted it as part of their cloud migration best practices. This approach ensures a comprehensive and strategic process, minimizing risks and ensuring successful project outcomes.
- Featured offerings: Our specialized migration offerings include:
- Migrate IBM PureData System for Analytics (formerly Netezza) to Amazon Redshift
- Migrate Teradata to Amazon Redshift
- Migrate Micro Focus Vertica to Amazon Redshift
- Migrate Pivotal Greenplum to Amazon Redshift
- Migrate SAP IQ (formally Sybase) to Amazon Redshift
- Typical migration challenges and solutions: Migrating data warehouses can be challenging, from mapping table index strategies to managing large datasets. Our experts have deep knowledge in overcoming these challenges using tools like AWS Schema Conversion Tool (SCT) and AWS Database Migration Service (DMS).
- Experts in Amazon Redshift migration: Our team has proven expertise in migrating major data warehouse platforms such as Netezza, Teradata, Vertica, and Greenplum to Amazon Redshift. We use best practices, including leveraging Amazon Snowball Edge for transferring large datasets, to deliver seamless migrations.
- AWS Data Warehouse migration support: Take advantage of our experienced professionals with deep knowledge of AWS DMS and SCT to migrate your data warehouses to Amazon Redshift with minimal downtime and disruption.
- Future-state architectural design: Let us help you design a future-state architecture that fully leverages the cloud’s power, including modern analytics solutions on Amazon Redshift to meet your evolving business needs.
- Amazon Redshift performance tuning: Discover the best practices to optimize Amazon Redshift’s columnar technology and parallel processing capabilities, enhancing your data warehouse’s performance.
- The technologies we use to help you with your Amazon Redshift solutions:
- Generative AI integration through Amazon Bedrock: Although not a typical part of data warehouse migration, integrating Generative AI can be a game-changer. With Amazon Bedrock, we can help you leverage AI-driven insights to enhance data analytics, drive automation, and extract new value from your data.
With ABCloudz as your partner, you can take advantage of Amazon Redshift’s scalable and cost-efficient cloud data warehouse, improve query performance, reduce maintenance costs, and unlock the full potential of your data. Learn more about our services in more detail below on this page.
Typical challenges that we see
Data Warehouse migration to AWS is a daunting task with a lot of hidden issues and possible problems. With our extensive experience, we can overcome all of the challenges migration projects have to offer.
Challenge |
Benefit |
|---|---|
Mapping the table index strategy of the source data warehouse to Amazon Redshift |
Amazon Redshift does not use indexes for optimizing query performance. Amazon Redshift is different from other data warehouse solutions in that there is no CREATE INDEX command. Instead, Amazon Redshift uses features like Sort and Distribution Keys to optimize query performance. We use the features in Amazon’s Database Migration Service with the Schema Conversion Tool (SCT) to optimize the Sort and Distribution Keys. SCT uses the table statistics to come up with different options to choose from. In most cases, you can pick the recommendation suggested by the SCT tool. If you do happen to make a mistake a query performance becomes an issue, SCT uses the table statistics to suggest updates and recreates the table to take advantage of the new setting. |
How can I migrate terabytes of data to the Amazon cloud? |
Imagine you have an 80 TB database that needs to be extracted and imported into Amazon Redshift or Aurora database. Normally, it would take up to several weeks for extracting and migrating such databases over the internet. ABCloudz Solution Architects have proven experience with leveraging a Snowball Edge device for transferring huge datasets to the AWS cloud. You can hookup a Snowball Edge device to your on-premises database, extract data and upload data to the Snowball Edge and send it back to Amazon for completing the data import process during your data warehouse migration to AWS. |
Getting started
At ABCloudz, we have a set of entry-level offers to help you understand your modernization landscape. We also can demonstrate you the value of moving Netezza, Teradata, Vertica or Greenplum data warehouses to Amazon Redshift.
We can help you choose the best option for migrating data warehouses to AWS, as well as modifying the architecture of your entire system by adding the latest business intelligence and advanced analytics solutions.
General approach to migration of data warehouses to Amazon Redshift
The following video provides an overview on how to migrate your Oracle, Teradata, Greenplum and Netezza data warehouses to Amazon Redshift using the AWS Schema Conversion Tool. The video also covers how AWS SCT provides guidance on creating the appropriate sort and distribution keys for you based on query statistics and runtime query statistics from the source database.
Supporting your AWS data warehouse solutions after the migration
Please check out the sample of our services to support your AWS data warehouse solutions after the migration.