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.
Redshift does not support stored procedures
Often business logic and ETL processes are written as stored procedures in the source data warehouse
Our team has developed patterns for migrating stored procedure code using the AWS Glue ETL service on a regular basis. Check out the following video to see how we did this for Teradata’s stored procedures written with their BTEQ script to perform the same functionality using AWS Glue.
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, 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 AWS Redshift or Aurora database. Normally, it would take up to several weeks for extracting and migrating such databases over the internet. DB Best has worked with Amazon in exposing a Snowball Edge configuration option in the Schema Conversion Tool. With this feature, 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.
DB Best Architects are trained to help you configure and extract your data to the Snowball Edge, helping you complete the data transfer much faster.
At DB Best, we have a set of entry-level offers to help you understand your modernization landscape and demonstrate the value of moving your Netezza, Teradata, Vertica or Greenplum data warehouses to Amazon Redshift. We can help you chose the best option for data warehouse migration to AWS, modifying the architecture of your entire system to add the latest business intelligence and advanced analytics solutions.
Trust the experts with the best knowledge of AWS DMS and the Schema Conversion Tool (SCT) to help move your on-premises databases to AWS RDS, Amazon Aurora, and Amazon Redshift.
Everybody is talking about the need for a digital transformation, but how do you get there? See how our future-state architecture design can use cutting edge technology to meet your organization’s needs.
Discover best practices to take advantage of Amazon Redshift's columnar technology and parallel processing capabilities, improving data warehouse performance.
Do you like what you see? Please contact us today to see how we can get started!
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.
Data Integration Support
Like most organizations running with an existing enterprise data warehouse solution, you have a substantial investment in data integration software for extract-transform-load (ETL) processes. We have you covered when it comes time to migrate these packages to Redshift. Here is an example of the key data integration platforms.
See how we can orchestrate the transformation of your data, leveraging simple, flexible, and cost-effective AWS Glue ETL service.
Configuring Amazon Data Pipeline web service, you can process the data that was locked up in on-premises storages and then efficiently transfer the results to different AWS services.
We can help you get the most out of Oracle Golden Gate and facilitate real-time data integration, replication, transformations, and verification in heterogeneous IT environments. So you can have an extreme performance with Oracle Database integration and support for cloud environments.
Using Informatica solutions we can integrate your data from existing on-premises systems to the cloud, big data, and IoT systems smoothly and cost-effectively. Our solution architects will migrate the data accelerating time to value for your business goals.
We leverage a high-performance parallel framework on-premises or in the cloud with improved speed, flexibility and effectiveness to build powerful data integration infrastructure. Utilizing big data and Hadoop we help our customers more efficiently access new data sources.
We offer a fast and cost-effective way to connect, clean and share cloud and on-premises data using the architecture that easily scales to respond to growing business requests.
Our developers can flawlessly replicate your data between different types of databases with handling any data changes. So your data never be missed. We also can simplify the ETL process and automate the manual procedures of data warehouse development to improve performance and cost.
Put our Microsoft SQL Server Integration Services experience to use for seamless data extraction, transformation, and loading operations of any complexity.
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.
Operational Data Management
Are your DBA's stretched thin? Offload your IT needs to a dedicated team with industry-proven processes and world-leading tools and products
Our DevOps services introduce cultural changes, best practices, and new technologies to improve collaboration between business, development, and operations to create an agile application development lifecycle.
Looking for a reliable partner who knows both application development and data platform migration? We have the people, process, and products to help you move to the cloud or migrate to new platforms.
AWS Business Intelligence Solutions
Take advantage of AWS Business Intelligence capabilities and extend your data analytics to the cloud. See how DB Best can build BI solutions for manufacturing, retail, healthcare, financial services, government, and more.
Check out the database consulting services we have used to help customers like you get the most out of their database platform.
We'll take your initial app concept and turn it into a beautiful and functional web, mobile, desktop, or Internet of Things solution. Covering the full cycle of software development with optional 24/7 monitoring and support with our new solution services.
We have a great set of blog posts and data sheets to help you better understand our capabilities as the leader in database migration services and showcase our expertise in moving Netezza, Teradata, Vertica or Greenplum data warehouses to Amazon Redshift.
Using AWS Snowball Edge to transfer multiple terabytes of data into the Amazon cloud
Loading Amazon Redshift Data Utilizing AWS Glue ETL service
AWS Schema Conversion Tool: General Approach to Migration of Data Warehouses to Amazon Redshift
AWS Schema Conversion Tool: Specific Features of Migrating Data Warehouses to Redshift
Extracting Data from Warehouses with Data Migration Agents in AWS Schema Conversion Tool
Optimizing your Redshift Storage with AWS Schema Conversion Tool
Database Compare Suite 4.5 Released — Amazon Redshift and SQL Server 2000 support
Database Compare Suite update 4.11 with Vertica Analytics Platform support
Using Amazon Redshift performance tuning tips to reduce query times by 800%