ETL Migrations & Maintenance
If you’re currently using the software that no longer meets your performance and scalability expectations or not that user friendly as you think it should be, let’s switch to a better option together.
Migrations from legacy to new ETL platforms (Oracle Data Integrator → Apache Airflow/ AWS Glue, SSIS → Data factory, etc.) is what our engineering teams just love to do.
DW Maintenance & Management
In case you opt for ELT, which is only to gain more momentum in time, you should consider investing in your DWH/DB capacities. As for ETL, although transformations do not happen within DWH, it is still an integral part of a successful process, too. We know all about data visualization, in-database analytics, massively parallel processing, in-memory computing, and more both for ETL and ELT approaches and cannot wait to share our insights with you.
Data Warehouse Automation
With advanced DWH automation practices in place, you can do more great analytics faster. DWH automation allows you to explore your source data deeper, manage metadata, scheduling, deployment and more.
As for us, our experienced teams know how to take advantage of test automation and easier DWH maintenance, which system automation guarantees. Less jobs for us to do, more value for you to gain.
Launch SSIS packages using out-of-the-box solution with ready integration.
Azure functions are available that allow launching custom ETL written almost in any language. Using Azure functions, we can write a middleware to work with the packages from other vendors.
Out-of-the-box solution allows converting SSIS packages to work in AWS Glue.
Lambda functions (Step Functions) are available that allow launching custom ETL written almost in any language. Using Step Functions, we can write a middleware to work with the packages from other vendors.
Create specific drivers for each tool you need (SSIS, Informatica, Astera, etc.). The data from all the systems is displayed in a standardized manner.
Systems and tools run as usual, while monitoring and control are implemented via a single common interface.
Whenever time permits, steps three to six can form a cycle, actually. Knowledge transfer -> Acceptance criteria preparation -> Acceptance criteria prioritization -> Business Feedback -> Knowledge transfer, etc. This is done so that our team is better prepared to work with your system on a long-lasting project implying vast software modifications.
To reinvent your legacy systems by incorporating ETL processes may seem too overwhelming. In reality, an experienced vendor can write ETL using almost any technology to be a match for your software. If you wish to use standardized tools like SSIS or Azure State Factory, go for it. Even off-the-shelf tools allow coding, and if the vendor can add their code to it, they should be able to do the integration you need.
Our team will get back to you promptly to discuss the next steps