Raven: Boosting Performance of your Data Migration with Automated Code Optimization

Every organization wants to become more agile in order to innovate and respond to changes more quickly. In this digital-first era, moving to the cloud quickly is the best first step toward modernization and transformation. However, moving all your on-premise data to the cloud comes with its share of challenges – data loss, data security, data integration, and many others. To overcome such challenges during the whole migration process, the code translation to the target platform must be well-established and frictionless. 

Depending on the complexity of the database, table linkages, and active tables, traditional approaches for uploading enormous amounts of data are time-consuming. It might take years and an army of people to manually refactor a system, resulting in a high likelihood of code duplication. This leads to unoptimized code, which can have a substantial effect on the migration process as a whole. 

Unoptimized code often results in increased (and complex) infrastructure and processing expenses, poor performance in the cloud resulting in slow response time and a poor user experience, security vulnerabilities, scalability issues, and maintenance and update difficulties in the cloud. In addition, manual conversions lack standards and rely heavily on employees with knowledge of both the legacy and target system technologies.

This is where Datametica’s Raven steps in!

Datametica’s Raven, an automated transpiler tool, automates the migration of large volumes of code (SQL and ETL scripts) to the cloud with almost no errors. Wondering how? Well, with the help of its canonical model, a one-of-a-kind Datametica model that helps businesses in automating the code optimization process. The canonical model generates results based on its understanding of the source script and the target environment and the memory structure created by Datametica. Raven’s automated ETL conversion feature facilitates code optimization during code/script migration by accelerating the process and implementing best practices such as standardization, scalability, and error handling. Raven utilizes multiple techniques for code optimization, including predicate push-down, identification of common sub-parts, projection pruning, etc. Following model optimization, a script is generated.

The canonical model facilitates the identification of various optimization patterns. It has an inbuilt set of pattern identification rules that are applied to the generated model to determine if any of the patterns are matched. If so, the model is modified to generate a new canonical model that is optimized. This process is repeated until all identification patterns have been addressed.

Through code optimization, users can eliminate performance redundancy across the entire process. In addition to minimizing redundancy, performance can be enhanced with greater optimization due to improved information compared to the source system, resulting in code that is more modularized and easy to understand. The best feature is that the entire process is automated and no manual processing is required! The canonical model, therefore, serves as a foundation for code optimization with Raven.

⚠️ [NEWS]: Raven is available for users on the Google Cloud Platform Marketplace from 1st March 2023!

Raven is capable of much more

Another feature that makes Datametica’s Raven one-of-a-kind is its equivalence feature – it enables equivalent identifiers in the target environment. Moreover, in the context of workflow and mapping, owing to the setup of the source system, some of the procedures are performed in multiple steps. Raven identifies these steps and collapses them into a simple single step. Consistency and syntactically optimized generated code and scripts, cost and time savings owing to SQL, expression, workflow, and target-aware optimizations, complete data lineage awareness during code conversion, elimination of job redundancy, and so much more make Raven the superhero of code transformation!

Now, your data migration journey is ready for a boost…

The code optimization stage is critical during data migration and until now it has been a challenge to do it effectively. Datametica’s Raven has helped many organizations streamline and automate their migration, making it faster and cost-efficient while improving accuracy and lowering risks. 

Datametica is a leader in data migration and warehouse modernization, helping many organizations to seamlessly migrate data to the cloud using its state-of-the-art migration suite. Now you can leverage the power of Raven on Google Cloud Marketplace and other automated migration suites for a frictionless transition to the cloud.