1 / 7

Raven: Datametica’s Automated ETL & Code Conversion Tool for Faster Migration

Datameticau2019s blog explains why migrating workloads to the cloud requires more than moving data; poorly optimized legacy code can slow performance and drive up costs. Manual reu2011engineering is slow and erroru2011prone, so Datametica created Raven, a code conversion tool that automates SQL, script and ETL transformations for cloud targets. Ravenu2019s automated ETL conversion capabilities translate complex SQL and ETL jobs into efficient, cloudu2011native equivalents while preserving business logic. The tool uses an internal canonical model to detect optimization opportunities, remove redundancy and handle e

Datametica
Télécharger la présentation

Raven: Datametica’s Automated ETL & Code Conversion Tool for Faster Migration

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Raven: Boosting Performance of your Data Migration with Automated Code Optimization By Datametica April 12, 2023 Blogs Home » Blogs » 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-?rst era, moving to the cloud quickly is the best ?rst 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.  Reject All Accept All We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept”, you consent to the use of ALL the cookies. Privacy Policy Do not sell my personal information. Cookie Settings

  2. 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 dif?culties 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 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, identi?cation of projection pruning, etc. optimization, a script is generated. migration by common Following sub-parts, model The canonical model facilitates the identi?cation of various optimization patterns. It has an inbuilt set of pattern identi?cation rules that are applied to the generated model to determine if any of the patterns are matched. If so, the model is modi?ed to generate a new canonical model that is optimized. This process is repeated until all identi?cation patterns have been addressed.

  3. 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 identi?ers in the target environment. Moreover, in the context of work?ow and mapping, owing to the setup of the source system, some of the procedures are performed in multiple steps. Raven identi?es 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, work?ow, and target-aware complete data lineage awareness during code conversion, elimination of job redundancy, and so much more make Raven the superhero of code transformation! optimizations, Now, your data migration journey is ready for a boost…

  4. 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-ef?cient while improving accuracy and lowering risks.  Datametica is a leader in data migration and warehouse modernization, 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. helping many FAQs What is code optimization? What is code refactoring for cloud migration?

  5. Does code optimization improve system performance? Recommended for you  View More Case Study KYC process automation using AI/ML model Blog Steps To a Successful Cloud Migration Blog Why Data validation is important in data migration? subscribe to our blog Email address

  6. Subscribe let your data move seamlessly to cloud Contact Us One Comment Pingback: Data Migration with Automation | Boost Performa... Quick Links About Careers Empowering businesses by migrating their data/workloads/ETL/analytics to the cloud. We are truly ‘Giving Data Wings’. Blogs Case Studies Contact Us Our Partners Products Address Eagle

  7. 3500 Western Ave, Suite 2D, Highland Park, Illinois 60035- 1263 Raven Pelican 1 North Bridge Road, #10-06, High Street Centre, Singapore 179094 Jubilee Business Centre, 211 Kingsbury Road, Kingsbury, London, NW9 8AQ Migration to GCP Our Solution Teradata To BigQuery Data Warehouse Migration Netezza To BigQuery Data Platform Modernization Oracle To BigQuery Data Management Data Science & Advanced Analytics Migration to Azure Cloud Optimization Teradata migration to Azure Netezza migration to Azure Oracle migration to Azure © 2023 Datametica Solutions Pvt. Ltd. | Agency Partner Talkd | Privacy Policy | Code of Conduct | GDPR Compliance Statement | Terms Of Service | CSR Policy

More Related