Benefits of the Impetus Workload Transformation Solution


The Impetus Workload Transformation Solution helps simplify the intimidating task of data warehouse modernization. It accomplishes this simplification through immense experience that it has gained from large scale enterprise transformation projects. The solution boasts of strong automation capabilities aimed at delivering the fastest and most reliable transformation by migrating Ab Initio ETL graphs to the cloud data lake automatically. Any obstacles to Spark adoption can easily be removed using the solution in 3 easy steps:

1.      Automated legacy code transformation in which the legacy graphs are automatically transformed with the industry’s first intelligent transformation engine.
2.      Automated validation framework to validate transformed ETL graphs.
3.      Execution that helps customers execute their Ab Initio in their standard cloud environment.

The solution helps convert, assess, validate and execute complex data transformation and analytical workloads from legacy data warehouse systems to modern data warehouses such as Hive, Spark, Talend, Scala, and Informatica, etc. It helps IT leaders to get instantly started on their digital transformation journey by giving access to a sophisticated grammar engine that translates complex functions such as ‘updates’ and ‘merge’.

Benefits of the Impetus Workload Transformation Solution:

The Impetus Workload Solution possesses the ability to transform your Ab Initio ETL graphs to the cloud, hybrid or on-premise with speed, reliability, and minimal hand-coding. It acts as a great alternative to Ab Initio and delivers a swift, risk-free adoption of cloud technologies. It makes the transformation process easier by offering:

·         Reduced human intervention
·         A multi-modal engine that makes it future-ready
·         Support for Ab Initio 2.x and 3.x
·         Compatibility with most enterprise schedulers
·         Support for multiple code orchestration and management tools

Other benefits of Impetus Workload Transformation Solution include:

·         Reuse of all existing investments
·         Fast and reliable end-to-end EDW transformation
·         Automatic transformation of decades of efforts in 12-20 weeks
·         Reduction in development, testing, and validation effort
·         40-60% savings and fast time to value
·         Decreased risk and uncertainty
·         Maximization of ROI
·         An efficient strategy to migrate as is or total reengineering
·         Experience-based benefits of serving to more than 100 fortune companies
·         Meeting performance SLAs

The solution makes the process simple with a 4-step approach:

Assessment:
  • Self-service data-driven assessment
  • Big data platform optimization recommendations
  • Recommendations for target query engine  and off loadable entities
  • Blueprint for your EDW transformation journey
Transformation:
  • UI-driven, single-click transformation
  • Data structure optimization
  • Performance prediction of transformed queries
  • In-built UDF library that fills technology gaps in the target
  • Notebook-based manual editing of queries
Validation:
  • Verification and certification of data and migrated schema
  • Custom query-based validation
  • Semantic and syntactical validation of converted scripts and logics
  • Detailed reports
Execution:
  • The transformed scripts are executed on any standard big data environment
  • Detailed reports
  • Output artifacts:  Java, SQL, Shell, Scala, Python

Along with workload transformation, the company is renowned for offering data lake management solutions as well.

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