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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