FAST, SIMPLE, ACCURATE
SAS TO SPARK MIGRATION
The world’s only fully automated SAS to Spark migration solution
Identifies, inventories & prioritizes your SAS processes
- Delivers metadata rich report that inventories all SAS processes across your organization
- Report details SAS process activity, complexity, volume etc; to be used to inform migration strategy, plan and schedule
- Enbales prioritization of your most critical SAS processes to maintain business priorities
SAS to PySpark code conversion – Exponentially faster over brute force
- Automated SAS to PySpark code conversion
- Converts code & stack to open source Apache Spark in months vs years
- Improves data science / analysts performance 5X
Accelerates user acceptance testing & QC validation
- Accelerates user acceptance and quality assurance validation
- Provides comprehensive validation of all data values in a table:
- Row by row
- Column by column
The SPROCKET SAS To Spark Migration Solution
Is your business ready to ditch your arcane and proprietary analytics platform developed in the days of punch cards? Are those insanely expensive renewal costs driving you crazy? Does your organization need an analytics platform to provide better functionality, usability, performance, and scalability? Ready to make the switch to Apache Spark, but have lots of legacy SAS code critical to your business?
Performing in-house SAS to Spark conversions is costly and time consuming, with no guarantee of a positive outcome. Why develop skills in-house, when the ultimate goal of that skill is to make itself obsolete? That’s why WiseWithData is proud to be the world’s first and only comprehensive solution for migrating SAS based ETL and analytics jobs into the modern world of Apache Spark.
Our decades of knowledge and expertise with SAS and PySpark, combined with nearly 5 years of focused development have forged SPROCKET, the world’s most advanced code conversion engine. SPROCKET automates conversion of most SAS code patterns to PySpark. Fast, simple and accurate, SPROCKET is the best way to transform and modernize your old SAS analytics and data processes. Your converted PySpark code maintains its original structure and workflow, with a nearly line-by-line conversion, simplifying testing and knowledge transfer.
SPROCKET delivers exceptional benefits such as:
- Unmatched code consistency and quality
- PEP8 compliant code style
- Rapid delivery and testing
- Accurate delivery timelines
- Consistently accurate end-results
- Integrated performance optimizations for improved run-time performance
- Incorporation of SAS language concepts – lowering the learning curve for existing SAS users
Start your free trial today by contacting us @: email@example.com.
Why Switch To PySpark?
Apache Spark is now the de facto analytics platform in the market. It has superior functionality to SAS for data science, data engineering and analytics uses.
PySpark (the Python API for Spark) is simple, flexible, and easy to learn. Python is a high level language which produces simple easy to read code. The Python language provides a scripting language for building reusable processes (similar to SAS Macro’s), while the PySpark API provides all the necessary data manipulation, ETL, and analytical tools comparable to data steps and proc’s.
Key benefits of moving from SAS to PySpark are:
- Elimination of SAS renewal costs and licence restrictions
- Vastly improved performance – 100X+
- Scalability, Fault Tolerance and High Availability
- Developer availability – 10x more Python programmers
- Easy to use Cloud platforms (Databricks, Azure HD)
- Access to the vast array of relevant Python libraries
- Seamless integration with the latest machine learning and analytical algorithms
- Handle structured and unstructured data (no 32KB limit)
- Complete documentation & active user community
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