SAS to Spark

Automated

Migration

Solution

SAS to PySPARK CONVERSION

innovation in code conversion

With more than 60% of IT departments removing legacy systems to modernize and reduce costs, we saw a need to automate SAS to PySpark code conversion.

SPROCKET is an Enterprise grade SAS to SPARK migration solution trusted by customers worldwide.

Why Apache Spark ?

  • a unified data science engine with unparalleled data processing speed and performance @100X+ faster than legacy
  • the most actively developed open source engine for data science, with exceptional innovation in ML, AI and NLP
  • known for its modularity, ease of use, and extensibility
  • scalable and agile libraries of well-documented APIs with following core component modules:
    • Spark SQL
    • Spark Structured Streaming
    • Spark MLlib
    • GraphX
  • combines all above workloads running on one single engine

 What should you expect?

  • innovate more with your data at a fraction of the cost
  • attract & retain talent working with the latest in data science technology
  • extract more from your data – both structured and unstructured – address new demands unlike ever before

Experts in Apache Spark

WiseWithData consults and advises clients on world-leading open-source options to achieve efficient digital transformation.

We innovate with open source technologies everyday helping clients get the most out of their data.

Our versatile team of data scientists work with these values top in mind:

  • Strive for creative excellence, and deliver automated solutions that are simple & easy to deploy
  • Deliver & show value early, then scale to complete and achieve objectives
  • Act with respect, integrity, and commitment while maintaining a focus on environmental sustainability

 

 Meet SPROCKET

 

Fast, Simple, Accurate

SAS to PySPARK MIGRATION

 

SPROCKET

SEARCHPARTY

INVENTORIES & PRIORITIZES

SAS PROCESSES

 

        • Delivers a metadata rich report detailing all SAS processes across your organization

        • Includes SAS process activity, complexity, volume, needed to develop a migration strategy, plan, schedule

        • Prioritizes your most critical SAS processes as we build your migration strategy, plan and schedule

SPROCKET

ROBOT

SAS TO PYSPARK AUTOMATED

CODE CONVERSION

 

        • Automates SAS to PySpark code conversion

        • Converts code & stack to open source Apache Spark in months vs years

        • Deliver production ready code to accelerate analysts performance

 

  SPROCKET

  VALIDATOR

ACCELERATES UA TESTING &

QA VALIDATION​

 

    • Accelerates user acceptance and quality assurance validation

    • Provides comprehensive validation of all data values in a table:

        • Row by row

        • Column by column

Complete

Automated

Migration

Solution

HOW IT WORKS…

First, SPROCKET SearchParty will identify and prioritize your most critical SAS processes for conversion. A complete inventory & categorization of your SAS processes will be provided in a metadata rich report.   This report will help build your migration strategy, plan and schedule.

Second, SPROCKET Robot will automate your code conversion from SAS to PySpark.  its fast, simple & accurate. it will save you months if not years of manual effort.

Third, SPROCKET Validator will automate the user acceptance testing & validate the migration of code in PySpark.

SPROCKET PACKAGES

A complete solution delivered As a Conversion as a Service

REQUEST A DEMO

Office

99 Bank Street, Ottawa, ON

Hours

M-F: 8am – 5pm
S-S: Closed

Call Us

(343) 488-2084

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 at hello@wisewithdata.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