![]() They will ask for money upfront, with no guarantee about success or quality. Despite the lies and hyped claims, none will guarantee feature coverage, and more importantly they will not even disclose what isn’t covered by their product. One recent fly-by-night vendor, constantly has to lie about its capabilities. Their generated code is often so messy, inconsistent and verbose its difficult to even understand how it relates to the original SAS code. These tool vendors also use low-skilled low-cost labour internally, labour who don’t understand the source or target platform. Reputable vendors only bill on validated quality results. If they truly have automation, why do they need low cost labour? They will also bill you regardless of quality or outcome, which is wrong. In reality, these systems integrators just ship your code off to low-cost, low-skilled off-shore sweatshops to be manually converted. They often sell their wares to less reputable systems integrators, who want to claim they have automation. They ask you to Pay for the tool first and Pray that it will work for your code. Over the years WiseWithData SPROCKET has inspired a number of copycat tool vendors. Apache Spark is the most modern unified data science platform available with the ability to run models and analytics programs 100’s of times faster over legacy systems like SAS, MapReduce, or R, and it can scale to any size of data. Performance may have netted Spark an initial following among the big data and analytics crowd, but the ecosystem and interoperability is what continues to drive broader adoption of Spark today. Simply put, there is no easier migration to Cloud than with Spark. Most of the global Cloud Service Providers use Spark to handle big data in their cloud. Apache Spark offers 100X+ greater data processing performance and is open source, hosted at the vendor-independent Apache Software Foundation. Scalable & fault tolerant, it’s become the defacto analytics platform in the market, with performance and capabilities that far surpass that of traditional platforms (SAS, IBM etc.). ![]() It offers an open source, wide range data processing engine with revealing development API’s. ![]() Apache Spark and PySpark (the Python API for Spark) is a fast and general-purpose cluster computing platform. ![]()
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