Why APACHE SPARK?
Apache Spark is a fast and general-purpose cluster computing system. It offers an open source, wide range data processing engine with revealing development API’s. 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.). Apache Spark offers 100X+ greater data processing performance and is open source, hosted at the vendor-independent Apache Software Foundation. Most of the global Cloud Service Providers use Spark to handle big data in their cloud. Simply put, there is no easier migration to Cloud than with Spark.
Who is using APACHE SPARK?
Most of the Fortune 100, 500 and 1000 companies, including General Motors, Capital One, Amazon, Google, Microsoft, General Electric, BMW, Uber, Toronto Dominion Bank, HSBC, Bloomberg, etc, use Spark for its built-in libraries for data access, streaming, data integration, graph processing and advanced analytics and machine learning. This immensely performant, unified data science platform is being widely adopted globally with significant advantages being promoted by all in open source chat rooms and conferences.
Benefits of APACHE SPARK
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. 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.
Why should you care?
In the race to acquire top data scientist and data engineer talent, organizations can distinguish through the use of modern technologies like Apache Spark and Python Spark (PySpark). Organizations who innovate and collaborate in ML, AI and NLP technologies will lead in the global economy. Further, as organizations look to move to the Cloud, whether private, public or hybrid, Apache Spark offers the easiest way to migrate to the Cloud – along with being the most advanced unified data science platform – creating opportunities for collaboration and innovation with data like never before.