The in-memory analytic capabilities of Spark and Spark at Scale for the Enterprise

The streamlined speed and flexibility are now indispensable in our connected world where vast amount of data is generated in real-time in each industry. Organizations need flexible capabilities to accelerate data science, maintain seamless data access and drive innovations.

Among powerful Bigdata technologies, Spark, Hive and Hadoop are increasingly at the core of stakes across all industries, when it comes to inter alia: deploy modern, Spark-based applications alongside Hadoop workloads in a reliable way.

So, Connectikpeople salutes the advancements of Hortonworks Data Platform (HDP™) with the in-memory analytic capabilities of Spark that can allow you to: combine the power of Big Data with the speed and flexibility of an ad hoc system; adopt Spark with Hadoop; deploy modern, Spark-based applications alongside Hadoop workloads in a steady way.