Posts

Showing posts from January 4, 2016

Technical FAQs on Hadoop, Spark and other big data technologies

Connectikpeople recalls that, Hortonworks has launched HortonworksCommunity Connection (HCC), an online collaboration destination for developers, DevOps, customers and partners to get answers to questions, collaborate on technical articles and share code examples from GitHub. 
Connectikpeople observes that, Hortonworks Community Connection currently hosts thousands of technical articles and FAQs on Hadoop, Spark and other big data technologies contributed by Hortonworks engineers and other technical experts.

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.