Cloudera joins hands with Hadoop Developer Cask

The America-based software enterprise known for providing software, support and services based on Apache Hadoop, Cloudera joins hands with a new startup known as Cask. The Cask is a producer of open-source application servers for Hadoop systems. In this evolvement, the Hadoop based software powerhouse, Cloudera declared an investment of unspecified equity with the Cask.
Clubbing up the open-source frameworks
By partnering with Cask, Cloudera aims to club together the Cloudera Enterprise Hadoop framework and the application server framework CDAP (Cask Data Application Platform). The theme of this partnership is to boost the market growth of Hadoop applications developed by Cloudera utilizing the much better ways provided by Cask to build and deliver those Hadoop applications.
Cloudera friendly CDAP already!
To acknowledge the partnership, Cask had already released a new version of CDAP (Cask Data Application Platform) which contains several modifications and optimizations to accommodate Cloudera Enterprise. This updated version of CDAP can be installed by the Hadoop developers from their Cloudera manager and launched in the development platform.
About Cask
Cask is probably less famous than Cloudera in the world of Hadoop. But, the Hadoop application server manufacturer led by former engineer from Facebook, Jonathan Grey is growing rapidly and has already attracted top investors around the world. With several forecasts projecting Big Data applications to be a crucial driver of market growth of business, Cask’s server application is a boon to induce the growth phase.
Organizations to adapt CDAP
While Cloudera is already popular among the enterprises for its excellent Hadoop software solutions, Cask is yet makes an impression in the market. But, accounting to the advantages and features in-built within Cask, the experts predicts that Cask would soon emerge as a successful brand in Hadoop industry. The rich ecosystem of Hadoop never ceased to gain significance for its distributed data processing, analysis, compliance and data security. When it comes with an added advantage from another Hadoop framework, it is surely a benefit of the organization. Thus, leading organizations across the world had pledged to provide adequate training on Hadoop developer framework with the Cask technology. Being an open source resource and in-built with plenty of flexible features makes these two Hadoop frameworks to slide along and innovate. Yet again, this integration signifies the growth of open-source frameworks and exhibits how the world is moving towards Big Data management.
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