Cask Big Data Sandbox Available on AWS Marketplace

Cask Big Data Sandbox Available on AWS Marketplace

A new offering on AWS Marketplace allows users to test the flagship Big Data platform Cask.
The Cask Data Application Platform (CDAP) can be set up easily for testing and evaulation using the new Cloud Sandbox on AWS. This single-node instance provides functionally equivalent results, with the exception of scaling limitations.
The sandbox is based upon CDAP 4.2, which was released earlier in the month. It includes support for Apache Spark 2.x, better functionality for reusing Spark code for new applications, and other updates.
Cask stated that the new sandbox makes it easier to evaluate the platform as users don’t need to set up a Hadoop cluster in order to use it.
The AWS offering is essentially the same as the CDAP Local Sandbox, which runs on individual machines on-premises. It includes the CDAP SDK and runtime, CDAP CLI (command line interface), and tools and examples.
Cask stated that if the sandbox produces a production-ready app, it can be easily moved to a distributed CDAP environment like the Amazon EMR (Amazon Elastic MapReduce).
Derek Wood, a company spokesperson, stated that users can also access Cask Market via an instance that has many of the available capabilities to experience CDAP. “We have added several AWS-specific integrations and made them accessible in Cask Market — plugins that read from S3 buckets and plugins that read/write to Redshift, and a plugin that reads from Snowflake.
Jonathan Gray, the CEO of the company, also spoke out, saying that “It is not secret that many companies have had a difficult time extracting value from Big Data investments.” Even experienced Hadoop engineers can be difficult to onboard, set up a distributed computing environment and integrate multiple Big Data technologies and tools. This has impacted the speed at which users can ramp up their Big Data projects. CDAP users will be able to quickly develop Big Data solutions with the Cloud Sandbox and not have to worry about configuration or installation.