Cask Enterprise Solutions

CDAP, the first unified integration platform for big data, and its extensions Cask Hydrator and Cask Tracker, are 100% open source, Apache 2.0 licensed, distributed, application frameworks for delivering solutions on Apache Hadoop and Apache Spark. By standardizing and integrating the underlying infrastructure technologies and providing simple and easy-to-use APIs and a graphical UI, Cask enterprise solutions simplify design and operations of data lakes and complex data applications in the cloud or on-premises.

Data Lake

Building a data lake requires delivering a reliable, repeatable and fully operational data management system -- including ingestion, transformations, and distribution of data. Cask enterprise solutions provide a broad set of ecosystem integrations for runtime, transport and storage including MapReduce, Spark, Spark Streaming, Tigon, Kafka, and HBase. They also offer a comprehensive collection of pre-built building blocks to support data manipulation, data storage, and smarter end-to-end solutions.

Learn more

EDW Offload

The cost of maintaining a traditional Enterprise Data Warehouse (EDW) is skyrocketing as legacy systems buckle under the weight of exponentially growing data and increasingly complex processing needs. Hadoop provides solutions enterprises need: it significantly reduces storage and compute costs, freeing up processing times and storage in the Data Warehouse, and increases the ability for IT organizations to meet SLAs.

Learn more

Customer 360

Companies are using an increasing array of tools to develop this Customer 360 view, including social media listening tools to gather what customers are saying on sites like Facebook and Twitter, predictive analytics tools, CRM suites and marketing automation software. Cask simplifies building end-to-end data pipelines, including ingesting, blending, and aggregating data from varied source feeds, leveraging easy-to-use programmatic abstractions and visual interfaces.

Learn more

Real-time Analytics and IoT

Businesses must gather data in real-time, transform it for usability, and analyze it on-the-fly to deliver results. Building and managing real-time analytics solution are complex, costly, and time-intensive. Cask enterprise solutions provide higher level abstractions and a drag-and-drop interface combined with the latest technology for streaming makes it easy to develop real-time analytics application.

Learn more

CDAP for Spark

With so much data being processed by enterprises everyday, it’s essential to stream and analyze it in real-time. Apache Spark provides a framework for advanced analytics right out of the box, including a tool for accelerated queries, a machine learning library and a streaming analytics engine. Its pre-built libraries are easier and faster to use rather than having to implement these analytics via MapReduce, which requires specialized skills.

Learn more

Download
CDAP Datasheet

Download
CDAP Extensions Datasheet

Download
Cask Solution Brief

Want to see Cask solutions in action? Click the button to request a demo >>