đź”—CDAP Documentation v3.5.3

The Cask™ Data Application Platform (CDAP) is an integrated, open source application development platform for the Apache Hadoop® ecosystem that provides developers with data and application abstractions to simplify and accelerate application development, address a broader range of real-time and batch use cases, and deploy applications into production while satisfying enterprise requirements.

CDAP is a layer of software running on top of Hadoop platforms such as the Cloudera Enterprise Data Hub, the Hortonworks® Data Platform, or the MapR Distribution. CDAP provides these essential capabilities:

  • Abstraction of data in the Hadoop environment through logical representations of underlying data;
  • Portability of applications through decoupling underlying infrastructures;
  • Services and tools that enable faster application creation in development;
  • Integration of the components of the Hadoop ecosystem into a single platform; and
  • Higher degrees of operational control in production through enterprise best practices.

CDAP exposes developer APIs (Application Programming Interfaces) for creating applications and accessing core CDAP services. CDAP defines and implements a diverse collection of services that support applications and data on existing Hadoop infrastructure such as HBase, HDFS, YARN, MapReduce, Hive, and Spark.

These documents are your complete reference to the Cask Data Application Platform: they help you get started and set up your development environment; explain how CDAP works; and teach how to develop and test CDAP applications.

It includes the CDAP programming APIs and client interfaces, with instructions on the installation, monitoring and diagnosing fully distributed CDAP in a Hadoop cluster. CDAP extensions provide additional capabilities, such as Cask Hydrator and Cask Tracker.

  • Administration Manual:
    • Installation: Putting CDAP into production, with installation, configuration and upgrading for different distributions
    • Security: CDAP supports securing clusters using a perimeter security model
    • Operations: Logging, monitoring, metrics, runtime arguments, scaling instances, resource guarantees, transaction service maintenance, and introduces the CDAP UI
    • Appendices: Covers the CDAP installation and security configuration files
  • Integrations:
    • Cloudera: Integrating CDAP into Cloudera, using Cloudera Manager, running interactive queries with Impala, and bridging CDAP Metadata with Cloudera's data management tool, Navigator
    • JDBC: The CDAP JDBC driver, included with CDAP
    • ODBC: The CDAP ODBC driver available for CDAP
    • Pentaho: Pentaho Data Integration, a business intelligence tool that can be used with CDAP
    • Squirrel: SquirrelSQL, a simple JDBC client that can be integrated with CDAP
  • Glossary: Definitions of terms and phrases used in CDAP
  • Search: Search this documentation using Quick Search
  • CDAP Extensions:
    • Cask Hydrator: Creating data pipelines without writing code, including details on developing and packaging custom plugins
    • Cask Tracker: A CDAP extension that captures metadata for datasets, streams, and stream views