With its many applications and available presentation frameworks, the Microsoft Windows desktop can enable enterprise-wide business intelligence tools providing query, analysis, and reporting in a common and familiar environment. However, integrating the desktop, particularly to .NET, can be challenging, especially when cross-platform interoperability to Apache Hadoop running on Linux platforms is a requirement. Cross-platform interoperability technologies must not only be flexible and robust, they must also maximize ease of development and enable minimum time to deployment, particularly where silos of expertise for Hadoop/Linux/Java and Windows/.NET are present, but separate, in the enterprise. This session will look at current cross-platform technologies-both open source and third-party-in relation to design requirements, architecture and implementation. Using the available interoperability technologies with the current APIs in the Hadoop stack for HDFS, HBase and Hive, the paper will place emphasis on the integration ease, required expertise, robustness and life cycle management necessary for the enterprise to deploy custom desktop front-ends for Hadoop.