Teradata Listener

Teradata Loom enables data analysts and data scientists to easily find, access, and understand data in Hadoop. Loom quickly start with data analysis to accelerate the time from data acquisition to delivering business insights and enables highly exploratory, iterative interactions with the datasets to quickly prepare the data for meaningful statistical analysis. The Loom workbench is a simple browser based, intuitive user interface accessible in a self service fashion by multiple users in the organization.

Features include single, unified integrated platform from discovery to metadata management to data preparation, automated source discovery, metadata generation, and data profiling. Self service discovery and data cataloguing, agile data preparation for faster insights, audit trail for data provenance, maintain data lineage for datasets and extensible framework for external sources.

Teradata Loom is an integrated big data solution for effective data and metadata management on Hadoop, enabling rapid analyst productivity by making it easy to find, access, and understand data. Teradata Loom captures all kinds of metadata about data and processes across Hadoop, and provides a single, robust platform for data management, maintaining data lineage, and data preparation through metadata management.

Open RESTful APIs provide robust data access to the data and metadata on the Teradata Loom repository from external systems, bringing in an additional level of flexibility and extensibility to the already evolving big data architectures. Teradata Loom’s extensible metadata registry is automatically populated as new files are automatically scanned while they get loaded onto Hadoop.