Our engineering incorporates the latest in-memory Big Data technology, delivering high-performance execution of ETL code. This Hadoop-based technology has built-in resilience and concurrency, and can run off both directly programmed code or UI-based configuration instructions. It scales linearly on commodity nodes, and therefore meets any volume requirements no matter how gargantuan the feed.
More often than not, data integration projects fail on lack of emphasis on metadata management and executive-sponsored data governance. All data sources are backed by a rich set of metadata, which captures data context (schema, format, semantics, etc.) and data lineage (origin of data and processing steps applied during transfer).