Reduce strain on the data warehouse by offloading less frequently used data and corresponding transformation workloads to Hadoop without coding or relying on legacy scripts and ETL product limitations.
Create a single ‘refinery’ by streamlining structured transaction, customer, and other data through a scalable big data processing hub, using Hadoop for transformation.
Blend operational data sources together with big data sources to create an on-demand analytical view across key customer touch points. Gain powerful insights into buyers, brand, products and services.
Capitalize on the value of big data by easily accessing, enriching and processing data to be packaged and delivered as a new data service offering to external customers.
Streamline the delivery of information and establish a future-proofed data supply chain by creating a data integration pipeline that easily blends diverse data sources for complete business insight.
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