The business data spread across different geographies and/or run on silos at enterprise level can lead to losing business edge. The integration of all these data can give unknown insights that can help your business to grow which was imputed due to its silo nature so far.
The convergence of data from different business units can be warehoused on big data environment so that the enterprise level analytics can be derived out of this. Given the low cost infrastructure involved in implementing the big data services, this action can help the business far more good compared to not being on the big data road map.
We, at CATT Ltd provide data convergence services to perform the following operations:
Due diligence of existing data bases, data sources, data formats
Gap analysis on as-on and to-be data landscape
Big data environment and data design
Data ingestion strategy and design
Data transformation requirements analysis and implementation
Big data Mart/warehouse building
Warehouse evolution strategy
Big data sqoop can be used to extract data from non-Hadoop data stores, transform the data into a form usable by Hadoop, and then load the data into HDFS.