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Data Management: Distributing Data Analysis Using a Hub-and-Spoke Architecture
A “Hub and Spoke” architecture for managing data can help organizations become more efficient in analyzing and accessing data while simultaneously breaking down data silos.
Brian Hopkins, Forrester analyst, told InformationAge that “yesterday’s correct data architecture involved centralized warehouses, marts, operational data stores, and a lot of [extract, transfer and load] ETL. Because data warehouses were expensive, building one and forcing all data into it was a logical approach. With the maturing of data warehouse appliances, this need has disappeared. Hub-and-spoke … features rapid analytics and extreme-scale operations on raw data in an affordable distributed data hub. Firms that get this concept realize all data does not need first-class seating… We present hub-and-spoke data management not as an immediate prescription for all but as a logical vision for the future that firms must understand. We think most large enterprises will need some or all of these concepts within the next three to five years to stay competitive, so enterprise architects must begin strategy work now. “
April Reeve, advisory consultant at EMC, said that “hubs of data significantly simplify the problem of managing the data flowing between the applications in an organization. The number of potential interfaces between applications in an organization is an exponential function of the number of applications. Thus, an organization with one thousand applications could have as many as half a million interfaces, if all applications had to talk to all others. By using hubs of data, an organization brings the potential number of interfaces down to be just a linear function of the number of applications.”
Brian Buzzelli, Nomura Securities Data management head, agrees with Hopkins, saying that “Platform consolidation and implementation of a hub-and-spoke model of bringing data into a hub reference data architecture or platform, then having spokes feed and distribute data throughout the firm to downstream systems, are mature data management models. The new frontier appears to be moving the reference data hub’ into the reference data ‘cloud’.”
