Databases Reference
In-Depth Information
Big data represents many things. For some, it's the technology we use to store,
retrieve, and manage petabytes of data that we create each day. For many in enterprise
technology, big data means using sophisticated techniques to analyze the large and
growing volumes of transaction data in order to improve business decision making.
In big data and analytics scenarios, instead of being constrained to just intra-domain
customer hierarchy dimensions following traditional MDM implementation styles, we
will need a multi-domain MDM approach to view transactional data and external data
entities through different data domain relationships (as shown in Figure
5-8
). Sales could
analyze data by customer, territory, and geography. Marketing could see the evolution of
the buying process by campaigns, social media interactions, and click- stream analysis;
finance can get a view across suppliers and sales, and marketing can also get an insight
into the brand reputation and sentiments by looking at external data.
Figure 5-8.
Big data: MDM multi-domain interaction
Figure
5-9
illustrates a big data tool: MDM integration logical architecture.
The focus of this architecture is to illustrate the various components in an enterprise
data management landscape and how they interact or leverage MDM implementation
integrating with business systems across the enterprise including big data platforms.
The master data management services and information integration services are
fundamental to multiple master data domains such as product, customer, supplier,
account, and location.
