Enterprise Data Hub Implementation

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Client challenges

Project scope

Our client is a full-line sporting goods retailer offering a broad assortment of brand name sporting goods equipment, apparel, and footwear in a specialty store environment. The client wanted to shorten run times for multiple workflows.

Solution

Data Migration

Datametica designed and built the Enterprise Data Hub for this client, the scope involved:

  • Sourcing data from multiple data stores
  • Tables were sourced into Hadoop
  • Provide data feed to downstream systems like SAS
  • Migrate SAS jobs to run on Hadoop
  • Migrate batch jobs to PIG running on Hadoop
  • Implement new scheduling system

Benefits

scalability
Improved platform responsiveness

 

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No ETL

Eliminated the ETL process and the associated wait time for ETL setup or change

 

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Simplifying

Simplifying the data movement architecture

 

 

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Data Hub architecture

Source data once – reuse many times

 

 

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No data latency

Eliminate data latency for analysts

 

 

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Data Access

Data access for analysts within minutes of data creation

 

 

costsavings
Cost effectiveness

Reduced costs

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