Enterprise Data Hub Implementation (Online, Sports Goods)

moderndataplatform

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 eliminate long-running workload and have run times with a fraction of the original clock-time.

Solution

Enterprise Data Hub

Datametica built the enterprise data hub for this client, the scope of which involved:

  • Sourcing data from multiple data stores
  • Sourcing approximately 480 tables data into Hadoop
  • Providing data feed to downstream systems like SAS

Benefits

scalable
Responsiveness
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No data latency

Latency in data is a thing of the past

tracking
Routine analysis

Analysis is routinely possible within minutes of data creation

operational
ETL not needed

ETL complexity is no longer needed

costsavings
Cost effectiveness
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Source only once

Source once – Reuse many times

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No waiting

Business user no longer have to wait for an ETL setup or change

magic
Tools / Technologies
  • Sqoop
  • Hive
  • Pig
  • HBas
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