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Case Study

Horeca

Data Science Solution

Horeca is a B2B data profile management company. Through this application, users are able to search, and communicate to business professionals’ profiles related to their business domains

Challenges

Client data access criticality
50 million records to manage
Search optimization issue
Full-text search capability providing
Azure cognitive search was too much costly for the client

Solution

  • Mass scale data generation with Dotnet cosmos DB app
  • Simulate the search problem in azure cosmos DB
  • Custom index with word parameters
  • Stemming and generalization of words

Impact

Average SQL-like query took 3000RU with our improvement it took only 34 RU for the main search and for data aggregation additional 1000RU was required. (RU->Request Unit)

Fetures

Technology

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