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    Day 1


In today’s market property buyers and renters demand more then just real-estate information – they want to know all about home location.

This poses 3 type challenges for data provides:

 Accumulate and combine data from various sources (general neighborhood information, school quality, ease of commute, crime scores, proximity to shopping centers, etc)

  1. Utilize both static and real-time listing data
  2. Provide high data quality.

This session will focus on building pipelines with Spark to address these and other challenges.   

Associated Speakers:

Michael Berkovsky

Senior Big Data Engineer


Associated Talks:

04:20PM - Day 1

View Case Study: Big Data In Real Estate

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