Data issues

• Bad coding (lazy loading) – Parallel foreach, Concurrent collections, CLR out of memory, garbage collection pauses https://www.eginnovations.com/blog/top-7-net-application-performance-problems/
• Db as bottleneck/Linq tolist/EF virtual
• Data table fill issues
• SSAS cube/ DataLake
• Spark SQL
• CAP and DB choices (from https://blog.grio.com/2015/11/sql-nosql-a-brief-history.html)
  
• Pipeline https://www.tutorialspoint.com/mongodb/mongodb_aggregation.htm
• Long running http://kurtzace.com/long-running-api-requests-ep5-by-karan-bhandari/
• Docket volume / Redis cache
• Rabbit mq
• Event grid
• Elastic search
• cognitive services (search/vision/audio)