This document discusses real-time supply chain analytics using machine learning, Kafka, and Spark. It outlines four key requirements for real-time supply chain databases: supporting massive data ingestion, serving as a system of record while providing real-time analytics, integrating with familiar ecosystems, and allowing for online scaling. The document then introduces MemSQL as a database platform that can meet these requirements using an in-memory approach. It provides an example called MemEx that combines MemSQL, Kafka, and Spark with machine learning for global supply chain management and real-time predictive analytics.

1. Real%Time)Supply)Chain)Analy2cs)
with)Machine)Learning,)Ka=a,)and)
Spark
Ankur&Goyal,&VP&Engineering,&MemSQL
August&15,&2016

2. It's%no%secret%that%we%live%in%a%real1
2me%world

3. Tesla&claims&fully&autonomous&
vehicles&by&20181
1
"Source:"Fortune"Magazine"

4. Amazon'invests'in'drones'for'30'
minute'post4order'deliveries2
2
"Source:"Yahoo"Tech"

5. FedEx&breaks&record&with&317&
million&packages&shipped&over&
Christmas&20153
Includes)real,-me)tracking
3
"Source:"FedEx

6. Industry)Spotlight:)Supply)Chain)and)
Logis5cs
New$impera*ve$to$meet$real/*me$demand

7. The$path$to$advanced$analy/cs$is$clear

8. What%does%that%mean%for%Supply%
Chain%data%infrastructure?

9. Solu%ons(of(the(past(will(not(carry(
us(forward

10. Four%Key%Requirements%For%Real2Time%Supply%
Chain%Database
1. Support)massive)data)ingest)across)millions)of)devices)and)
connec6ons
2. Serve)as)the)system)of)record)while)simultaneously)providing)
real;6me)analy6cs
3. Respond)to)and)integrate)well)with)familiar)ecosystems
4. Allow)for)online)scaling)and)opera6ons

11. IN#MEMORY)makes)this)possible

12. MemSQL
The$Database$Pla,orm$for$Real2Time$Analy7cs

15. There%are%only%5%companies%on%the%
right%side%of%both%Magic%Quadrants
Oracle,(IBM,(Microso/,(SAP,(...(and(MemSQL

17. Now,%a%real*life%example%of%how%
advanced%analy6cs%can%improve%
Supply%Chain

18. MemEx:'IoT'Showcase'Applica5on
• Combines*MemSQL,*Apache*Ka6a,*and*machine*learning*with*
Apache*Spark*for*global*supply*chain*management
• Enables*enterprises*to*predict*throughput*of*supply*warehouses
• Processes*2*million*data*points,*based*on*2,000*sensors*in*1,000*
warehouses

19. MemEx&Architecture

20. Live%Demo

23. Thank&you!
Visit%MemSQL%at%booth%217
Follow%me%on%Twi+er%@ankrgyl