Winning the On-Demand Economy with Spark and Predic9ve Analy9cs

Ankur Goyal, VP Engineering, MemSQL

Gartner BI March 20161

1 Deckset Plain Jane Black

We live in an on-demand economy

Consumers are condi.oned to instant services, like Uber, Stripe, and Airbnb

Where does that leave enterprises?

Racing to meet internal and external expecta1ons for speed and

personaliza,on

Batch processing is the enterprise enemy

Enterprises must move from overnight to

Real-&me, intra-day opera&ons

Because businesses need tomake every moment work for them

The key to harnessing data in real 1me?

A real-(me data pipeline with Apache Ka3a, Apache Spark, and an Opera(onal Database such as MemSQL

Massive Ingest and Concurrent Analy5cs• Instant accuracy to the latest repin

• Build real-5me analy5c applica5ons

• 1 GB/sec totaling 72 TB/day

Using Real-Time for Personaliza3on• Reach overlap and ad op/miza/on

• Over 60,000 queries per second

• Millisecond response /mes

MemSQL PowerStreamPredic'ng the global health of wind turbines

Dataset: 200,000 wind turbines, 20,000 wind farms

<$20,000 annual cost for AWS hardware

Let's build PowerStream

Move from a Real-Time Dashboard to Predic7ve Applica7ons

Ques%ons?Stop by MemSQL Booth #119