Neustar at re:Invent 2014

On Thursday, Nov. 13th I was given the opportunity to speak at AWS re:Invent 2014 about the ad analytics products and platforms we’ve built on Redshift. My slides are available here along with what I said in the speaker’s notes.

I covered how to implement four classical ad tech queries:

  • Frequency – how many ads should I show each user?
  • Attribution – how much should I pay for each ad?
  • Overlap – where can I find these people for cheaper?
  • Ad-hoc – how can I empower my users to run their own custom queries?

I also discussed how to take maximum advantage of Redshift’s simple orchestration and provisioning to scale to as many workloads and platforms as your heart desires and save money in the process!

It was a pleasure, as usual, to present to a packed room and to discuss all the great things the team has been up to.

No BS Data Salon #3

On Saturday Aggregate Knowledge hosted the third No BS Data Salon on databases and data infrastructure. A handful of people showed up to hear Scott Andreas of Boundary talk about distributed, streaming service architecture, and I also gave a talk about AK’s use of probabilistic data structures.

The smaller group made for some fantastic, honest conversation about the different approaches to streaming architectures, the perils of distributing analytics workloads in a streaming setting, and the challenges of pushing scientific and engineering breakthroughs all the way through to product innovation.

We’re all looking forward to the next event, which will be in San Francisco, in a month or two. If you have topics you’d like to see covered, we’d love to hear from you in the comments below!

As promised, I’ve assembled something of a “References” section to my talk, which you can find below.

(Hyper)LogLog

Random

  • Sean Gourley’s talk on human-scale analytics and decision-making
  • Muthu Muthukrishnan’s home page, where research on streaming in general abounds
  • A collection of C and Java implementations of different probabilistic sketches

Attendees of the third No BS Data Salon