The webinar discussed using HP Vertica and Looker to enhance data analytics capabilities, focusing on speed, scalability, and ease of use. It included a case study from Snagajob, detailing their transition from traditional data architectures to a polyglot data platform to improve efficiency and insight delivery. The session emphasized the importance of presenting a unified version of data for better decision-making across various stakeholders.

1. Data at the Speed of Business
September 2 ,
2015

2. Welcome & Webinar Overview
- This webinar will be recorded
- We will take questions at the end
Keenan Rice
Vice President, Alliances
Looker

3. Agenda
- Brief overview of Vertica
- Brief overview of Looker
- SnagAJob Case Study

4. HP Vertica
Norma Rodriguez, IT Engineer

5. Looker
Erin Franz, Data Analyst

6. Speed, scalability, simplicity, and openness at lower TCO
HP Vertica Analytics Platform
High-performance data analytics platform purpose built for big data
HP Vertica Analytics Platform to the rescue!
Gain insights into your data in near-real time by running queries 50x-1,000x faster than legacy products
Blazing fast analytics
Infinitely and easily scale your solution by adding an unlimited number of industry-standard servers
Massive scalability
Get to market quickly with your analytics initiatives at low cost of administration and maintenance
Easy set-up and administration
Protect your investment in hardware and software, with built-in support for Hadoop, R
Open architecture
Store 10x-30x more data per server than row databases with patented columnar compression
Optimized data storage

7. “We found that we’d add a lot
more value back to the
organization if we gave it to
everyone.”TODD LEHR
DOLLAR SHAVE
CLUB
350 +
Agile data modeling;
Transform Data at
Query
ETL ELT
A single set of
data and definitions
Hosted on-premise
or in the cloud
An analytics app server
that doesn’t move your
data
A better way to explore complex data

8. Your results are as fresh as
the data in Vertica because
no data movement is required
Explore and visualize your
large datasets in Hadoop with
Vertica + Looker
Looker queries Vertica
directly - taking advantage of
the power of the underlying
database
In-
Database
All of Vertica’s useful analytic
functions - like Geospatial
Analytics - can be utilized by
Looker
Real Time
Analytic
Functions
SQL on
Hadoop
Looker and Vertica Solution for Data
Exploration and Visualization

9. Robert Fehrmann
Data Architect
Scott Hicks
Senior Director,
Data Strategy
Jake Piersol
Data Solutions Manager

10. We connect workers with hourly jobs and employers with hourly workers.
And with 60 million registered job seekers, we’re pretty good at it. Since
2000, we’ve grown to be America’s #1 spot for hourly work. We got here
simply because we love helping people find jobs they love. Our products
and services make it effortless for workers to find jobs, and easy for
employers to quickly find workers - and we’re always looking to improve.
After all, work is kind of our thing.

11. We Needed to
Solve a Problem
Scott Hicks

12. We are hourly.
12

13. ...just to keep pace
Need a solution that is:
Easy to setup
Easy to maintain
Easy to use (ie idiot proof)
Make sense financially
Works for all my stakeholders
➢ Product Managers
➢ Senior Leadership
➢ Developers
➢ Customers
“Houston, we have a problem”
We need to move faster ...

14. Technology…
Our Evolution
Robert Fehrmann

15. Initial Load Profile
0.1 million unique visitors per day
1 million page views per day
10 million registered users
Initial Architecture
Traditional SQL based DW / Traditional Data cubes
single server instance using data partitioning
scaling up (more memory, more cpu)
Challenges
Slow to load / retrieve / change
Scalability
Cost
“... so what’s the problem?”
Using pre-webscale Technology at webscale

16. Best of breed over single Vendor
Scale-Out over Scale-Up
Dynamic queries over pre-build Cubes
Agile over Waterfall
“How did we fix the problem?”
Completely re-think data analytics

17. “What does our Solution look like?”
Polyglot Data Platform
Data
Collection
Data
Storage
Data
Engine
Data
Analytics/
Visualization
Flume
Kafka
Scoop
Hadoop
(Cloudera)
Vertica
Impala
Looker
Google
Sheets

18. “How does it work?”
Web WebWeb
Message
Bus
Flume Hadoop
Hue
PortalImpala Sheets
Web
Apps
Jobseekers / Clients Clients
Portal
Internal Users
Web
Apps

19. Putting it Into
Practice
Jake Piersol

20. Customers will pay more if we give them more
● Subscription Model → Transactional Model
● Created new data needs
● Vertica provides the analytical platform
● Looker provides the window
Keeping up with the business
Product Evolution

21. Deliver Insight Quickly

22. Deliver Insight Quickly
"One of our biggest data challenges has always
been ‘presenting one version of the truth’ … with
Looker, we are able to do this in multiple ways"
John Moon
Director of Data Strategy

23. Deliver Insight Quickly
"One of the best features Looker provides, is the
ability to create custom looks and dashboards
specific for each of my customers. That, along with
the ability to automatically send those reports,
allows me to pass critical information to my clients
without a lot of additional touches."
Ken Larsh
National Account Executive,
Recruitment Advertising and Staffing

24. Deliver Insight Quickly
"Looker gives us the capability to slice and dice data like
we haven't had in the past. I spend about 75% of my day
using it, and it truly makes my job easier!"
Hope Ferguson
Solutions Analyst

25. Predictive Analytics
Data as a Product
Simplifying the Stack
Room to Evolve
Where do we go from here?

26. Q &
A

27. Thank You
- This webinar will be posted on
looker.com tomorrow.
- Demo Looker at looker.com/demo
- Demo Vertica my.vertica.com/evaluate

28. Thank you