1. What is Big Query?

2. Agenda What is Big Query? Why is it good? What would you use it for?
What does it have to do with GAP?
Use Cases

5. Why is it Good? It is FAST “Infinitely” scalable Biggest datasets:
Storage and compute = separate
It uses “columnar storage” and “multi-level execution trees”
“Parallel processing architecture”
“Infinitely” scalable
Biggest datasets:
10.5 trillion rows
38 petabytes
2.3 million rows per second
 Reliable, SLA driven
Now – real time

6. Big Query Integration Query hit-level data at interactive speed
Query hit-level data at interactive speed; With Google Analytics Premium, your hit-level GA data is available for interactive ad hoc queries, with a response time in seconds. 
Build complex queries and join data sets; Direct granular access to your GA data opens the door for all kinds of complex queries. You’ll also be able to combine data sets from other sources for powerful business insights.
The integration connects all the benefits of the BigQuery service to your GA data:
Google’s computing power delivers insights in seconds rather than hours
No up-front investments, either in hardware or software licensing
Collaborate quickly and securely using Access Control Lists
Protect your data with multiple layers of security from Google
Store as much as you want
Query hit-level data at interactive speed 
The integration connects all the benefits of the BigQuery service to your GA data:
Insights in seconds rather than hours
No up-front investments, either in hardware or software licensing
Collaborate quickly and securely using Access Control Lists
Protect your data with multiple layers of security from Google
Store as much as you want
Integrate as many datasets as you need

7. Big Query Integration Unlimited data upload & queries
Offline – online integration
‘Big Data’ capability for single customer view
CRM
This slide could maybe include the cloud logo

8. Some Big Query Use Cases
Building customer databases that can be queried live
Integrating weather, geographical, demographic data
Integrating first party data
Running fast ad hoc queries on GA datasets
Accessing raw data and time stamps for sequences
Surfacing and using UID and CID
Real time website testing
Surfacing databases to the public

9. Any Questions?