What is Big Query?.

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Presentation transcript:

What is Big Query?

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

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

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

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

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

Any Questions?