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Nikolay Novozhilov
Wego.com
Using BigQuery as a main Big
Data solution
About Wego
Wego.com is Asia Pacific and the Middle East’s
leading flight/hotel metasearch engine used by
millions of travelers.
Wego was founded in 2005 in Singapore
Introducing BigQuery
Service for interactive analysis of massive datasets
(TBs)
Query billions of rows: seconds to write, seconds to
return
Uses a SQL-style query syntax
It's a service, accessed by a RESTful API
Pay only for what you use
Based on internal Google tool - Dremel
Column oriented, append only…
Data architecture in Wego
...
Why did we do it?
MySQL
“Zoo”
BigQuery
Why Hadoop is more popular?
My collection of concerns
Your data goes to cloud
Not open-source, Google can stop the service
“Strange” pricing model
Hadoop is trending, has bigger community
Append only database
???
Costs: storage + cost per query
Same fallacy again:
 “I want to launch a mom@pop – let’s buy a
building”
 “I want to build a site – let’s by servers”
 “I want big data – let’s build a data-warehouse”
Usual concerns:
 No realistic estimate upfront
 “Fear of running a query”
StackOverflow support
53
minutes!
Append only…
Slowly changing dimensions:
 daily re-load from MySQL
 daily upload from MySQL, keeping history
Absolutely necessary updates:
 do you really need it?
 BigQuery allows to save query to initial table:
Your
table Query
Actually useful - “Discovery mode”
Actually useful
Huge joins
REGEXT_MATCH(), …
Rich SQL - window functions
Nested data
My answer
What is Big Data revolution?
There is no difference
between big data and small
data anymore
Contacts
Blog: www.novozhilov.co
Email: nik@wego.com
“Yes, Sir, I tired to build an ROI case for
our BI project - but I couldn’t access any
reliable data!”
TimoElliott.com

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Using BigQuery as a main Big Data solution

Hinweis der Redaktion

  1. https://www.google.com.sg/trends/explore#q=BigQuery%2C%20Amazon%20Redshift%2C%20Apache%20Spark%2C%20ElasticSearch%2C%20Hadoop&cmpt=q&tz=Etc%2FGMT-8
  2. https://www.google.com.sg/trends/explore#q=BigQuery%2C%20Amazon%20Redshift%2C%20Apache%20Spark%2C%20ElasticSearch%2C%20Hadoop&cmpt=q&tz=Etc%2FGMT-8