- First, you need to register in ApiX-Drive
- Choose what data to transfer from AOL to BigQuery
- Turn on auto-update
- Now the data will be automatically transferred from AOL to BigQuery
Integration AOL + BigQuery
Create integration of AOL and BigQuery yourself, without programmers
Other available integrations
AOL (245 available connectors)
BigQuery (245 available connectors)
Without restrictions
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Automation capabilities of
AOL and BigQuery
Configure the rules once, according to which the systems will work.
Transmit data at specified intervals from AOL to BigQuery.
Transmit data at specified intervals from AOL to BigQuery.
Data source: AOL, available actions:
- Get EMAIL (new)
Data receiver: BigQuery, available actions:
- Add ROW
F.A.Q. on integration of AOL and BigQuery
How is integration of AOL and BigQuery carried out?
How long does the integration take?
Depending on the system you want to integrate, the setup time may vary from 5 to 30 minutes. On average, it takes 10-15 minutes.
How much does it cost to integrate AOL with BigQuery?
You don't need to pay for the integration, as all the functionality is available at all plans. You pay only for the amount of data transferred from one of your systems to another through our service. If you have a small amount of data per month, you can use a free plan and switch to a paid one, if necessary. More information about plans .
How many integrations are available in Apix-Drive?
At the moment, we have 268+ integrations beside AOL and BigQuery
Information about AOL
AOL is an American media company that owns a number of popular online services. For example, this is the mail client AOL Mail, its users receive a free mailbox with 250 GB of disk space. It can store up to 4,000 incoming and 4,000 outgoing emails, as well as attach files up to 25 MB to them. AOL Mail supports POP3, SMTP, IMAP protocols, built-in spam / virus protection and a spelling checker option. Other popular AOL web services include the eponymous search engine, news aggregator, and the Open Directory Project, a major web link directory. More
Information about BigQuery
The purpose of the BigQuery service is a quick and detailed analysis of the big data owned by the service. This is a great solution when traditional tools like Google Analytics are clearly not enough. To use BigQuery, an enterprise does not need to invest in expensive systems, and the cost of using the service depends on the amount of data available. The presence of SQL support and detailed documentation will allow beginners who already have experience working with a DBMS to quickly figure out the basics of the service. More
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