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Oracle NetSuite BigQuery

Connect Oracle NetSuite to BigQuery

Send Oracle NetSuite contacts, invoices, tasks and 101 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.

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BigQuery dataset netsuite
  • contact
  • invoice
  • task
  • account
  • objects
  • 99 more data types
Each Oracle NetSuite data type lands in its own table. You pick the dataset and table names.
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How to connect Oracle NetSuite and BigQuery

6 steps. You can preview the Oracle NetSuite data in Coupler.io before anything reaches BigQuery.

Step 1 of 6

Connect Oracle NetSuite

Enter your Oracle NetSuite realm (account id), consumer key, consumer secret, token key (token id) and token secret. You only do this once per account.

Realm (account id)••••••••••••
Consumer key••••••••••••
Consumer secret••••••••••••
Token key (token id)••••••••••••
Token secret••••••••••••

Step 2 of 6

Choose a data type

Pick the kind of Oracle NetSuite data to export.

Show 32 more data types Show fewer data types

And 64 more data types.

Step 3 of 6

Choose what to export

Pick the Oracle NetSuite data you want in BigQuery.

Show 32 more data types Show fewer data types

And 64 more data types.

SuiteQLNot setPut any SuiteQL query to extract the data you need from NetSuite. Please see NetSuite documentation for more details on SuiteQL.
Start dateAny dateSpecify the date to sync only records updated after this time.

Step 4 of 6

Fine-tune the export

Optional settings for this Oracle NetSuite export.

Window in DaysNot setThe amount of days used to query the data with date chunks. Set smaller value, if you have lots of data.

Step 5 of 6

Connect BigQuery

Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Oracle NetSuite data.

JSON key filecoupler-service-account.jsonKey file from a GCP service account
Dataset namenetsuiteExactly as it appears in BigQuery
Table namecontactExisting table or a new name to create
Autodetect table schemaOnOn by default. Turn off to define the schema as JSON

Step 6 of 6

Choose a write mode and schedule

Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.

Write mode

Each run overwrites contact with fresh Oracle NetSuite data.

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Get the most of Oracle NetSuite to BigQuery integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
Understand data icon

Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
Act on data icon

Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Oracle NetSuite to BigQuery questions

104 data types, including Contact, Invoice, Task, Account and Objects.

With your Oracle NetSuite realm (account id), consumer key, consumer secret, token key (token id) and token secret, entered once when you add the connection.

Yes. Set the start date to cover the period you need.

Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Oracle NetSuite data.

Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.

On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.

Yes. Add more sources to the same data flow, for example 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.

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