Google BigQuery
Data Integration
via SSIS Integration Toolkit
Retrieve data from Google BigQuery to integrate with any other application or data source including Dynamics 365, SAP, HubSpot, and ADP, to name just a few.
What other applications can you sync with Google BigQuery?
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Google BigQuery is commonly used as a centralized platform for analytics and large-scale data processing. Connect BigQuery with operational systems and other data sources so reporting, analytics, and data warehouse processes have access to current business data.
Load & Extract Data
Retrieve projects, datasets, jobs, tables, and table data from Google BigQuery, or execute BigQuery SQL to return targeted results. Configure project, dataset, table, billing project, page size, query cache, polling, and output settings based on the requirements of each data flow.
Support Data Warehouse Workflows
Write data to Google BigQuery datasets and tables from databases, business applications, files, and other sources. Use supported insert, update, patch, delete, cancel, upsert, and full synchronization actions to manage BigQuery resources and table data.
Replicate Data
Data Archival
Transfer data between Google BigQuery and databases or storage platforms for long-term retention, backup, and historical analysis. Use page size, starting row, JSON output, and selected project, dataset, and table settings to control retrieval.
Data Analytics
Load operational data into Google BigQuery for centralized reporting and analytics. Execute standard or legacy SQL, create asynchronous query jobs, use cached results where appropriate, and return structured columns or JSON output for downstream processing.
Google BigQuery Data Integration is available in SSIS Integration Toolkit
Download Purchase Help ManualKey Features
- Authenticate using OAuth Authorization Code or Service Account credentials.
- Retrieve projects, datasets, jobs, tables, table data, or results from BigQuery SQL.
- Configure billing projects, query jobs, polling rates, page sizes, and query caching.
- Use standard SQL or legacy SQL and return table or query results as structured fields or JSON.
- Manage datasets, jobs, tables, and table data using supported Insert, Update, Patch, Delete, Cancel, Upsert, and FullSync actions.
- Perform bulk table loads through Google Cloud Storage using Avro, CSV, or Parquet files.
- Control bulk operations with duplicate handling, batch polling, temporary-file cleanup, and billing project settings.
- Redirect unsuccessful rows to an error output for review and downstream processing.
Google BigQuery Data Integration Made Easy
Our solution is easy to use, offering codeless integration between Google BigQuery and other applications, databases, files, and cloud services. Built for Microsoft SQL Server Integration Services, KingswaySoft's Google BigQuery integration solution helps teams retrieve, search, load, and manage BigQuery data through dedicated SSIS source and destination components. With support for OAuth and Service Account authentication, SQL execution, query jobs, JSON processing, bulk uploads, duplicate handling, API throttling, retry handling, and error redirection, users can build BigQuery integrations with greater control and flexibility.
Our Google BigQuery integration solution is available within the Google Services Components of our SSIS Integration Toolkit, a large collection of premium and unique ETL tools to enable greater development productivity. We also offer several additional connectivity solutions to easily integrate Google BigQuery with applications such as Microsoft Dynamics 365, SharePoint, HubSpot, and many more.
See our full product offerings for more information.
More SSIS Google Services Components
Our SSIS Google Services components make it easy to integrate with different services within the ETL process. Each service available has specific components that have been developed to work with all the intricacies of that particular Google Service. In addition to Google BigQuery, we support the following Google Services:
SSIS Integration Toolkit
Google Ads
Google AlloyDB
Google Analytics
Google Appsheet
Google Calendar
Google Classroom
Google Cloud Monitoring
Google Cloud SQL
Google Cloud Storage
Google Cloud Trace
Google Dataplex
Google Drive
Google Firebase
Google Forms
Google Maps
Google People
Google Search Console
Google Sheets
Google Tag Manager
YouTube Analytics
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