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Data warehouse ⇄ Human resources

BigQuery to D2l Brightspace integration — real-time, two-way sync

Keep BigQuery and D2l Brightspace in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect BigQuery and D2l Brightspace

Land the people and organization records from D2l Brightspace in BigQuery as live tables for workforce reporting, without extract jobs, and write computed results back where D2l Brightspace can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether D2l Brightspace is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in BigQuery next to everything else the company measures.

Stacksync syncs Org Units, Grades, Content (Modules, Topics, and User Progress), Quizzes from D2l Brightspace into tables in BigQuery continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in BigQuery, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in D2l Brightspace where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Maintain a customer master table in BigQuery joined across CRM, billing, and support sources
  • 02 Feed ML feature tables in BigQuery from operational systems on a continuous schedule
  • 03 Write Grades reconciled in a warehouse back onto Brightspace grade objects, and read grade values out for transcript and completion reporting.
  • 04 Provision Org Units such as course offerings and sections, then enroll learners from an operational database when a cohort or class is created upstream.

Common sync patterns

HR data in the warehouse, minus the pipeline

People and organization records from D2l Brightspace arrive in BigQuery as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

Headcount and cost joined with everything else

Analysts combine D2l Brightspace's workforce records with finance, product, or operational data already in BigQuery for reporting the HR system cannot produce on its own.

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

What you can sync between BigQuery and D2l Brightspace

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

BigQuery objects D2l Brightspace objects How this pairing syncs
Clustered tables Supported; clustering is transparent to the sync. Groups and Sections Group categories, groups, and section membership within an org unit; enrollments are read and written to keep cohort assignments aligned. Clustered tables is specific to BigQuery and Groups and Sections to D2l Brightspace — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Users User accounts in the Learning Platform (lp) component; created, read, updated, and deleted through the Valence API and typically synced two-way with an SIS or HRIS. Datasets is specific to BigQuery and Users to D2l Brightspace — each maps to any object or custom field on the other side.
Projects Connection scope: the service account grants access per project. Enrollments Links between Users and Org Units; enroll/unenroll and batch-enrollment routes let rosters be written from an upstream system and read back for reporting. Projects is specific to BigQuery and Enrollments to D2l Brightspace — each maps to any object or custom field on the other side.
Tables The syncable unit: only tables can be synced per the Stacksync docs. Org Units The org structure — course offerings, sections, departments, and semesters; read for hierarchy and created/updated to provision courses from a database. Tables is specific to BigQuery and Org Units to D2l Brightspace — each maps to any object or custom field on the other side.
Partitioned tables Synced like regular tables; partition columns map to target fields. Grades Grade objects, categories, schemes, and per-user grade values in the Learning Environment (le) component; values can be read out and written back onto the gradebook. Partitioned tables is specific to BigQuery and Grades to D2l Brightspace — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and D2l Brightspace

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

BigQuery D2l Brightspace Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to D2l Brightspace through its API, with automatic retries and rate-limit backoff.

D2l Brightspace BigQuery Sub-second propagation

DetectionD2l Brightspace notifies Stacksync of record changes through webhook events. Polling Valence endpoints with date/bookmark filters, differential Brightspace Data Sets (BDS) bulk exports for changed rows via the Data Hub, and.

DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • D2l Brightspace: Per-caller token-bucket credit scheme; each route costs credits, responses carry X-Rate-Limit-Remaining, and over-quota calls return HTTP 429. D2L can adjust per-route credit costs.
What ships with BigQuery ⇄ D2l Brightspace

Connect BigQuery and D2l Brightspace for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–D2l Brightspace connection.

Real-time

Two-way sync

Changes in BigQuery or D2l Brightspace instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or D2l Brightspace data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single BigQuery or D2l Brightspace record.

Observability

Monitoring

Track your BigQuery ⇄ D2l Brightspace sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and D2l Brightspace.

How the BigQuery and D2l Brightspace connectors work

BigQuery

Integration surface
GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs
Authentication
Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver
Change detection
Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

D2l Brightspace

Integration surface
Brightspace (Valence) REST API split into independently-versioned Learning Platform (lp) and Learning Environment (le) components, plus the Data Hub / Data Export Framework and Brightspace Data Streams
Authentication
OAuth 2.0 authorization-code grant against the D2L auth service (auth.brightspace.com); a registered app holds a client ID and secret with per-scope grants (group:resource:action, e.g. users:userdata:read), short-lived access tokens, and refresh tokens
Change detection
Polling Valence endpoints with date/bookmark filters, differential Brightspace Data Sets (BDS) bulk exports for changed rows via the Data Hub, and Brightspace Data Streams webhooks (xAPI activity events) for near-real-time signals
Capabilities
read · write · webhooks
Rate limits
Per-caller token-bucket credit scheme; each route costs credits, responses carry X-Rate-Limit-Remaining, and over-quota calls return HTTP 429. D2L can adjust per-route credit costs.
D2l Brightspace setup guide
How it works

How to connect BigQuery to D2l Brightspace — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate BigQuery and D2l Brightspace with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    D2l Brightspace connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the BigQuery and D2l Brightspace objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ D2l Brightspace
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery D2l Brightspace
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

BigQuery and D2l Brightspace integration FAQ

SECURITY

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As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 439 integrations available for BigQuery and D2l Brightspace.

Popular · 6 of 439
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