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Human resources ⇄ Data warehouse

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

Keep D2l Brightspace and Databricks 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect D2l Brightspace and Databricks

Land the people and organization records from D2l Brightspace in Databricks 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 Databricks next to everything else the company measures.

Stacksync syncs Users, Enrollments, Org Units, Grades from D2l Brightspace into tables in Databricks continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Databricks, 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 Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • 02 Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.
  • 03 Pull Content user progress and Quiz attempt results into a Postgres warehouse for engagement and completion analytics.
  • 04 Sync Assignment (Dropbox) submissions and feedback into a reporting database or downstream review tool.

Common sync patterns

Queryable history for planning and audit

A continuously synced copy in Databricks gives you a durable, queryable record of how D2l Brightspace's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Databricks sync back onto the matching records in D2l Brightspace, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

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

What you can sync between D2l Brightspace and Databricks

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.

D2l Brightspace objects Databricks objects How this pairing syncs
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. Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Users is specific to D2l Brightspace and Materialized Views to Databricks — each maps to any object or custom field on the other side.
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. Volumes Unity Catalog file storage used for staging bulk loads. Enrollments is specific to D2l Brightspace and Volumes to Databricks — each maps to any object or custom field on the other side.
Org Units The org structure — course offerings, sections, departments, and semesters; read for hierarchy and created/updated to provision courses from a database. SQL Warehouses The compute endpoint a sync connects to for query execution. Org Units is specific to D2l Brightspace and SQL Warehouses to Databricks — each maps to any object or custom field on the other side.
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. Change Data Feed Row-level change records on Delta tables that drive incremental reads. Grades is specific to D2l Brightspace and Change Data Feed to Databricks — each maps to any object or custom field on the other side.
Content (Modules, Topics, and User Progress) Course content structure plus per-user completion; progress is read into a warehouse and topics can be created and updated via the API. Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Content (Modules, Topics, and User Progress) is specific to D2l Brightspace and Catalogs to Databricks — each maps to any object or custom field on the other side.
Quizzes Quiz objects and per-user attempts and results; attempt data is read out for engagement and completion analytics. Schemas Group tables and views; syncs typically target a dedicated schema per source system. Quizzes is specific to D2l Brightspace and Schemas to Databricks — each maps to any object or custom field on the other side.

How changes propagate between D2l Brightspace and Databricks

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.

D2l Brightspace Databricks 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 Databricks as a row-level write, with types converted between the two schemas.

Databricks D2l Brightspace Sub-second propagation

DetectionChanges in Databricks are captured at the source via change data capture — no polling loop against its API. Delta Lake Change Data Feed for row-level changes.

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

Rate-limit considerations

  • 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.
  • Databricks: Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits.
What ships with D2l Brightspace ⇄ Databricks

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever D2l Brightspace or Databricks 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 D2l Brightspace or Databricks record.

Observability

Monitoring

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

Trading partners

EDI

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

How the D2l Brightspace and Databricks connectors work

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

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits
How it works

How to connect D2l Brightspace to Databricks — 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 D2l Brightspace and Databricks 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
    D2l Brightspace connected
    Databricks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the D2l Brightspace and Databricks 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 · D2l Brightspace ⇄ Databricks
    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
    D2l Brightspace Databricks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

D2l Brightspace and Databricks integration FAQ

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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 447 integrations available for D2l Brightspace and Databricks.

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