Lantide Data
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Platform Admin (Data Engineering) introduction: what Lantide Data means for you

Read time: ~8 minutes · Role: Platform Admin (Data Engineering) · Next: Work through the reading path below article by article, or walk through one test connection and Workspace export.


Questions you may be asking

"The analyst wants to connect the company PostgreSQL and also drag in Excel—isn't this tool local?"
"How do we move the workspace when switching computers? Can we just copy folders manually?"
"Do I need to modify the Agent code?"

Your role is to help the team connect to real data, move environments, and safely bring in external Agents—not to write SQL analysis or change the Harness source code.


What Lantide Data is (Platform Admin (Data Engineering) view)

In one sentence: a local desktop analysis IDE (Electron + local DuckDB) that can mount local files and external databases, where analysts do Plan → Execute → Report.

It is It is not
A local SQL query and Agent collaboration environment A cloud ETL / scheduling platform
Able to ATTACH PostgreSQL / MySQL etc. for cross-source JOINs A replacement for the company warehouse or BI
Official .lantide bundles for project / workspace / settings migration "Seamless machine swap, import and go" (Rebind and reconnect required)

What you should know: connections, workspace, data directory, .lantide export/import, plus an external Agent's scope, mode, and how to review it.
What you can skip: Series reading map §VI (engineering companions 3–4)—that Harness-contributor path, unless you're changing the product itself.


Typical data landscape (small and mid-size teams)

Data is often scattered across:

  • Engineer-hosted PostgreSQL / MySQL
  • Operations-owned CSV / Excel

Lantide uses DuckDB locally to chain both sides together in a single SQL statement, without having to ask someone to write ETL first. Your job is to point the connections and folders at the right place so analysts can get to work.


What you do in the flow

sequenceDiagram
    participant Plat as Platform Admin (Data Engineering)
    participant Analyst as Analyst
    participant App as Lantide

    Plat->>App: Configure connections and data directory
    Plat->>App: Import a Workspace when needed
    Plat->>App: Configure Agent Integration by trust level
    Analyst->>App: Plan / Execute / Report
    Plat->>App: Review Activity, Rotate or Revoke when needed
    Plat->>App: Backup, machine-swap Rebind, reconnect DB

The analysis flow (Plan, Execute) is led by analysts and business / operations; you work in parallel on infrastructure—connections up, migration done, passwords and paths rebound.


Suggested reading path (onboarding → practice → advanced)

Onboarding: build a mental model (~12 minutes)

# Article Overview Status
1 Where Lantide sits in the data architecture Local-first, not ETL Available
2 Analyst vs Platform Admin (Data Engineering): who owns what Connections / migration vs analysis delivery Available

Practice: day-to-day operations (~35 minutes + hands-on)

# Article Overview Status
3 External database connections Test / Connect, Trial limits Available
4 Workspace and data directory Create, switch, isolate, change load dir Available
5 .lantide export, import, and Rebind Four-layer boundaries, machine-swap wizard Available
Hands-on One test connection + export and re-import a test Workspace Available

Advanced: optional and troubleshooting (~30 minutes)

# Article Overview Status
6 Safely connecting an external AI Agent to Lantide Agent Integration's scope, mode, Activity, and revocation Available
7 MCP Sources basics Status and reconnect when Lantide connects to external data sources Available
8 Backup, security boundaries, and common issues Passwords not in the bundle, post-import checklist, connection troubleshooting Available

Design depth (optional)

Resource When to read
USER_GUIDE §3–4, §11.1 Step-by-step operational cross-check
data-portability PRD Bundle format and denylist detail
physical data PRD Optional packing of local CSV/Parquet design

Trial checklist

  • Finish this article + the 2 onboarding articles
  • For a test workspace, create a connection that completes Test Connection → Connect successfully
  • Export a Workspace .lantide, re-import it as a new workspace, and complete Rebind
  • (Optional) Drill Encrypt bundle or Include physical data files on a small bundle
  • Confirm that after import you follow the prompts to Reconnect databases and, when needed, Refresh schema
  • In the test workspace, drill an external Agent connection once with Observe, confirming the built-in Agent still works and Activity can be reviewed
  • Share the Analyst introduction link with your analyst colleagues

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