Data Collection
Data EngineeringData Integration Assistant
A complete AE data-integration guide covering SDK integration, LogBus2 configuration, data-format validation, the user-identity system, and production red lines, answering every data-integration question precisely from official documentation.
Tracking schema
events · propertiesThe AE Data Integration Assistant Skill is a data-integration Q&A capability in ThinkingAI's industry Skill library. It helps dev and data teams quickly get precise answers on ThinkingAI cross-platform SDK integration, data-format specs, the user-identity system, LogBus2/DataX/Restful API configuration, and production red lines. Every answer is strictly based on the official wiki rather than experience-based guessing, with a FAQ library and a complete reference index, moving data integration from "not knowing how to integrate" to pinpointing answers from official docs. This is ThinkingAI's decade of industry experience, packaged into ready-to-use Skills.
Live walkthrough
snake_casebattle_id null rate 23%, significantly abnormalValidation is done. Across the 26 new events, 5 issues were found, 3 of them blocker-level that must be fixed before launch. The amount field alone has already accumulated 4,200 bad records on the test server. Comparing this volume by hand usually takes two days; this pass returned results in ten minutes, leaving a full fix-and-regression window before tomorrow night's launch.
1. Four-dimension validation results
| Validation dimension | Scope | Result | Finding |
|---|---|---|---|
| Completeness | Reconcile 26 new events | 2 missing events | gift_receive, mail_claim had zero reports on the test server; the client missed the calls |
| Parameter type | Compare 71 properties one by one | 1 type mismatch | amount is defined as number in the plan but reported as string; 4,200 bad records accumulated in two days |
| Naming convention | Event / property name rules | 1 casing inconsistency | itemUse should be item_use; event names are case-sensitive and this would split into two events |
| Null rate | Non-null check on key properties | 1 abnormal property | battle_id null rate 23% (historical baseline 2%) |
2. Root-cause analysis
The most dangerous one is amount: the client converts the amount to a string when assembling parameters → the plan defines it as number → AE sets a property's type on first report, so once the production project is locked to string, later correct number reports get dropped for type mismatch → BI payment sums only capture some events, an estimated ~15% deviation based on the test server's payment-event share. Fortunately the bad reports are only in the test project so far and nothing has been written to production yet. This is the only window where the fix is still painless.
battle_id's 23% null rate is a timing problem: battle_end fires ta.track before the settlement callback returns, while the field is still unset. The two missing events (gift_receive, mail_claim) are client calls that were never wired up: in the plan, absent from the code. itemUse is a naming drift: after launch it splits from the plan's item_use into two events, and no analysis can capture the full picture.
On your data
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The problem
Data integration is the starting point of the analytics system, yet more than 50% of teams hit at least one "the docs weren't clear" issue on their first integration. Client-side SDK initialization parameters differ completely across platforms, the server-side Consumer choice directly affects data reliability but its docs are scattered across chapters, and misunderstanding the user-identity system fragments user data. More subtle are the data-format red lines: a property type cannot be changed once set, and event names are case-sensitive while property names are not, and the cost of breaking these rules is data being dropped and unrecoverable.
What it does
When to use it
Unsure of initialization parameters and call conventions when integrating the AE SDK for the first time
Choosing a Consumer type for server-side reporting (LoggerConsumer vs BatchConsumer vs DebugConsumer)
Unsure of the binding timing for distinct_id and account_id when designing the user-identity system
Data-format questions: property types, event naming rules, preset properties, and time calibration
LogBus2/DataX/Restful API configuration and common error investigation
Confirming red-line rules before a production launch
In the field
FAQ
How does this Skill differ from the AE SDK Integration Q&A?
The AE Data Integration Assistant focuses more on the full data-integration guide, while the AE SDK Integration Q&A focuses more on the specific API calls and code examples for event reporting.
Which languages are supported for Q&A?
You can enter Chinese or English, and the Skill replies in the language you use. The official doc URL adapts its language parameter automatically.
What are the production red lines?
No DebugConsumer, no Debug mode, Normal mode required, LoggerConsumer + LogBus2 recommended server-side, and close() must be called before the program exits to avoid losing cached data.
Related Skills
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