How to Route Data to a Database and API Using Multiple Filters
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| Workflow Name: |
More Than 1 Filter Condition with Database and API as Target |
|---|---|
| Purpose: |
Route filtered records to Database & API |
| Benefit: |
Simultaneous data availability in DB & API |
| Who Uses It: |
Data Teams; IT |
| System Type: |
Data Integration Workflow |
| On-Premise Supported: |
Yes |
| Industry: |
Analytics / Data Engineering |
| Outcome: |
Filtered records sent to Database & API |
Table of Contents
Description
| Problem Before: |
Manual routing to DB & API |
|---|---|
| Solution Overview: |
Automated routing and transformation to Database & API using multiple filters |
| Key Features: |
Filter; validate; transform; route |
| Business Impact: |
Faster; accurate dual-target ingestion |
| Productivity Gain: |
Removes manual routing |
| Cost Savings: |
Reduces labor and errors |
| Security & Compliance: |
encrypted transport |
More Than 1 Filter Condition with Database and API as Target
The Multi Filter Workflow routes records after applying multiple filter conditions, sending them simultaneously to both a database and an API. This ensures relevant data is available across systems without delay.
Advanced Filtering for Reliable Dual-Target Data Delivery
The system applies multiple predefined filters to incoming data, validates the results, and pushes the refined records to the target database and API in near real time. This workflow helps data and IT teams maintain consistent datasets, improve processing speed, and reduce manual effort.
Watch Demo
| Video Title: |
API to API integration using 2 filter operations |
|---|---|
| Duration: |
6:51 |
Outcome & Benefits
| Time Savings: |
Removes manual routing |
|---|---|
| Cost Reduction: |
Lower operational overhead |
| Accuracy: |
High via validation |
| Productivity: |
Faster dual-target ingestion |
Industry & Function
| Function: |
Data Routing & Transformation |
|---|---|
| System Type: |
Data Integration Workflow |
| Industry: |
Analytics / Data Engineering |
Functional Details
| Use Case Type: |
Data Integration |
|---|---|
| Source Object: |
Multiple Source Records |
| Target Object: |
Database & API |
| Scheduling: |
Real-time or batch |
| Primary Users: |
Data Engineers; IT |
| KPI Improved: |
Update speed; accuracy |
| AI/ML Step: |
Not required |
| Scalability Tier: |
Enterprise |
Technical Details
| Source Type: |
API / Database / Email |
|---|---|
| Source Name: |
Multiple Sources |
| API Endpoint URL: |
Target API |
| HTTP Method: |
POST |
| Auth Type: |
OAuth / API Key |
| Rate Limit: |
API dependent |
| Pagination: |
Supported |
| Schema/Objects: |
Filtered records |
| Transformation Ops: |
Filter; validate; transform |
| Error Handling: |
Log and retry failures |
| Orchestration Trigger: |
On upload or scheduled |
| Batch Size: |
Configurable |
| Parallelism: |
Multi-source concurrent |
| Target Type: |
Database & API |
| Target Name: |
Database & API |
| Target Method: |
Insert / POST |
| Ack Handling: |
Response logged |
| Throughput: |
High-volume records |
| Latency: |
Seconds/minutes |
| Logging/Monitoring: |
Ingestion & API logs |
Connectivity & Deployment
| On-Premise Supported: |
Yes |
|---|---|
| Supported Protocols: |
API; DB; Email |
| Cloud Support: |
Hybrid |
| Security & Compliance: |
encrypted transport |
FAQ
1. What is the 'More Than 1 Filter Condition with Database and API as Target' workflow?
It is a data integration workflow that routes filtered records to both a database and an API after applying multiple filter conditions, ensuring simultaneous data availability in both targets.
2. How do multiple filter conditions work in this workflow?
The workflow evaluates multiple predefined filter conditions on the source data and routes only the records that satisfy all conditions to the database and API.
3. What types of source systems are supported?
The workflow supports data from APIs, databases, and files, applying all filters consistently before routing to the targets.
4. How frequently can the workflow run?
The workflow can run on a schedule, near real-time, or on-demand depending on data processing and operational requirements.
5. What happens to records that do not meet the filter conditions?
Records that do not satisfy all filter conditions are excluded and are not sent to either the database or API.
6. Who typically uses this workflow?
Data teams and IT teams use this workflow to ensure filtered, high-quality data is available simultaneously in both the database and API for operations and analytics.
7. Is on-premise deployment supported?
Yes, this workflow supports on-premise data sources as well as hybrid environments.
8. What are the key benefits of this workflow?
It ensures simultaneous data availability in both database and API, improves data quality, reduces manual routing effort, and supports efficient analytics and operational workflows.
Resources
Case Study
| Customer Name: |
Data Team |
|---|---|
| Problem: |
Manual routing to DB & API |
| Solution: |
Automated dual-target routing & transformation |
| ROI: |
Faster workflows; reduced errors |
| Industry: |
Analytics / Data Engineering |
| Outcome: |
Filtered records sent to Database & API |
