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Documentation Recipes & Templates Product Updates

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Documentation Recipes & Templates Product Updates

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Getting Started

👋 Welcome to Datastreamer!
🚀 Quickstart Guide
📘 Pipeline Anatomy
🎯 Platform FAQs

🎨 Creating Pipelines

Create Your First Pipeline
Getting Access to Portal

✨ Add Data To Your Pipeline

Use Jobs to trigger data ingress
Creating Jobs (Portal, API)
Managing Jobs
Data Source Add-Ons
Advanced Data Ingresses

🧩 Unify varied data sources

Unify Transformer & Default Schema
- Datastreamer Unify Schema
JSON Schema Transformer
Advanced Schema Transformation
- PDF to JSON Text Extraction
- PDF Table Extraction to Unified Schema

🤖 Apply Operations to data

Operations & Enrichments Overview
Custom Functions (Python)
Routing & Filtering
- JSON Document Router
Multilingual Support & Translation
NLP/ML Classifier Add-Ons
Advanced Operations
- File Fetching
- Concat

🔌 Egress data from your Pipeline

What is "Pipeline Egress"?
Searchable Storage by Datastreamer
Advanced data egress

📊 Managing your Pipelines

Pipeline Deployment
Pausing, Stopping, and Deleting
Pipeline Versioning
Pipeline Metrics & Analytics
Pipeline Document Inspector Component
Volume Health Monitoring & Alerting

🔑 Billing & Cost Management

What are Data Volume Units?
Platform Pricing Overview
Billing Dashboard (Portal)
Pricing Calculator(Portal)
Add-On Bundles

📘 Security & Compliance

Platform Transparency Overview
Platform Security Overview
Advanced Security & Compliance
- Pipeline Regional Deployment
- Compliance-Sensitive Usage

Other

Platform Terminology
Tips & Tricks

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Advanced Schema Transformation

These subpages detail more advanced schema transformation requirements.

Updated 17 days ago

JSON Schema Transformer

PDF to JSON Text Extraction