Astera Data Stack

Version 10

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Welcome to Astera Data Stack Documentation
RELEASE NOTES
SETTING UP
DATAFLOWS
WORKFLOWS
Subflows
- Using Subflows in Astera
DATA MODEL
REPORT MODEL
API Flow
- API Publishing
- API Consumption
  - Consume
    API Connection
    Making API Calls with the API Client
    API Browser
    Type 1 – JSON/XML File
    Type 2 – JSON/XML URL
    Type 3 – Import Postman API Collections
    Type 4 - Create or customize API collection
    Pre-built Custom Connectors
    Request Service Options - eTags
    HTTP Redirect Calls
    Method Operations
    Pagination
    Raw Preview And Copy Curl Command
    Support for text/XML and SOAP Protocol
    API Logging
  - Authorize
    Open APIs - Configuration Details
    Authorizing Facebook APIs
    Authorizing Astera’s Server APIs
    Authorizing Avaza APIs
    Authorizing the Square API
    Authorizing the ActiveCampaign API
    Authorizing the QuickBooks’ API
    Astera’s Server API Documentation
    NTLM Authentication
    AWS Signature Authentication
    Accessing Astera’s Server APIs Through a Third-Party Tool
    Workflow Use Case
Project Management and Scheduling
Data Governance
Functions
USE CASES
- End-to-End Use Cases
CONNECTORS
Incremental Loading
- Trigger Based CDC
- Incremental CDC
MISCELLANEOUS
FAQs

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Use Cases

In this section we will go through different scenarios that might arise when extracting data and how report models in Astera can cater to them.

PreviousField Properties Panel NextAuto-Creating Data Regions and Fields

Last updated 8 months ago

Auto-Creating Data Regions and Fields

Applying Pattern to Line

Regular Expression

Floating Patterns and Floating Fields

Creating Multi-Column Data Regions

Defining the Start Position of Data Fields

Data Field Verification

Using Comma Separated Values to Define Start Position

Defining Region End Type as Specific Text and Regular Expression

How To Work With PDF Scaling Factor in a Report Model

Connecting to Cloud Storage