Apica LogFlow
  • Overview
  • EULA
    • End User License Agreement
  • Getting Started Guide
    • Deployment guides
  • Architecture
    • Never Block, Never Drop
    • InstaStore
    • Deployment
  • Flow Management
    • Overview
    • Forwarders
    • Mapping Applications
    • Data Transformation
  • Splunk Forwarding
    • Overview
    • Apica UF Proxy App Extension
      • Standalone Instance
      • List of Indexer instances
      • Indexer Discovery
    • Metric indexes
    • Non metric indexes
    • Syslog forwarding
  • Real-time Stream Forwarding
    • Overview
    • AWS Kinesis
    • Azure Eventhub
    • Google Pub/Sub
  • Forwarding To Data Warehouse
    • Overview
    • GCP Bigquery
  • Object Store Forwarding
    • Overview
    • S3 Compatible
    • Azure Blob Storage
  • Forwarding to monitoring tools
    • DataDog Forwarding
    • New Relic Forwarding
    • Dynatrace Forwarding
    • Elasticsearch Forwarding
    • Coralogix Forwarding
    • Azure Log Analytics Forwarding
    • JS Code Forwarding
  • Security Monitor Forwarding
    • Overview
    • Arc Sight
    • RSA New Witness
Powered by GitBook
On this page

Was this helpful?

Export as PDF
  1. Forwarding To Data Warehouse

Overview

A Data warehouse provides a unified and comprehensive view of an organization's data, enabling users to perform complex queries, generate reports, and gain insights into their business operations. Data warehouses achieve this by integrating data from various sources, transforming it into a consistent format, and organizing it according to a dimensional data model. The primary goal of a data warehouse is to support business intelligence and decision-making activities.

Apica provides a forward plugin that will forward your logs to data warehouse. All you need to do is to create a forwarder and map that forwarder to your desired namespace and application.

Supported Data warehouse

  • GCP Bigquery

PreviousGoogle Pub/SubNextGCP Bigquery

Last updated 1 year ago

Was this helpful?