Datacoral Documentation

Datacoral Documentation

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›Getting Started

Getting Started

  • Home
  • Install CLI
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CLI Reference

  • Collect Commands
  • Organize Commands
  • CLI Cheatsheet
  • Redshift Materialized Views Cheatsheet
  • Athena Materialized Views Cheatsheet
  • Troubleshooting Documentation

Collect Slices

  • Collect Overview
  • API Slices

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    Database Slices

    • Database Collect Slices
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    • MySQL CDC
    • PostgreSQL

    Events Slices

    • Events Overview
    • Android
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    • .Net
    • Ruby
    • Snowplow Events

Organize Slices

  • Data Organization
  • Managed Redshift
  • Managed Glue

Harness Slices

  • Harness Overview

Technical Documents

  • Timelabels
  • Definitions
  • Materialized Views
  • Security Architecture
  • Encrypt Password
  • Configuring Alerts
  • Existing Redshift

Welcome to Datacoral!

Datacoral’s product is a an end-to-end data pipeline that runs within your AWS account. The building blocks for the Datacoral platform are called slices. Slices are self-contained micro-services which collect data, organize it, or harness it and have standardized interfaces which allow them to be installed in any configuration, creating a modular, custom data-stack just for you.

Datacoral architecture

Getting Started

Step 1

Install Datacoral CLI

Start with installing the Datacoral CLI, please go to Install Datacoral CLI.

Step 2

Create Datacoral Installation

You can create your own new Datacoral Installation in your AWS account in an afternoon! Go to New Datacoral Installation.

Step 3

Pull data from different sources

Once you create an installation, you can add slices to collect data from different sources to centralize your data in Amazon S3 buckets and in Amazon Redshift. Go to Collect CLI Guide.

Step 4

Transform that data

Once data starts flowing into your Redshift cluster, you can transform that data via our materialized views. Go to Organize CLI Guide.

Install CLI →
  • Getting Started
    • Install Datacoral CLI
    • Create Datacoral Installation
    • Pull data from different sources
    • Transform that data
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