Graal Platform Documentation

Graal Platform Documentation

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Overview

  • What is Graal Platform?
  • Why use our platform?
  • How Graal Platform works?
  • Concepts
  • Jobs & workflows
  • Security

Quickstart

  • Quickstart

Tutorials

  • Get started with Python
  • Get started with Dask
  • Get started with XGBoost
  • Get started with Apache Spark and Maven
  • Get started with Apache PySpark
  • Get started with Apache Beam and Gradle
  • Use the API
  • Using the command line tool (graalctl)
  • Using secrets
  • Migration from Databricks
  • Get started with Tensorflow
  • Get started with Pytorch
  • Get started with Mxnet
  • Setting up the Hadoop bridge
  • Get started with Apache Flink and Maven
  • Get started with Dbt
  • Get started with Pulsar
  • Get started with Apache Spark Streaming Pulsar
  • Get started with Debezium
  • Get started with the SDK

How-to guides

  • Using Graal Platform with Azure Data Factory
  • Publishing your artefacts with Azure DevOps
  • Using Graal Platform with Apache Airflow
  • Publishing your artefacts with Jenkins
  • Spark
  • Network, VPN, gateway and firewall
  • Logs
  • Pricing

Security

  • Overview
  • Comply with requirements
  • Infrastructures under Graal Systems
  • Responsibilities

Troubleshoot & debug

  • Troubleshooting
  • Common issues
  • Debug jobs

Get started with Dbt

Prerequisites

You need the following:

  • Git
  • Python >=3.8
  • pip

Available adapters on Graal:

  • dbt-core==1.1.0
  • dbt-postgres==1.1.0
  • dbt-redshift==1.1.0
  • dbt-bigquery==1.1.0
  • dbt-snowflake==1.1.0

Secrets

Your DBT project must contain the "profile" directory. Secrets should be filled in with environment variables.

Run the project

Clone the example project and use dbt run --profiles-dir to run it.

← Get started with Apache Flink and MavenGet started with Pulsar →
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