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Data integration starts with connecting your data sources to Datazone.

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Create your data pipelines and serve with ease using Datazone in minutes. Datazone is a data platform that allows you to build, manage, and monitor your data pipelines with a few clicks.

Introduction

Datazone is a modern data platform that simplifies your data engineering journey by providing a unified environment for data ingestion, processing, and analysis. It seamlessly connects your data sources to a robust data lakehouse while offering powerful tools for transformation, orchestration, and exploration.

Key Concepts

Before starting to use Datazone, you need to install the Datazone Python CLI. The client is a Python package that provides a simple interface to interact with the Datazone API.

Installation

In this guide, you will learn how to build a Data Lakehouse from scratch using Datazone.

From Zero to Production

From Zero to Production!

One of the interaction way with Datazone is using Command Line Interface. You can manage your projects, datasets, and models with Datazone CLI commands.

Command Line

You can manage your projects with your way.

Project Repository

Pipelines are the main building blocks of your project. You can define your data processing steps in a pipeline file and deploy it to Datazone.

Pipeline

Transform functions are the bricks of your pipeline. You can atomize your data processing steps into small functions and chain them together to build a pipeline.

Transform

Each pipeline in Datazone has a context object that provides access to resources and configuration settings.

Context

Variables are used to store and manage data in the Datazone platform. You can define variables in the Datazone dashboard and use them in your pipelines.

Variables

API keys are used to authenticate requests to the Datazone API. You can create and manage your API keys from the Datazone dashboard.

Get Started

Reference

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