Quick Start Guides

These quick start guides will help you navigate through the essentials of DataOS. We recommend leveraging these resources to strengthen your understanding.

Connecting with Data Sources

Learn how to connect DataOS to various data sources, ensuring seamless integration and data flow. Depot makes it easy to connect and get data from different sources, such as files, databases, event systems, and more—all without moving the data around.

• Depot Creation with DataOS CLI

Performing Exploratory Data Analysis

Learn how to explore and analyze data using the Workbench component of DataOS. Discover techniques and tools for conducting thorough exploratory data analysis (EDA) to better understand your data.

• Running your first data query

• Arranging and Transforming Data with Pivot in Workbench

• Writing Complex queries effortlessly with Workbench Studio

• Querying Diverse Data Sources with DataOS Workbench

Scanning Metadata

Learn how to utilize the Scanner stack within DataOS to extract metadata from a variety of external source systems such as relational databases, data warehouses, messaging services, dashboards, and more.

• Scan Metadata

Creating ETL Pipelines

Learn to create ETL pipelines tailored for both batch and real time data processing. DataOS provides necessary processing frameworks to efficiently extract, process and load data.

• Batch Data Processing using Flare Stack

• Store Query Results as Dataset with Flare

Deploying and Securing Data Applications on DataOS

Learn to deploy your data applications—whether developed with Streamlit, Django, Flask, or your preferred tool—on DataOS using the Container stack. Make sure that your application is accessible to only authorized users.

• Deploying Data Application Using Container Stack

• Listing Your App on DataOS Home

• Securing Deployed Data Application