Unleash Your Data Teams with Genesis Data Engineer Agents

Scale data teams with shortened development cycles to meet the never-ending demands of business reporting requirements by automating the construction of pipelines whether they are in DBT, Dagster, etc.
Use case

How Genbots Enhance Data Engineering

Automate Data Pipeline Construction

Problem
Data teams that have the business and technical knowledge are a bottleneck that can't keep up with business demand for data products and reporting.
Solution
Genbots automate pipeline orchestration, ensuring seamless data flow, real-time adjustments, and minimal manual intervention.

Autonomously Catalog Data Assets with Semantics

Problem
Maintaining semantic definitions and access control roles in data catalogs is a resource-heavy manual task leaving them stale and unusable.
Solution
Automatically populate catalog entries using business knowledge, semantic data understanding, and certified entries ensuring they always match the underlying datasets.
Key features

Capabilities for Genesis Data Engineer Agents

Key features

Capabilities for Genesis Data Engineer Agents

Database Tools

Find semantically relevant data sets, run SQL queries, execute Python dataframe code.

Process Runner Tools

Automate and execute multi-step workflows with ease.

Snowflake Semantic Tools

Build and optimize data models in Snowflake.

Code Execution Manager

Execute, store, update structured scripts (Python/SQL).

Web Access Tools

Enrich workflows with automated web data retrieval.

Optimize Your Workflow with Genesis Today

Leverage intelligent data agents to empower your team to drive impactful results.
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