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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Genie Code is an advanced AI tool designed specifically for data teams, providing the capability to analyze, construct, and manage intricate data workflows within the Databricks environment. This intelligent agent autonomously orchestrates and implements multi-step tasks while adjusting to the unique data and governance frameworks of an organization, boasting specialized skills in data engineering, data science, machine learning, and business intelligence. Leveraging the metadata, semantics, and governance of Unity Catalog, Genie Code can pinpoint authoritative tables, metrics, and assets, comprehend dependencies among various data and AI systems, and adhere to established access restrictions. In the realm of data science, it excels in locating and cleansing data, scrutinizing datasets, validating hypotheses, and producing easily shareable reports. For machine learning processes, it handles feature engineering, model training and assessment, deployment, endpoint setup, and fine-tuning performance. Additionally, data engineers can utilize natural language to streamline ETL processes, enhance query performance, and construct Spark Declarative Pipelines, making their workflows more efficient and user-friendly. Overall, Genie Code empowers data teams to work more effectively and innovate rapidly in their data-driven initiatives.

Description

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Databricks
Amazon Redshift
Apache Kafka
Apache Spark
Azure SQL Database
Azure Synapse Analytics
Daft
DataNimbus
DinMo
DuckDB
Google Cloud BigQuery
Google Cloud Platform
LangChain
Microsoft Fabric
MySQL
Noma
Snowflake
Starburst Enterprise
Trino
Unstructured

Integrations

Databricks
Amazon Redshift
Apache Kafka
Apache Spark
Azure SQL Database
Azure Synapse Analytics
Daft
DataNimbus
DinMo
DuckDB
Google Cloud BigQuery
Google Cloud Platform
LangChain
Microsoft Fabric
MySQL
Noma
Snowflake
Starburst Enterprise
Trino
Unstructured

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Databricks

Founded

2013

Country

United States

Website

www.databricks.com/product/genie/code

Vendor Details

Company Name

Databricks

Founded

2013

Country

United States

Website

www.databricks.com/product/unity-catalog

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Alternatives

Alternatives

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