Sold by: Miri Infotech
Deployed on AWS
Free Trial
AWS Free Tier
Amundsen is a kind of metadata-driven application, which is the holy grail of future applications.
Overview
Amundsen is used to enhance the productivity of data analysis, data scientists and engineers during interaction with data. It does that by indexing data resources (tables, dashboards, streams, etc.) and powering a page-rank style search based on usage patterns (e.g. high queried tables show up earlier than less queried tables).
Intellectual Property Statement This offer inculcates a wide range copies of open source and free software, but the Copyrights, Patents and Trademarks are legal protections for original owner.
Highlights
- Elasticsearch is used to power frontend metadata searching.
- Apache Atlas as the persistent layer, to offer various metadata.
- Data ingestion library for developing metadata graph and search index. Python script or an Airflow DAG is used to import data.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 lts
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
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Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.50 |
t3.micro | $0.50 |
t2.micro | $0.50 |
t2.2xlarge | $0.50 |
z1d.12xlarge | $0.50 |
r5a.2xlarge | $0.50 |
m5d.4xlarge | $0.50 |
c5n.4xlarge | $0.50 |
x1e.xlarge | $0.50 |
t2.medium | $0.50 |
Vendor refund policy
The instance can be terminated at anytime to stop incurring charges
Legal
Vendor terms and conditions
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Content disclaimer
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Third release
Additional details
Usage instructions
Resources
Vendor resources
Support
Vendor support
All your queries are important to us. Please feel free to connect. 24X7 support provided for all the customers. We are happy to help you https://miritech.com/contact-us/ (510) 298-5936 Mailto: contact@miritech.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Miri Infotech
By Alation
Top
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In Data Catalogs, Data Governance
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AI generated from product descriptions
Metadata Storage Layer
Apache Atlas serves as the persistent layer to store and manage various metadata.
Data Resource Indexing
Indexing of data resources including tables, dashboards, and streams to enable discovery and search capabilities.
Data Ingestion Framework
Data ingestion library supporting Python scripts and Apache Airflow DAGs for importing data and building metadata graphs.
Usage-Based Search Ranking
Search results ranked by usage patterns where frequently queried resources appear with higher priority than less frequently accessed resources.
Data Asset Discovery and Search
Powerful search algorithms combined with browsing capabilities to make data assets including tables, views, BI dashboards, SQL snippets, pipelines, and business metrics instantly discoverable.
Automated Data Lineage Construction
Automatic parsing of SQL query history to construct data lineage and detect personally identifiable information (PII) data for dynamic access policy creation.
Data Quality Profiling
Automatic generation of data quality profiles with variable type detection, frequency distribution analysis, missing values identification, and outlier detection capabilities.
Multi-Platform Integration
Deep integrations with popular data tools including Snowflake, Redshift, Databricks, Looker, and Power BI to create a unified metadata workspace.
Data Governance and Access Management
Automated governance capabilities including PII detection and creation of dynamic access policies for managing data ecosystem permissions.
Metadata Centralization
Centralizes metadata from disparate sources into a unified platform for discovering, describing, governing, and managing data assets including data, BI reports, and AI models.
Behavioral Analysis Engine
Incorporates a Behavioral Analysis Engine to provide advanced analytics and insights across data assets.
Data Lineage and Tracking
Enables documentation of insights and tracking of data lineage across teams for transparency and compliance purposes.
Self-Service Analytics
Supports self-service analytics capabilities allowing users to independently discover and analyze data assets.
AI Governance Framework
Provides an AI governance framework that ensures data quality, transparency, and compliance for AI initiatives.
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