Dataslayer.ai
Dataslayer.ai is an AI-powered data preparation and data management platform. It allows users to easily connect, prepare, and manage data for analytics and machine learning. Key capabilities include automated data discovery, profiling, cleaning, transformation, and cataloging.
data-preparation
data-cleaning
data-transformation
data-cataloging
machine-learning
Dataslayer.ai: AI-Powered Data Preparation & Management Platform
Automate data preparation and management with Dataslayer.ai, an AI-powered platform for analytics and machine learning.
What is Dataslayer.ai?
Dataslayer.ai is an end-to-end artificial intelligence (AI) powered data preparation and data management platform designed to help organizations get more value from their data. It provides capabilities across the full data lifecycle including:
- Data Discovery - Automatically crawl data sources like databases, data warehouses, file shares and more to create a searchable data catalog.
- Data Profiling - Profile and assess data to understand quality issues, risks, lineage and dependencies.
- Data Preparation - Intelligently automate complex, manual data preparation tasks like parsing, standardization, enrichment, cleansing, editing and more to make data analysis-ready.
- Data Governance - Apply data quality rules, manage sensitive data, set user permissions and track data lineage to enable trust and governance.
- Operationalization - Move prepared data into target systems like databases, data warehouses, lakes and apps while managing pipelines and SLAs.
Key benefits include increased analyst productivity, trusted data pipelines, reduced time to insight, and governance and auditability over enterprise data. Compatible with all major on-premise and cloud data infrastructure.
Dataslayer.ai Features
Features
- Automated data discovery
- Data profiling
- Data cleaning
- Data transformation
- Data cataloging
Pricing
- Freemium
- Subscription-Based
Pros
Automates tedious data preparation tasks
Saves time compared to manual data prep
Makes data ready for analytics and ML
Centralized data management
Intuitive graphical interface
Cons
Limited free plan options
Can be complex for non-technical users
Less customizable than coding data pipelines
Requires cloud infrastructure
Official Links
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