We facilitate painless transition to Hadoop ecosystem for the data scientist
Universal environment to work with analytic models on the cluster
.
Fast adding new data sources
.
Data analysis in Python
.
Putting models into production and managing the computations on the cluster
.
Monitoring model performance on the cluster
.
Fine-tuning models
.
Export of results to external systems
COMFORTABLE ENVIRONMENT
FOR DATA ANALYSIS
No more conflicts between analytics and dev-ops.
In the intuitive UI of Data Analytics module,
your data scientist can study the data,
develop mathematical models and algorithms
and put them into production directly on the Hadoop cluster.
We have made Hadoop easy for analysts!
Hadoop-cluster
Easy setup
Transparent mechanism
Tool
Hadoop-cluster
Working on Hadoop cluster comfortably in your familiar Python and Jupiter.
Easy setup
Easy adjustment of data lifecycle and machine-learning models from import from external sources to export to any systems.
Transparent mechanism
Transparent mechanism converting analytical research into industrial code that runs on Hadoop cluster.
Tool
A visual tool to monitor all processes running on the cluster.
Analysts
Cabinet
- Create, save and edit you projects.
- Separate sample data for training and model control.
- Use SQL queries to calculate parameters.
- Put models into production directly from the analyst's office.
Data Export UI
- Upload data to external databases or files.
- Use data encryption.
- View import result to spot mistakes.
Model Performance
monitoring
- Intuitive history of launches.
- Alerts of model running errors.
- Tracking interconnected calculations.
Control of
Key Metrics
for Models
- Dashboards with current metric values
- Alerts of metric deviation from defined values.
- Interactive retrospective charts for each metric.
- One-click switching to model fine-tuning.
Data Import UI
- Support SQL queries to import data from the database into Hadoop.
- Manage DBMS access.
- Start and restart import and processing.
- View import result to spot errors.
Send an application and get a product presentation
Yevgeniy Boycachev,
Data Analytics Product Manager
