HPCC

Real Time Query Serving

Delivers indexed queries through APIs like SOAP, REST, XML, and SQL, enabling live operational insights.

Data Profiling

Performs statistical and structural analysis of datasets to detect patterns, anomalies, and metadata.

Data Cleansing

Identifies, corrects, and removes errors or inconsistencies to improve dataset quality.

Data Consolidation

Aggregates datasets from disparate systems into a single, coherent repository.

Data Lake Functionality

Stores raw, semi-structured, and unstructured data for exploration and advanced analytics.

Workflow Orchestration

Defines and executes workflows using ECL (Enterprise Control Language) to control data processes.

Parallelized Analytics

Runs analytics jobs (classification, clustering, regression, etc.) in parallel across distributed clusters.

Machine Learning Execution

Provides built-in libraries for ML models such as decision trees, random forests, and regressions.

Data Export and Delivery

Outputs processed or queried data via standard interfaces (SQL, REST, XML, JSON, CSV).

Cluster Resource Management

Allocates compute and storage resources dynamically across Thor and Roxie clusters.