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HPCC Features

  • icon_check Data Ingestion Collects structured, semi-structured, and unstructured data from multiple sources into its distributed clusters.
  • icon_check Data Integration Combines, merges, and reconciles data from heterogeneous sources into a unified format for downstream use.
  • icon_check ETL Processing (Extract, Transform, Load) Executes data extraction, complex transformation, and efficient loading using the Thor cluster engine.
  • icon_check Batch Data Processing Supports large-scale, high-throughput batch data operations for cleansing, standardization, and consolidation.
  • icon_check Index Creation and Management Builds high-performance indexes to support rapid querying and retrieval within large datasets.
  • icon_check Distributed Query Execution Executes queries in parallel across nodes via the Roxie cluster, ensuring fast response at scale.
  • icon_check Real Time Query Serving Delivers indexed queries through APIs like SOAP, REST, XML, and SQL, enabling live operational insights.
  • icon_check Data Profiling Performs statistical and structural analysis of datasets to detect patterns, anomalies, and metadata.
  • icon_check Data Cleansing Identifies, corrects, and removes errors or inconsistencies to improve dataset quality.
  • icon_check Data Consolidation Aggregates datasets from disparate systems into a single, coherent repository.
  • icon_check Data Lake Functionality Stores raw, semi-structured, and unstructured data for exploration and advanced analytics.
  • icon_check Workflow Orchestration Defines and executes workflows using ECL (Enterprise Control Language) to control data processes.
  • icon_check Parallelized Analytics Runs analytics jobs (classification, clustering, regression, etc.) in parallel across distributed clusters.
  • icon_check Machine Learning Execution Provides built-in libraries for ML models such as decision trees, random forests, and regressions.
  • icon_check Data Export and Delivery Outputs processed or queried data via standard interfaces (SQL, REST, XML, JSON, CSV).
  • icon_check Cluster Resource Management Allocates compute and storage resources dynamically across Thor and Roxie clusters.

HPCC Specifications

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LexisNexis Risk Solutions Company Details

Brand Name LexisNexis Risk Solutions
Information At LexisNexis Risk Solutions®, we believe in using data for good to solve problems and make a positive impact on people, industry and society.
Founded Year 2000
Director/Founders LexisNexis Risk Solutions
Company Size 1000+ Employees
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