Скачать или смотреть iceDQ for High-Performance Data Certification & Hadoop: Scalable Testing for Big Data

Struggling to keep up with massive data volumes and complex transformations? iceDQ is a Java-based, high-performance data certification platform designed for Big Data and Hadoop environments. Legacy methods of manual testing simply don’t scale for modern data lakes and clusters.

iceDQ tackles these challenges with:

High Speed & Scalability: Real-time, in-memory processing to test large datasets in minutes, not hours.
Flexible Rules Engine: Supports SQL, Groovy scripting, and complex validation or reconciliation rules.
Load Balancing & Parallel Processing: Run multiple concurrent processes and users without performance bottlenecks.
Hadoop Edition: Native cluster integration with no limits on data size or processing power; scale linearly with your environment.
10x to 100x Performance Gains: Eliminate data bottlenecks and ensure faster, more reliable test cycles.

Whether you’re migrating to Hadoop, validating massive ETL pipelines, or need robust data governance across billions of rows, iceDQ ensures high throughput and accurate testing at enterprise scale.

Ready to leave manual testing behind? Visit iceDQ.com to request for a demo or to speak with our data experts. Because when it comes to big data, performance truly matters.

Request a Demo: https://icedq.com/request-a-demo
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About iceDQ: Ensuring Reliable Data From Development to Production with iceDQ.

iceDQ is a one-stop platform for data reliability with unified data testing, monitoring, and observability. Large banks, insurance, healthcare, and other enterprises rely on iceDQ in both development and production environments, ensuring data reliability and robust processes.

Streamlined Data Testing in Development: iceDQ is used to automate data migration testing, ETL data pipeline testing, big data lake testing, BI report testing, and more. It helps identify and fix data issues early in the data development lifecycle.

Proactive Monitoring and Observability in Production: iceDQ is used by operations to establish checks and controls for their data pipelines, and the AI-based observability engine ensures anomalies are detected and incidents are reported.
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Request a Demo: https://icedq.com/request-a-demo

Data Testing: https://icedq.com/product/data-testin...
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