Name: Netezza DataBase Accelerator with 4gb
Brand: IBM
Price: 29.95 USD
Availability: InStock

IBM 00X6711 Netezza DataBase Accelerator with 4gb

The IBM Netezza DataBase Accelerator (model 00X6711) is a high-performance data warehousing appliance designed to accelerate complex analytics and large scale queries. With an integrated 4GB of dedicated memory, this accelerator delivers rapid data p... Read More

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$29.95

In Stock: 67
Manufacturer: IBM
Model or Part: 00X6711
Condition: Refurbished
Weight: 3.00lb

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Item Condition

New - Sealed or Open Box Condition
Excellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item

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Description

Overview

Key Features

Dedicated 4GB memory module for fast in-memory operations
Massively parallel processing architecture to handle large data volumes
Optimized Netezza SQL engine for streamlined query execution
Compact rack-mount design for easy deployment in existing data centers
Built-in compression and data distribution technology to reduce storage footprint

Technical Specifications

Model / Part Number: 00X6711
Manufacturer: IBM
Memory: 4GB DDR3 ECC
Processor: Multi-core Netezza ASICs with parallel execution cores
Storage Interface: SAS connectivity supporting up to 10TB of raw capacity per node
Network: Dual 1Gb Ethernet ports for high availability and load balancing
Power Consumption: Approx. 350 watts typical
Operating Temperature: 0 to 40 degrees Celsius
Form Factor: 2U rack-mountable unit

Typical Applications

Enterprise data warehousing and business intelligence reporting
Complex analytical workloads such as predictive modeling and risk analysis
High-speed ETL (extract, transform, load) processes for large data sets
Real-time analytics in finance, telecommunications, and healthcare sectors
Support for big data initiatives that require rapid query turnaround times

The IBM Netezza DataBase Accelerator with 4GB provides a powerful yet compact solution for organizations seeking to boost their analytical capabilities without the overhead of traditional server clusters. Its parallel architecture and built-in optimizations enable faster insights, helping businesses make data-driven decisions with confidence.