Saturday Jul 05, 2008

Sun and Greenplum Appliance

Greenplum Appliance Data Warehousing Without Limits.

The Data Warehouse Appliance powered by Sun and Greenplum is the industry's first cost-effective, high-performance super-capacity data warehouse appliance. Purpose-built for high-performance, large-scale data warehousing, the solution integrates best-in-class database, server, and storage components into one easy-to-use, plug-and-play system.

At the heart of the Data Warehouse Appliance is the Sun Fire™ X4500 server powered by Dual-Core AMD Opteron™ processors. The Sun Fire X4500 server
represents a revolution in server architecture for data warehousing. With up to 24 terabytes of on-board, high-density storage (48 drives in a 4 RU system), it delivers industry leading compute power, storage density, and near-zero latency access to data in a single, integrated solution. The hot-swappable disks provide 2 gigabytes per second serial read throughput per system. Utilizing the massively parallel processing architecture provided by Greenplum's MPP PostgreSQL database, the Data Warehouse Appliance
distributes data across all disks in the system, enabling query-in-storage processing for today's demanding data warehousing applications. The Data Warehouse Appliance powered by Sun and Greenplum changes the game in data warehousing with low acquisition costs, quality, global support, and technical expertise.The Data Warehouse Appliance truly transforms the economics of data warehousing.

Value Proposition

  • Data Warehouse Appliance powered by Sun and Greenplum
  • Open Source : PostgreSQL
  • Solaris™10 Operating System and Solaris ZFS
  • Sun Fire™ x4500 servers with 2 Dual-Core AMD Opteron processors
  • Sun Fire x4100 server (parallel optimizer planner)
  • 1 TB/mn Scan
  • Scale to hundreds of terabytes
  • Massively Parallel Processing
  • MPP PostgreSQL
  • Parallel Loading 500GB/hour
  • Modular Design
  • 100 TB/rack (DW100 hardware)
  • 9 KW/rack
  • Global Support
  • Sun Solution Center
           

Thursday Jan 17, 2008

Business Intelligence

Business Intelligence

Business Intelligence drives Business and IT Performance

In today’s highly competitive business climate, making better decisions faster
can mean the difference between surviving and thriving. The challenges are
managing the exponential growth of data in a cost-effective and secure manner,
while transforming relevant data into information for decision support needs. Sun takes the cost and complexity out of today’s business intelligence and data warehouse requirements with a single open platform whose architecture can scale to meet your entire needs from deployment today to meeting your growth needs tomorrow. The results are faster access to information, the ability to make better decisions quickly and speed up time to market.

Sun has more 2000 customers references in business intelligence and data warehousing in the world on all industries (bank/finance, manufacture, retail, government, telco...)
Sun Microsystems developed a network competenties and expert in Business Intelligence and Data Warehousing around the world and working with its partners : SAS, Oracle, Informatica, SAP, etc.
The Sun Microsystems Business Intelligence Solutions integrate specific services around Extraction, Transformation and Loading,  Database, Reporting, OnLine Analytical Processing, Technical architectures, Proof-of-Concept and Benchmarks.

See performance results
DMreview, Wintercorp, TPC           

The qualification of the Business Intelligence technical architecture is declined according three assumptions :

  1. Data storage volume : for disk sizing. technical architecture support the data volume. The useful volume is the raw volume for operational systems with index, agregats, metadata and data work for database system.
  2. Extract, transform and load : for extraction, transformation and data loading. The technical architecture support for ETL process is based on the data flow volume and data processing.
  3. Users volume : for sizing users activities (Reporting, OnLine Analytical Processing). The technical architecture support for reporting process is based on concurrent users number on Data Warehouse and Data Marts.
Our Technology Assets
           
About

Business stakes are changing, the IT infrastructure must be increasingly reactive to significantly reduce Time To Market. Today, we have the technology and methodology addressing these new business challenges.

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