1 / 27

Informix Red Brick Warehouse

Informix Red Brick Warehouse. State Of Technology Rob Totin Frank Lopinto Joe Carr. Global Business Environment . Unprecedented dynamics Constantly changing market conditions Particularly E-Commerce Exponential growth in the quantity, complexity and scope of data

darnell
Télécharger la présentation

Informix Red Brick Warehouse

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Informix Red Brick Warehouse State Of Technology Rob Totin Frank Lopinto Joe Carr

  2. Global Business Environment • Unprecedented dynamics • Constantly changing market conditions • Particularly E-Commerce • Exponential growth in the quantity, complexity and scope of data • Need for better knowledge management and analytical capabilities

  3. Get In Front Of The Business Intelligence Curve • Red Brick Warehouse Empowers Business with smart solutions for: • data warehouses-open relational databases • web warehouses-web traffic analysis • analytic data marts- “any question, of any data…Fast!”

  4. INFORMIXDecision Frontier Solution • Red Brick Warehouse • Proven time-to-market advantages • Specialized server technology • Optimized for: • analytical data mart solutions • complex queries • fast load performance • high-capacity / high-performance processing • efficient management of very large databases

  5. The Red Brick Advantage An Independent Analysis • In 1998, Red Brick Warehouse released version 5.1, claiming that it was the fastest and most scalable relational database for data warehousing, data marts, OLAP and data mining.

  6. The Red Brick Advantage • Skeptics agreed that relational databases worked fine for data warehouses and data marts, • However, they questioned the use of relational databases for OLAP and Data Mining, believing that: • special functionality was needed for data mining and • OLAP needed multidimensional modeling to drill around various dimensions

  7. The Red Brick Advantage • Red Brick Warehouse version 5.1 has three components: • Database serve - designed to support databases of 500Gb plus • Load subsystem - transports data, checks referential integrity and updates indexing in one integrated run • Gateway technologies - for client / server access

  8. The Red Brick Advantage • Other design advantages: • Uses compressed indexes to reduce storage • Query partitioning for optimal parallelism • Multiple join algorithms to overcome performance problems • Uses “hybrid” index types to mix column domains • RISQL to simplify repetitive DSS queries

  9. The Red Brick Advantage • Red Brick Data Mine Option - for OLAP and data mining: • The Red Brick premiseis: “take the mining tool to the data instead of taking the data to the mining tool • Red Brick integrated a neural network, decision trees and statistical algorithms into the core of the RDBMS server to allow data mining directly on the Red Brick Warehouse database

  10. The Red Brick Advantage • Red Brick Data Mine Option • Users can create multidimensional models that appear as tables • When data is entered , calculations are performed and results are stored in model tables • Tables can be “mined” using RISQL • Tables can be created using GUI-based tools or extended SQL statements

  11. The Red Brick Advantage • The Red Brick Data Mine approach to OLAP and Data Mining: • saves considerable time in data extraction, transformation, shipping and loading data • minimizes redundant storage of data • reduces administrative processing by consolidating security and admin tasks • mappings between OLAP and warehouse data are defined in the metedata

  12. The Red Brick Advantage • New Features in Red Brick Warehouse 5.1 • Red Brick Vista - enhancements to manage and process aggregate queries for life cycle management • Aggregate Advisor - can audit selected aggregates and compare estimated gains to actual system usage to calculate cost formulas for each aggregate. This allows DBAs to choose which aggregates to create

  13. The Red Brick Advantage • New Features (cont.) • Transparent Query Rewrite - analyzes complex SQL queries and transforms the queries to use the appropriate stored aggregate. Allows administrators to edit aggregation strategies without affecting existing applications. • SQL- Backtrack - supports online, incremental and parallel backups.

  14. The Red Brick Advantage • New Features (cont.) • Table Management utility - a parallel loader which loads aggregates automatically when a base table is updated • Red Brick Warehouse Administrator -a GUI-based tool to control data warehousing tasks, especially focusing on segmentation and partitioning.

  15. The Red Brick Advantage • LIMITATIONS • All queries limited to 8k on row size of intermediate and final result tables • Important because: • Joining large descriptive columns from the dimension tables to a wide fact table could exceed this limit

  16. The Red Brick Advantage • LIMITATIONS • The database server has a default stack size of 5MB • Important because: • The server will fail if it runs out of stack space • This may be problematic for data mining operations

  17. The Red Brick Advantage • INDEPENDENT CONCLUSIONS • Red Brick Warehouse’s designs are aimed at providing: • any data warehouse query • of any complexity • as fast as possible • on very large data warehouses

  18. The Red Brick Advantage • INDEPENDENT CONCLUSIONS • Red Brick Warehouse caters to large data warehouses: • in data loading and indexing • administrative controls • backup and recovery facilities • all of which promote a high degree of parallelism

  19. The Red Brick Advantage • INDEPENDENT CONCLUSIONS • The Red Brick Warehouse approach to OLAP is unique • with OLAP functionality built into the relational database server • most OLAP venders view as a specialized area needing a multidimensional server • taking OLAP function to the data saves considerable data duplication and upload/reload processing

  20. Red Brick Warehouse Background • 1990 - First release of Red Brick Warehouse • Based on “Star Schema” developed by Ralph Kimball • Quickly gained support in the field of data warehousing and data mining • Company fell on hard financial times in 1998

  21. Red Brick WarehouseThe buy-out • Informix, Inc., a world-wide player in the high-end OLTP market begins negotiations with Red Brick in the Fall, 1998 • By year-end, the deal was done, with Informix, Inc. paying $35 million for Red Brick Warehouse • Informix officials were tight-lipped about intentions for Red Brick

  22. Informix / Red Brick Warehouse • What the deal did for Informix • gave Informix much stronger data warehousing capabilities • gave Informix new decision-support and data movement capabilities • gave Informix superior data warehouse talent • gave Informix significance presence in key markets • gave Informix the “best in class” in data mart technology

  23. Informix / Red Brick Warehouse • Between Then and Now • January, 1999 -Informix officials make it clear that Informix will continue to provide separate support for its two flagship products, Informix Dynamic Server and Red Brick Warehouse • July, 1999 - Informix CEO, Dexmier, says Informix/Red Brick will focus on the Internet as a revolutionary new market for business intelligence. Soon to be introduced are new Red Brick products, i.reach and i.sell, tools to analyze web-based traffic.

  24. Informix / Red Brick Warehouse • Between Then and Now • August, 1999 - introduces Red Brick Decision Server for advanced analysis of click-stream data. It supports variable-length character strings allowing storage of URLs while minimizing disk space use. Informix is positioning Red Brick to provide data warehousing and data mining of web traffic.

  25. Informix / Red Brick Warehouse • Between Then and Now • August, 1999 -Beating all previous results, Red Brick Warehouse, on a SUN platform, loaded, queried and scaled a data warehouse to more than 300GB of raw data with up to 600 concurrent users. • Table loading at 14GB/hour was 2.3 times faster than prior tests • Simulated an environment of 63 stores, 19,000 products, 3.6 million transactions/day and 35 promotions • The data warehouse included two fact tables and five dimension tables

  26. Informix / Red Brick Warehouse • Where Red Brick Warehouse is Today • Informix will not bury Red Brick Warehouse in its offerings of Informix products • Informix intends to leverage the name recognition and reputation of Red Brick Warehouse to the fullest extent possible • Informix markets Red Brick Warehouse as “an integral piece of Informix Decision Frontier Solution Suite”

  27. Informix / Red Brick Warehouse • Conclusion • The global business environment is changing at an unprecedented rate • The quantity, complexity and scope of data is growing exponentially • Business must stay in front of the business intelligence curve • This is why Informix / Red Brick Warehouse should be the choice for business critical data marts and data warehousing

More Related