Very Large Databases White Papers

(View All Report Types)
IBM Informix in hybrid workload environments (Bloor Research)
sponsored by IBM
WHITE PAPER: This white paper from Bloor Research examines how IBM's database Informix can be used in a hybrid transactional/analytics environment or for data warehousing applications in today's big data world.
Posted: 11 Dec 2013 | Published: 31 Aug 2012

IBM

Sybase IQ "Quick Start Guide"
sponsored by Sybase, an SAP company
WHITE PAPER: Read this white paper to learn the advantages of column-based databases, and see if it's right for your organization. Some of the key findings include how column-based databases perform faster and require less maintenance, while also performing better with analytic applications.
Posted: 09 Aug 2012 | Published: 09 Aug 2012

Sybase, an SAP company

Expert Assistance for Database Administration
sponsored by Rackspace Technology
WHITE PAPER: Managing databases is key to a stable application environment. Learn how one leading partner supplements your DBA team.
Posted: 04 Jun 2015 | Published: 04 Jun 2015

TOPICS:  Databases
Rackspace Technology

IBM Informix Warehouse Accelerator
sponsored by IBM
WHITE PAPER: To improve the performance of data warehouse queries while minimizing manual tuning, DBAs can turn to the IBM Informix Warehouse Accelerator. Access this white paper to learn more about how fast response time generates quick answers, quick insights, and an agile business.
Posted: 29 Aug 2013 | Published: 31 Oct 2011

IBM

How to Consolidate, Optimize, and Deploy Oracle Database Environments Including Multitenant Databases
sponsored by Oracle Corporation
WHITE PAPER: In this comprehensive white paper, get an overview of Oracle Optimized Solution for Oracle Database, which creates an ideal infrastructure for consolidating database services. Learn how it defines a flexible architecture for delivering fast, scalable, and continuous service for mission-critical database applications.
Posted: 07 Feb 2014 | Published: 31 Dec 2013

Oracle Corporation

A Technical Overview of the Oracle Exadata Database Machine and Exadata Storage Server
sponsored by Oracle Corporation UK Ltd
WHITE PAPER: Many savvy organizations searching for the right out-of-the-box technology offerings are turning to Oracle in an effort to remain competitive. Access this informative resource to find an in-depth technical overview of the Oracle Exadata Database Machine and Exadata Storage Server.
Posted: 15 Jul 2013 | Published: 30 Apr 2011

Oracle Corporation UK Ltd

Mongo DB Operations Best Practices
sponsored by MongoDB, Inc.
WHITE PAPER: Access this informative white paper to learn the ins and outs of Mongo DB, an open-source document-based database, and discover best practices for setup, configuration, scaling, data backup, and more.
Posted: 16 Apr 2013 | Published: 28 Feb 2013

MongoDB, Inc.

Customers Standardize on Oracle Database 11g (Reference Booklet)
sponsored by ORACLE APAC
WHITE PAPER: Read this comprehensive customer reference booklet today to explore the case studies of over 90 different companies around the world who have achieved business benefits by upgrading and standardizing on Oracle Database 11g. Learn how they have seen cost reductions, increased security, improved performance, and more.
Posted: 25 Apr 2013 | Published: 31 Jul 2011

ORACLE APAC

IBM PureData System for Analytics, powered by Netezza technology
sponsored by IBM
WHITE PAPER: Many companies are challenged by time-to-value for enabling new analytical capability. In this white paper, learn how to integrate database, server, and storage into a single, easy-to-manage appliance that requires minimal setup and ongoing administration while producing faster and more consistent analytic performance.
Posted: 22 Nov 2013 | Published: 31 Jan 2013

IBM

Big data, big potential: Find analytics success with the right database foundation
sponsored by IBM
WHITE PAPER: In this resource, learn how the right database foundation can help your organization facilitate real-time analytics and capitalize on the full potential of big data.
Posted: 10 Dec 2013 | Published: 31 May 2013

IBM