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Check out this paper and discover how to deploy MongoDB onto Red Hat Enterprise 6.2. In addition to a step-by-step process for deployment, you'll also learn how to take advantage of features of the underlying system, several deployment scenarios for high performance database read and writes, and gain an in-depth look at MongoDB.
PRESENTATION TRANSCRIPT:
Read this presentation transcript now and learn about these advances that are possible by combining the Intel Xeon processor E5-2600 product family with IBM DB2 10 for Linux, Unix and Windows.
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This document is intended to help organizations deal with the most critical of those threats by providing a list of the top ten database vulnerabilities as identified by Imperva's Application Defense Center.
EGUIDE:
This e-guide from SearchCIO.com takes a look at one organization's quest to find the right database appliance that suited their needs. Read now for an in-depth analysis of current database appliance offerings, as well as relevant considerations for database security.
EGUIDE:
When developing and deploying a database, organizations should never rely solely on their developers to provide security. This expert e-guide offers tips for writing secure SQL database code to ensure you build appropriate security controls for the specific features and functionality you need.
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In this report, get an in-depth comparison between Oracle Databases and Real Application Clusters (RAC) and IBM Informix with regards to high availability and data replication.
EGUIDE:
Database-as-a-Service (DBaaS) may be easy to deploy and easy to manage, but it's not without its own security challenges. Evaluating a provider is an important first step, but where do you go from there? In this e-guide, we explore 3 key steps to ensuring secure cloud database services. Discover how to make your DBaaS migration safe and successful.
EZINE:
Organizations are faced with the double challenge of having to secure a growing volume of endpoints, and dealing with an increasing number of security threats.
WHITE PAPER:
This paper offers an overview of Oracle Data Mining, detailing how you can build predictive models to better target customers, develop detailed customer profiles and detect and prevent fraud. Read on and learn how this data mining tool eliminates data extraction and movement, delivers the lowest TCO compared to traditional vendors and more.