Oracle Database 11g Product Family
This white paper provides an overview of the various feature sets available within the Oracle Database family of products. Built using a reliable database architecture, these products provide the necessary foundation to successfully deliver more information with higher quality of service and efficiently manage change within the environment to deliver better value.
Application Performance Starts with Database Performance Analysis
Application performance management (APM) tools have helped create a new corporate culture of continuous performance monitoring and improvement. But these tools generally tend to focus on application-level issues, while database and infrastructure-related issues go undetected.
This white paper examines the gap in the monitoring capabilities of traditional APM tools, which so often fail to identify the true root of problems, particularly as production performance issues often lie in the relational databases that run the majority of enterprise applications.
This paper also introduces a subcategory of APM solutions—application database performance management (ADPM) tools—that aims to give a unified perspective of a system’s overall performance. Read the report to discover the benefits of putting an ADPM tool in place and help you build a business case.
Web-scale 101: From Hyper Convergence to Cloud Infrastructure
Learn the new approach to data center infrastructure and how it could influence your business.
Some questions this web-scale guide delves into include:
- What is web-scale and what are its key characteristics?
- What are the potential benefits to enterprise IT from web-scale?
- What are the different approaches to bringing web-scale principles and technologies into enterprise datacenters?
- Are web-scale principles essential to designing hyper-converged solutions?
Data Blending for Dummies
Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.
Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.
Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.
Operational Risk Management in the World of Big Data
Today, with operational risk emerging as a primary risk threat in all major economies, market players are looking to the potential of big data as a primary driver of next-generation operational risk management. Drawing on current IBM research in the field of big data, this paper shows how operational risk solutions can harness the potential of big data to inform risk management scenarios and analytics.
Software-defined Storage for Dummies (Nutanix Special Edition)
In this e-book about software-defined data storage (SDS), learn what SDS is, what the technologies are that make new storage srategies possible, and why software-defined storage is poised to permanently change data centers.