Resource Library

Microsoft SQL Server has evolved over the years as a scalable, robust database management system and is now competing in the VLDB (Very Large Database) space with Oracle and IBM. The market share for the product continues to grow, based on total cost of ownership and ease of use. This white paper outlines some of the important fundamentals of Microsoft SQL Server 2008 that every DBA should know.

The definition of cloud computing depends largely on whether you are a consumer or producer. The public cloud is geared more for the individual consumer or small company, while the private cloud is geared more for a medium-to-large company. In addition, the private cloud is branching out to incorporate the ability to have some data and applications serviced from the public cloud. This white paper examines the different types of cloud computing and shows what cloud computing can offer you.

The flexibility, reduced cost, and mobility of cloud computing have made the concept a hot topic. Before implementing this method of computing, however, it is important to consider the security of the "cloud." In this white paper, you will learn some of the risks and benefits of cloud computing to be sure it is the right solution for you.

Learning how to program and develop for the Hadoop platform can lead to lucrative new career opportunities in Big Data. But like the problems it solves, the Hadoop framework can be quite complex and challenging. Join Global Knowledge instructor and Technology Consultant Rich Morrow as he leads you through some of the hurdles and pitfalls students encounter on the Hadoop learning path. Building a strong foundation, leveraging online resources, and focusing on the basics with professional training can help neophytes across the Hadoop finish line.

This white paper has three main goals. The first is to generate a better understanding of the cloud in both the business and IT communities. The second is to describe the major components of vCloud and the virtual datacenters they provide. The third is help businesses visualize and understand how vClouds could be beneficial in addressing their specific IT needs.

Cloud forensics involves exploring issues a company and its forensic examiner may face when suffering a breach of company information in the cloud. If they need to collect information from the cloud to determine what happened, to determine what was lost or compromised, for remediation, for civil litigation, or for some other action, what issues will they face? And, how can they collect the data? Although this white paper discusses many legal issues, this is not a legal "how-to" article. The purpose is to provide some insight into cloud forensics.

VMware vCloud Director fashions the provisioning of the software-defined datacenter layer to allow for a full virtual datacenter deployment within a short period of time. A vCloud consists of many layers and can quickly become a complex architecture. Before any deployment, requirements should be defined so that the vCloud can be designed to offer those services needed. It is imperative to understand the many components of vCloud, how each vCloud construct fits, which allocation models are available, and what network options can be chosen.

Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).

Amazon Web Services (AWS) offers increased agility, developer productivity, pay-as-you-go pricing and overall cost savings. But you might wonder where to start, what pitfalls exist and how can you avoid them? How can you best save time and money? Learn what you need to know and where to start before launching an AWS-hosted service.

AWS has introduced Auto Scaling so that you can take advantage of cloud computing without having to incur the costs of adding more personnel or building your own software. You can use Auto Scaling to scale for high availability, to meet increasing system demand, or to control costs by eliminating unneeded capacity. You can also use Auto Scaling to quickly deploy software for massive systems, using testable, scriptable processes to minimize risk and cost of deployment.