WHITE PAPER:
Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality.
EGUIDE:
This E-Guide from our own editorial team discusses the best practices on different methods of implementing real-time BI capabilities to increase descision making.
EZINE:
In this e-zine, discover how big data impacts the nitty-gritty of power and cooling, networking, storage and data center expansion, examples of companies that are updating their data centers to deal with big data, why characteristics of big data other than its size should be closely considered when planning changes to your data center, and more!
WHITE PAPER:
Read this comprehensive white paper now to learn more about real-time business intelligence (BI) and the benefits of implementing agile BI into your current BI strategy.
WHITE PAPER:
This informative white paper covers which facets of data and analytics are advantageous for the decision process and other organisational transactions. Discover how advanced analytics mitigate performance problems that prevent access to data.
WHITE PAPER:
Learn how alternative methods for replicating changes from an Oracle database to a Hadoop cluster can help you maintain real-time or a near real-time copies of the tables your organization needs to meet its data analytics requirements in this brief from Dell.
EBOOK:
This expert handbook offers practical advice that will help your organization evaluate, plan, and manage a real-time business intelligence (BI) and analytics deployment.
WHITE PAPER:
Traditional computing systems are built to analyze only structured data, or to run analytics in batch reporting jobs. Explore how Watson is an example of the new kind of workloads that businesses will apply to achieve their business goals.
EGUIDE:
This expert guide gives you an understanding of the differences between real-time and near-real-time analytics and explores cloud platform choices are when it comes to real-time analytics. In addition, explore why telcos need real-time analytics to fuel their success and how to accomplish this.
