This white paper provides information on how Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. NetApp’s systems, software, and services offer a number of advantages as a foundation for better operational results.
As today’s marketing analytics requirements become increasingly cross-channel and real-time, your organization can’t risk crude integration between marketing and analytics assets. Together, these assets must work like a well-oiled machine. So what can you do? Should you integrate standalone marketing and analytics systems? Watch this to discover answers from industry experts.
Christian Kane is an Enterprise Mobility Management Research Analyst with Forrester Research, where he helps clients develop and improve their desktop and mobile strategy. His research spans mobile hardware, mobile operating systems, mobile device management solutions, and mobile applications.
Congratulations: you are part of a small but growing group that’s taking advantage of the power of visualization. However, bringing your visualizations from “good” to “great” takes time, patience, attention to detail, and some basic knowledge of visual analysis best practices.
How is working with social media data relevant and accessible in the context of application development? How can working with social media data be made valuable as well as both economically and technically feasible?
Analytics can be a powerful tool, so now is a great time to learn more about web metrics.
Use this guide to understand the basics of what web analytics are and why they’re important, what metrics you should track, and how you can use this information to optimize your site and encourage customers to visit often and buy more.
Two sweeping trends have emerged in recent years: the proliferation of customer channels and the resulting explosion in the amount of data produced. This whitepaper focuses on how Knowledge Management adds an essential layer of value to customer-facing systems, which ultimately drives improved customer experiences.
Digitalization—the process of exploiting digital information to maximize business success—has increased the value of your data to the point where it is arguably your most important asset. This paper explains why mastery will not be possible with merely adequate integration technology.
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Big data and personal data are converging to shape the internet’s most surprising consumer products. they’ll predict your needs and store your memories—if you let them. Download this report to learn more.
This white paper discusses the issues involved in the traditional practice of deploying transactional and analytic applications on separate platforms using separate databases. It analyzes the results from a user survey, conducted on SAP's behalf by IDC, that explores these issues.
This paper explores the results of a survey, fielded in April 2013, of 304 data managers and professionals, conducted by Unisphere Research, a division of Information Today Inc. It revealed a range of practical approaches that organizations of all types and sizes are adopting to manage and capitalize on the big data flowing through their enterprises.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.