A Data Warehouse is a computer system designed for archiving and analyzing an organization's historical data, such as sales, salaries, or other information from day-to-day operations. Normally, an organization summarizes and copies information from its operational systems to the data warehouse on a regular schedule, such as every night or every weekend; after that, management can perform complex queries and analysis on the information without slowing down the operational systems.
If the data center is the heart of the organization then the data center operators are the eyes. But today’s complex business environments also demand agility and flexibility to meet the requirements of your organization. Download this free paper to improve the data center visibility in your organization.
There is a visible change happening within the modern business. New types of users, applications and use-cases are all emerging pushing growing business drivers forward. In this whitepaper, you’ll learn how HP ProLiant servers create a comprehensive and cost-effective object storage solution to address an organization’s next-generation scale-out storage and business needs.
Proactive capacity management ensures optimal availability of four critical data center resources: rack space, power, cooling and network connectivity. All four of these must be in balance for the data center to function most efficiently in terms of operations, resources and associated costs.
This piece explores some of the social, technological, data, and business trends driving the visual organization. We will see that employees and organizations are willingly representing—or, in some cases, being forced to represent—their data in more visual ways.
Big data requires ever more powerful means to process and analyze growing stores of data, being collected at more rapid rates, and with increasing diversity in the types of data being sought—both structured and unstructured. In-memory computing’s rapid rise in the marketplace has the big data community on alert.
The Editor interviews Deidre Paknad, Vice President of IBM’s Information Lifecycle Governance (ILG) Solutions Business, former CEO of PSS Systems, and founder of the Compliance, Governance and Oversight Council (CGOC).
Today’s IT organizations face huge challenges such as the ever-increasing number of applications, virtualization, the cloud, and the rising value of information stored in data centers. The combined effect of these factors is placing pressure on IT infrastructures to increase performance and operate more efficiently while reducing costs.
An emerging technology, flash storage technology, is helping business and technology leaders address these issues by making their IT infrastructures more operationally efficient. Learn more in this white paper from Logicalis.
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.
Join this session to understand how you can reduce the cost and complexity of backup and recovery while ensuring comprehensive data protection across virtual environments, core application and remote sites.
Following a series of in-depth interviews with Senior IT professionals in various industries this video provides their findings and the direct and in-direct value derived from using HPs Backup, Recovery and Archiving solutions.
This book examines data storage and management challenges and explains software-defined storage, an innovative solution for high-performance, cost-effective storage using the IBM General Parallel File System (GPFS).
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.
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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.
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.