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.
Understanding the latest developments in storage technology is crucial when planning a virtual server storage architecture, and choosing the wrong storage architecture can dramatically impair your ability to provide application resources and recoverability. This best practices guide will show you how to lay the foundation for an efficient, easy-to-manage storage environment.
Speed, simplicity and affordability: 3 capabilities businesses need from their warehousing environment. IBM DB2 with BLU Acceleration gives organizations a complete, multipurpose environment to rapidly distill insight from their data, make timely decisions and capitalize on opportunities
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
Learn about the central issues that tend to be consistent across all Request for Proposals (RFPs) and see what questions you should be asking in order to maximize the efficiency of your mission critical data center.
For many years, companies have been building data warehouses to analyze business activity and produce insights for decision makers to act on to improve business performance. These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse. Typically, a history of business activity is built up over a number of years allowing organizations to use business intelligence (BI) tools to analyze, compare and report on business performance over time. In addition, subsets of this data are often extracted from data warehouses into data marts that have been optimized for more detailed multi-dimensional analysis.
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
IBM Big Data Stampede fuses the strength of IBM’s services, products and skills to minimize the barriers of Big Data initiatives and provide organizations with quick success. Your Big Data Stampede includes an assessment to identify the high value starting points with Big Data. We work with you to unearth trouble areas and complex problems for resolution through leveraging Big Data. Read this data sheet to learn more.
Working with BrightStar Partners, an Avnet Services company, and IBM, the PDZA team has developed a new analytics solution that combines real-time weather data with ticket sales and attendance information to help forecast visitor numbers much more accurately than ever before.
A new approach, known as “Big Workflow,” is being created by Adaptive Computing to address the needs of these applications. It is designed to unify public clouds, private clouds, Map Reduce-type clusters, and technical computing clusters. Download now to learn more.
When a pharmaceutical company discovered its risks under the new Patient Protection and Affordable Care Act, it turned to Collaborative to comb and consolidate its data. The result: compliance and insight into new business opportunities, too, through a company-wide business data warehouse and enhanced business intelligence.
A large enterprise data warehouse company used Red Hat® CloudForms to create a private cloud that includes automated provisioning and self-service for developers and testers. This let them build, test, and release new product versions faster. Find out how in this case study.
Learn about FlexPod Select with Hadoop and how this enterprise class Hadoop has validated, pre-configured components that allow for faster deployment, higher reliability, and smoother integration with your existing applications and infrastructure.
Learn how to maximize the business value of your data by having a storage infrastructure that will easily address long-term retention policies, finds and retrieves content quickly from long-term repositories, and uses object storage efficiently.
Download this solutions guide to get a technical overview on building Hadoop on NetApp E-series storage and learn how it will effectively help deliver big analytics with pre-engineered, compatible, and supported solutions ultimately reducing the cost, schedule, and risk of do-it-yourself systems.
Have you ever found yourself in this untenable position? Your web team and email program owners are targeting the same customers, with different offers, or worse, competing offers.
Siloed systems and teams limit marketers’ ability to make sound assessments about performance and spending. Marketers around the world spend over one trillion USD each year. Yet, most of them still manage their marketing programs with a hodgepodge of spreadsheets and disconnected applications. Unnecessary costs, delays and poor collaboration plague marketers. Under increasing pressure to connect with customers while doing more with less, marketers who strive to optimize marketing performance through a single integrated software platform can make the best use of people, programs and resources. Today, you need a return on every dollar spent and a platform that aligns technology, people and processes to help create effective, efficient marketing programs that support customers for life.
"The number of vCPUs should be one of your most important considerations when sizing virtual machines. But getting the right balance — neither over-allocating nor under-allocating — is a challenge. You’ll need to select the number of vCPUs, the size of the virtual disk, the number of vNICs and the amount of memory. With all those variables, a little guidance is in order.
Read the White Paper "
Retail company, Media Markt, deployed Riverbed Cascade® for complete network and application visibility. Media Markt also implemented a WAN optimization solution from Riverbed which reduced backups from hours to minutes. Media Markt has recently opened up retail stores in China and plans to open up many more across the country. The Riverbed solutions will enable the company to quickly and easily identify and fix problems across its network and scale its backup systems without compromising data backup speeds.
When it comes to application infrastructure, some of the burning questions that organizations are asking themselves include:
If I host some of my application functionality in the could, how do I integrate that with my existing on-premises applications?
How do I integrate my on-premises application with external business partners?
Everyone is talking about platform as a service (PaaS). Should I use it? If so, when and when not?
In this research, we address these questions by introducing the concept of iPaaS, a specific form of PaaS targeting integration and governance requirements, and how it can be used to address cloud-to-on-premises and other related requirements.
Today, there is unprecedented pressure on companies in all industry sectors to keep their supply chains running smoothly. This often means that these businesses with their ever-changing distribution channels and production centers feeding those supply chains, need to efficiently manage their warehouses. In this whitepaper, Business-software.com profiles the leading warehouse management software vendors.
Discover how to accelerate database performance, handle change and growth in scalable, incremental steps, and deliver mission-critical data availability and protection with this unique commercial solution.
This paper focuses on configuring Oracle GoldenGate to run on Oracle Exadata. The Oracle Exadata Database Machine can act as the source database, as the target database, or in some cases as both source and target databases for GoldenGate processing.