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SQL Server Technical Briefing
iSCSI storage area networks (SANs) offer an alternative for building SANs. Consolidating storage in a SAN offers storage management and scaling benefits for

data flow diagram level o  isolate the iSCSI and data networks that reside on the same switch infrastructure through the use of VLANs and separate subnets. Redundant network paths from the server to the storage system via MPIO will maximize availability and performance. In transactional environments SQL I/O size is typically 8 KB, but in decision-support implementations the more sequential I/O can be up to 256 KB. Under these circumstances, it is beneficial to use multipath I/O to increase bandwidth to and from the server to the Read More...
Sales Force Automation (SFA)
Sales Force Automation (SFA) systems help sales and marketing teams with functions related to taking orders, generating proposals or quotes, managing territories, managing partners, and maintaining...
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Documents related to » data flow diagram level o


The 2008 Handbook of Application Delivery: A Guide to Decision Making
IT organizations can no longer manage networks in isolation from the applications they support, requiring a shift from focusing on devices to a focus on

data flow diagram level o  reside in the same data center. As a result, the impact of the WAN is constrained to a single traffic flow, that being the flow between the user's Web browser and the application server. In a Web services-based application, the Web services that comprise the application typically run on servers that are housed within multiple data centers. As a result, the WAN impacts multiple traffic flows and hence has a greater overall impact on the performance of a Web services-based application that it does on the Read More...
The Role of Cloud in Your Storage and Data Protection Strategy
Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy.

data flow diagram level o  in Your Storage and Data Protection Strategy The Role of Cloud in Your Storage and Data Protection Strategy Cloud storage is gaining in popularity with companies seeking a more efficient, dynamic, and responsive IT environment. But what are the issues and challenges involved? And how do you make sense of a bewildering maze of cloud storage options? Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy . In this practical IDC report, you'll learn about the Read More...
Fundamentals of Managing the Data Center Life Cycle for Owners
Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and

data flow diagram level o  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and o Read More...
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

data flow diagram level o  Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you'll learn about the steps in the data delivery cycle, the problems can occur at each step, Read More...
Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources

data flow diagram level o  Data Warehouse Style Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency. Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

data flow diagram level o  perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

data flow diagram level o  BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of their data as well as to ways to capture the most valuable information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality features for BI Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

data flow diagram level o  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

data flow diagram level o  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frustration Read More...
Data Quality Trends and Adoption
While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ

data flow diagram level o  of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More...
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

data flow diagram level o  Companies Use Data for Competitive Advantage How Companies Use Data for Competitive Advantage Today, many businesses find they are under siege dealing with an explosion of data. Yet the best performing companies are mastering their data—and using it for competitive advantage. How are they able to accomplish this? What best practices, approaches, and technologies are they employing? Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage . In this Economist Business Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data flow diagram level o  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

data flow diagram level o  Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commissioning team Read More...

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