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Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

data warehousing with  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More
Human Resources (HR)
Human Resources encompasses all the applications necessary for handling personnel-related tasks for corporate managers and individual employees.  Modules will include Personnel Management, ...
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Documents related to » data warehousing with


Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete
The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW

data warehousing with  Technologies Do Not Make Data Warehousing Obsolete The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service Read More
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

data warehousing with  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing Read More
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

data warehousing with  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such Read More
Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

data warehousing with  Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical applications Read More
Got Big Data? Net Big Dollars!
Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is

data warehousing with  Data? Net Big Dollars! Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data. Read More
Essential Elements of Data Center Facility Operations
Seventy percent of data center outages are directly attributable to human error according to the Uptime Institute’s analysis of their “abnormal incident

data warehousing with  Elements of Data Center Facility Operations Seventy percent of data center outages are directly attributable to human error according to the Uptime Institute’s analysis of their “abnormal incident” reporting (AIR) database. This figure highlights the critical importance of having an effective operations and maintenance (O&M) program. This paper describes unique management principles and provides a comprehensive, high-level overview of the necessary program elements for operating a mission Read More
Buying Less Storage with NetApp
Storage system administrators are constantly battling with growing volumes of data. But can you create more space-efficient storage? You can. With a data

data warehousing with  You can. With a data virtualization solution like NetApp Snapshot, administrators can create point-in-time copies of data volumes—consuming only a fraction of the space normally required. Find out how using data virtualization tools can help reduce your ongoing data storage management costs. Read More
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

data warehousing with  the Buzz: Big Data 2013 The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the domain of traditional structured data management projects. Research conducted by Enterprise Management Associates (EMA) and 9sight Consulting makes a clear case for the maturation of Big Data as a critical approach for innovative companies. The survey went beyond simple questions of strategy, adoption, and Read More
Transportation and Warehousing
The transportation industry moves goods in a number of ways: via land, ocean, or air. As the product is moved from location to final destination, successful

data warehousing with  and Warehousing The transportation industry moves goods in a number of ways: via land, ocean, or air. As the product is moved from location to final destination, successful delivery operations are vital for an organization’s financial bottom line. The link between the organization’s warehouse and its transportation operations need to be well coordinated for efficient product movement. Processes in the transportation industry must accurately reflect the scope of its customers’ needs and Read More
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

data warehousing with  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More
Remote Data Management and Backup Best Practices
Increased risk from unprotected user files and remote data is causing companies to re-evaluate their current remote backup processes. Managing remote data poses

data warehousing with  Data Management and Backup Best Practices Increased risk from unprotected user files and remote data is causing companies to re-evaluate their current remote backup processes. Managing remote data poses unique challenges, especially given the variability of networks, computing platforms, lack of trained IT staff at remote locations, and other issues. What are the issues, requirements, approaches, and best practices for effective remote data management? 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 warehousing with  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
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

data warehousing with  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Read More
CRM: Creating a Credible Business Case and Positioning It with the CEO Part Two: Linking CRM with Organizational Direction
An effective business case must link CRM with achieving organizational objectives; but this step is just the beginning. Credibility implies that the document

data warehousing with  introduces (e.g., management of data quality, sharing data, changes in performance metrics)? An effective business case must link CRM with achieving organizational objectives; but this step is just the beginning. Credibility implies that the document clearly delineates assumptions regarding cause and effect plus the mechanism that will be used to assess results and declare success. If the business case does not define how the initiative will demonstrate its effectiveness, then what is the basis for Read More

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