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Documents related to » valuable data integration olap


Best Practices for a Data Warehouse on Oracle Database 11g
Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW

valuable data integration olap  of Data Warehousing | Valuable Data Integration | Enterprise Data Warehousing | Contains Information on Data Warehousing | Building the Data Warehouse | Term Data Warehouse Lists | Expensive Data Warehouse | Data Warehousing Provides | Data Warehouse Appliance Consists | Data Warehouse Info | Implementing Data Warehouse | Data Warehouse Process | Implementing Real Time Data Warehousing | Data Warehouse System Complete | Data Warehouse EDW | Data Warehouse Architecture EDW | Data Warehouse Concepts EDW | Read More...
SAP BusinessObjects Edge BI for Business Intelligence Certification Report
SAP''s business intelligence solution, SAP BusinessObjects Edge BI, is now TEC Certified. The certification seal is a valuable indicator for organizations who

valuable data integration olap  certification seal is a valuable indicator for organizations that rely on the integrity of TEC''s research services for assistance with their software selection projects. Organizations looking for a solution can be confident that they''re comparing the product on an apples to apples basis with other, similar products. SAP BusinessObjects Edge BI Market Data Summary SAP BusinessObjects is easily one of the historical leaders in the BI space. The SAP BusinessObjects portfolio is perhaps one of the most Read More...
Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

valuable data integration olap  handle, manage, and derive valuable insight from large volumes of data in various formats and coming from disparate sources. Here I discuss the role that in-memory technologies plays in big data analysis and the potential of this technology to change the business intelligence (BI) landscape and the industry technology space. But first we need to understand the basics.   A Basic Framework What does it mean to have an in-memory technology in place? It means that all the data in a computer is stored within Read More...
The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data

valuable data integration olap  Truth about Data Mining A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. I Read More...
Business Intelligence Portal (BI Portal)
The Silverlight BI Portal is a centralized repository for data analyzing and reporting tools. AD Integrated Authentication and tight integration with the MS

valuable data integration olap  and optimizing the most valuable IT resources - the data servers:   Companion for MS Analysis Server Companion for MS SQL Server   The BI Portal offers low cost Per Server instance licensing with unlimited end users and unlimited technical support directly related to the product. Additional consulting and development services are available. Read More...
Jitterbit: Integration in Harmony
California-based provider of cloud-based application and data integration solutions Jitterbit has taken its strategy to offer a platform better adapted to the

valuable data integration olap  Integration in Harmony California-based provider of cloud-based application and data integration solutions Jitterbit has taken its strategy to offer a platform better adapted to the new requirements of integration at many layers a step further with the release of its integration offering , the Harmony Integration Cloud Platform . In the words of Jitterbit, the Harmony platform will “make it easy for companies to amplify the value of their business apps by connecting them across the entire Read More...
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

valuable data integration olap  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More...
Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

valuable data integration olap  the Complexities of Remote Data Protection Because data protection is a concern for organizations of all sizes, IBM offers remote data protection for the enterprise, as well. This high performance and easy-to-use service delivers consistent and cost-effective data protection without increased network investment. Source: IBM Resources Related to Addressing the Complexities of Remote Data Protection : Continuous Data Protection (CDP) (Wikipedia) Addressing the Complexities of Remote Data 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

valuable data integration olap  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...
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

valuable data integration olap  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 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

valuable data integration olap  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 applications. For those of you who don’t know, the definition of a Pareto chart according to Whatis.com is “a vertical bar graph in which values are plotted in decreasing order of relative frequency from le Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

valuable data integration olap  it’s required. credible—data provides valuable insights. Planning and executing a successful data quality strategy requires significant effort and the application of the right technology and methodology. With regard to data quality assurance organizations can be at different levels of maturity. There are several ways to assess maturity, but a basic data quality maturity model describes the following stages (figure 1): Data quality as required—Organizations solve data quality problems incidentally, t Read More...
Data Pro Accounting Software
Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the

valuable data integration olap  Pro Accounting Software Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX. Read More...
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

valuable data integration olap  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More...

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