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Documents related to » bi huge data warehouse


Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

bi huge data warehouse  Managing Information Systems | BI Data Warehousing | Data Management Service | Data Management Definition | MDM Data Management | Data Storage Manager | Data Management Outsourcing | Data Management Strategies | Business Intelligence Data Integration | Data Integration | ITIL Data Management | Big Database | Data Migration | Using MDM | Data Reduction | Data Maintenance Costs | SAP Data Management | SAP Netweaver Master Data Management | SAP Netweaver MDM | SAP MDM Quick Starters | SAP Netweaver White Read More...
Achieving Business Intelligence (BI) in Midsize Companies
Like many of today’s IT decision makers, you may be considering a business intelligence (BI) solution for your midsize company. But how do you go about adding

bi huge data warehouse  complex company, then your BI system is likely to be huge and complex also. Big companies accept this as a fact of life simply because everything in a big company is big and complex. Payroll systems. Accounting systems. Customer relationship management (CRM) systems. Enterprise resource planning (ERP) systems. Asset tracking systems. Heck, just filing an expense report in a big company can be like trying to pass a bill in Congress— everything is complicated. To a large degree, big companies can''t avoid Read More...
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

bi huge data warehouse  the data warehouse and BI space? The number one advance to date is massively parallel processing, or MPP. Without it we could not possibly cope with the ever-increasing data volumes and analytic complexity that business applications command. While Moore’s Law , which dictates that processing power doubles every two years, is still valid for most applications, it does not ring true in the data warehousing space, where data volumes double every year. There are a number of advances that compete for number Read More...
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

bi huge data warehouse  Chain Data SCM | BI Data | BI Data Cleansing | BI Consumer Data | BI Precise Data Cleansing | BI Data Quality | BI Data Cleansing Tools | BI Data Cleansing Solutions | BI Accurate Data | BI Source Data | BI Data Warehousing | BI Data Scrubbing | BI Outsource Data Cleansing | BI Data Bureau Services | BI Data Cleansing Software | BI Data Transformation | BI Consumer Database Cleaning | BI Cleansing Data Warehouse | BI Data Cleansing Services | BI Data Discovery | BI Data Profiling | BI Data Analysis | BI Read More...
About Big Data
There may not be a consensus with respect to just how big

bi huge data warehouse  the inability of common BI deployments to manage both structured and unstructured content. The data extraction process can be especially difficult with large amounts of information. These new tools are changing the traditional BI data cycle. Data can be collected from its sources and analyzed in a matter of seconds, giving reliable results in a fraction of the time required by a traditional BI deployment, thus reducing data latency and speeding up the decision-making process. Some of the advantages of Read More...
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

bi huge data warehouse  Data Comes of Age: Shifting to a Real-time Data Platform 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 more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a Read More...
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

bi huge data warehouse  often uncertain about the capability of their existing data center and whether a new data center must be built to support higher rack densities. Fortunately, a simple solution exists that allows for the rapid deployment of high-density racks within a traditional low-density data center. A high-density zone, as illustrated in Figure 1, allows data center managers to support a mixed-density data center environment for a fraction of the cost of building an entire new data center. In this paper a 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,

bi huge data warehouse  data migration sql,data migration strategies,data migration framework,server data migration,data migration issues,erp data migration,data migration validation,data migration test plan,data migration solutions,data migration strategy document,data migration companies,data migration testing strategy,data migration sql server,data migration planning,data migration plan example Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

bi huge data warehouse  immediate needs and provides flexibility to meet changing business requirements. The Scope of the Problem &nbsp Undeliverable as Addressed Mail According to a recent study undertaken by PricewaterhouseCoopers and the United States Postal Service® (USPS) , on average, approximately 23.6% of all mail is incorrectly addressed and requires correction of some kind. An additional 2.7% is completely undeliverable. The USPS currently charges a minimum of $0.21 per mail piece for its address correction service. 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

bi huge data warehouse   Read More...
Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics
Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident

bi huge data warehouse  Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

bi huge data warehouse   Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

bi huge data warehouse  a common language, avoid responsibility gaps and duplication of effort, and achieve an efficient process with a predictable outcome. This paper presents a framework for project management roles and relationships that is understandable, comprehensive, and adaptable to any size project. Introduction In a project to build or upgrade data center physical infrastructure, a structured and standardized process provides the essential foundation for efficient project execution and a successfully deployed system. 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

bi huge data warehouse  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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