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Warehouse Management Systems (WMS)
A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction...
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Documents related to » etl data warehouse tutorial


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

etl data warehouse tutorial  via another set of ETL processes. It is in this layer data begins to take shape and it is not uncommon to have some end-user application access data from this layer especially if they are time sensitive, as data will become available here before it is transformed into the dimension / performance layer. Traditionally this layer is implemented in the Third Normal Form (3NF). Optimizing 3NF Optimizing a 3NF schema in Oracle requires the three Ps – Power, Partitioning and Parallel Execution. Power means 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

etl data warehouse tutorial  due to its powerful ETL functionality and data quality, which are provided by the SAP BusinessObjects information management solutions included in the bundle. Its comprehensive set of functionality features supports ETL and enterprise information integration (EII) services, reaching almost 90 percent of the functional criteria for both submodules. About Support Besides general BI functionality, it is important to consider other features, such as support. The Support module groups the set of features Read More...
SAP HANA-One Technology to Watch in 2012 (and Beyond)
Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database

etl data warehouse tutorial  extract, transform, and load (ETL). Data copies are materialized , i.e., the data is saved to physical tables in its transformed state. OLAP cubes come along with a set of efficient transformations that simplify analytics. In contrast to a physical table, an Analytic View is not “flat.” Data must be “flattened out” during extraction by aggregating along the dimensions of the data cube. In terms of structured query language (SQL), “flattening out” means reading with a GROUP BY clause and Read More...
Financial Reporting, Planning, and Budgeting As Necessary Pieces of EPM Part Two: Challenges and User Recommendations
Although CPM (aka EPM) starts with strong financial management, it will eventually extend beyond financial planning to almost all areas of corporate activity

etl data warehouse tutorial  extract, transform and load [ETL] tools; and dashboards or executive information system [EIS]) to BPM applications and scorecard products. Thus, CPM is the evolutionary combination of technology and philosophy, building on the foundation of technology and applications that many enterprises will have likely already implemented. The demand for these applications lies in the fact that they incrementally add value to already installed business applications, even the legacy ones, to a degree that the Read More...
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

etl data warehouse tutorial  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...
MSI Data


etl data warehouse tutorial  Data 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

etl data warehouse tutorial  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...
Warehouse Management Systems by the Numbers
When it comes to warehouse management systems (WMS), the stats are both shocking and thought-provoking. And although you don''t see these stats in the marketing

etl data warehouse tutorial  Management Systems by the Numbers Warehouse Management Systems by the Numbers Featured Author - Ren Jones - September 22, 2006 Warehouses are built around numbers—from the facility''s square footage, to how many rows of racking it takes to stock the number of stock-keeping units (SKUs), all the way to the amount of orders processed through a facility in a day. This article takes the numbers associated with warehouse management systems (WMS) you don''t see in the marketing brochures or 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

etl data warehouse tutorial  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 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 Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

etl data warehouse tutorial  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More...
Don''t Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

etl data warehouse tutorial  t Be Overwhelmed by Big Data Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? 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

etl data warehouse tutorial  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 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...
Implementing Energy-Efficient Data Centers
But in the white paper implementing energy-efficient data centers, you''ll learn how to save money by using less electricitywhether your data cente...

etl data warehouse tutorial  Energy-Efficient Data Centers Did you realize that your data center(s) may be costing you money by wasting electricity ? Or that there are at least 10 different strategies you can employ to dramatically cut data center energy consumption ? The fact is, most data centers are not designed with energy efficiency in mind. But in the white paper Implementing Energy-efficient Data Centers , you''ll learn how to save money by using less electricity—whether your data centers are still in the design Read More...
Unified Data Management: A Collaboration of Data Disciplines and Business Strategies
In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration

etl data warehouse tutorial  Data Management: A Collaboration of Data Disciplines and Business Strategies In most organizations today, data are managed in isolated silos by independent teams using various data management tools for data quality, integration, governance, and so on. In response to this situation, some organizations are adopting unified data management (UDM), a practice that holistically coordinates teams and integrates tools. This report can help your organization plan and execute effective UDM efforts. Read More...

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