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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

meaning of cube in data warehouse  becomes possible to extract meaningful information from it that will provide a competitive advantage and a return on investment. This is done with tools that fall within the general rubric of Business Intelligence . Business Intelligence (BI): A very broad field indeed, it contains technologies such as Decision Support Systems (DSS), Executive Information Systems (EIS), On-Line Analytical Processing (OLAP), Relational OLAP (ROLAP), Multi-Dimensional OLAP (MOLAP), Hybrid OLAP (HOLAP, a combination of Read More...
Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
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Documents related to » meaning of cube in data warehouse


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

meaning of cube in data warehouse  on a single machine, meaning that there can be zero latency between transactional (OLTP) data appearing in the system and that data being available to decision-support (OLAP) applications. In a traditional setup, where data resides in the operational (transactional) store and is then extracted into a data warehouse for reporting and analysis, there is always a lag between data capture and its availability for data analysis (and thus the “driving with a rear view mirror” mantra). In contrast, HANA can Read More...
Understanding Business Intelligence and Your Bottom Line
Given that virtually all small and midsized businesses can benefit from business intelligence (BI) tools, the real question is how much of this technology

meaning of cube in data warehouse  of results between periods, meaning that you really don't need to pay for overly expensive applications that deliver high-powered analytics. We contend that the level of investment required for an expensive analytics solution is more the province of the larger company than the SMB market. Myth #3 ' I have to toss out all my spreadsheets With all the high-priced applications now available in the burgeoning BI marketplace, it's easy to see why many vendors would scoff at the idea that your basic Microsoft Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

meaning of cube in data warehouse  Quality helps expand the meaning between data sets, consolidates information, and synchronizes business processes. It gives organizations a more complete view of customer information — unlocking the true value of its data, creating a competitive advantage and more opportunities for growth. About Melissa Data Corp. For more than 23 years Melissa Data has empowered direct marketers, developers and database professionals with tools to validate, standardize, de-dupe, geocode and enrich contact data for 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

meaning of cube in data warehouse  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer 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

meaning of cube in 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...
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

meaning of cube in data warehouse  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More...
Why Demandware Is Out in Front in the Digital Commerce Sector
Whether you call it e-commerce, e-retailing, digital commerce, or something else entirely, there is a veritable revolution going on in the internet commerce

meaning of cube in data warehouse  Demandware Is Out in Front in the Digital Commerce Sector Whether you call it e-commerce, e-retailing, digital commerce, or something else entirely, there is a veritable revolution going on in the internet commerce space. While consumers continue to seek and expect near-perfection in the digital commerce experience, vendors have been struggling to deliver what should be a seamless experience across channels. Demandware has been particularly assertive about tackling this, developing from a SaaS newcomer Read More...
Data Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond
For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet

meaning of cube in data warehouse  Migration Management: A Methodology to Sustaining Data Integrity for Going Live and Beyond For many new system deployments, data migration is one of the last priorities. Data migration is often viewed as simply transferring data between systems, yet the business impact can be significant and detrimental to business continuity when proper data management is not applied. By embracing the five phases of a data migration management methodology outlined in this paper, you can deliver a new system with quali Read More...
Why Price Shouldn't Be the Final Factor When Investing in Manufacturing ERP Software: The Hidden Expenses Often Found in Low-cost ERP Systems
When it is time to invest in a new enterprise resource planning (ERP) system, a low entry price could be concealing an expensive total cost of ownership. Price

meaning of cube in data warehouse  Price Shouldn't Be the Final Factor When Investing in Manufacturing ERP Software: The Hidden Expenses Often Found in Low-cost ERP Systems When it is time to invest in a new enterprise resource planning (ERP) system, a low entry price could be concealing an expensive total cost of ownership. Price should not be the deciding factor. Rather, best fit for your company should be the number one consideration. Download this white paper to learn more about the hidden costs. Read More...
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

meaning of cube in data warehouse  Teradata Database and the Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

meaning of cube in data warehouse  Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

meaning of cube in data warehouse  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More...
The Dollars and Sense of Web Identity Management: How SaaS Cuts the High Costs of Web Access and SSO by 75 Percent
IT infrastructure software has a well-established track record for experiencing frequent cost overruns and missed deadlines. Expensive software and extensive

meaning of cube in data warehouse  Dollars and Sense of Web Identity Management: How SaaS Cuts the High Costs of Web Access and SSO by 75 Percent IT infrastructure software has a well-established track record for experiencing frequent cost overruns and missed deadlines. Expensive software and extensive customization are the key contributors to increasing identity management costs to four or five times more than the price of the initial identity software license. Learn how software as a service (SaaS) can reduce the cost and complexity Read More...
The Impact of CRM and Sales Process: Monetizing the Value of Sales Effectiveness
To work through all the issues necessary to improve sales performance, executives have a number of options for leveraging people and knowledge. However, an area

meaning of cube in data warehouse  Impact of CRM and Sales Process: Monetizing the Value of Sales Effectiveness To work through all the issues necessary to improve sales performance, executives have a number of options for leveraging people and knowledge. However, an area that shows significant potential for helping sales teams meet or exceed their goals is the effective alignment of sales process and technology. Executives looking to optimize performance should consider this approach to achieve their goals. Read More...

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