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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 » huge data warehouse


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

huge data warehouse  , Business Intelligence , Huge Data Warehouse , Data Warehouse Appliance . NOTE: The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole Read More...
Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe

huge data warehouse  That cost can be huge. What Are The Costs? Data quality problems cost money. Internally, decisions based upon flawed data results in poor decisions. Fixing the problems caused by data quality takes time and money. Fixing the data itself is also expensive. Today, with extended supply chains and collaboration, the problems and the costs are shared by trading partners as well. Let''s look at some examples. A recent study by the Grocery Manufacturing Association (GMA) and the Food Marketing Institute (FMI) Read More...
Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

huge data warehouse  and billing system. A huge project team worked on the SAP implementation, and over time all the old legacy customer information systems were replaced by SAP IS-U. Due to time constraints (and probably lack of knowledge of the legacy data) the legacy data were more or less unchanged when migrated into the new SAP IS-U. I worked as an IT architect for this company at this time. One of my tasks was to help other projects (needing customer related information) interface to SAP IS_U. An example might be a Read More...
About Big Data
There may not be a consensus with respect to just how big

huge data warehouse  disagree that managing these huge amounts of data represents a challenge. It’s fair to say that we’re dealing with big data when traditional relational databases and systems are no longer sufficient. Things as simple as data storage and movement between repositories can have a big impact on the organization. Big data management is more than just working with an enormous data set; it has to do with the complexity of analyzing it and getting the most value from it— competitive advantage, performance 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

huge data warehouse  science that can provide huge returns to an organization. It can assist companies in analyzing the impact of changes to database tables, tracking owners of individual data elements ( data stewards ), and much more. It is also required to build the warehouse, since the ETL tool needs to know the metadata attributes of the sources and targets in order to map the data properly. The BI tools need the metadata for similar reasons. Summary: Data Warehousing is a complex field, with many vendors vying for Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

huge data warehouse  today, and given the huge growth in the data being generated both inside and outside of companies, application complexity and data quality is likely to steadily get worse unless companies pay more attention to enforcing data quality and evolve to support a universal approach to managing data cleansing and data quality management. A Universal Approach to Data Quality Management Is Required The trend by organizations toward a services-oriented architecture (SOA) for building new applications and Read More...
Flexible Customer Data Integration Solution Adapts to Your Business Needs
Siperian''s master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data.

huge data warehouse  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization''s customer-related data does not affect a company''s bottom line, unless Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

huge data warehouse  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today''s environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. 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

huge data warehouse  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...
The Path to Healthy Data Governance through Data Security
Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business

huge data warehouse  all times can have huge impact on the organization’s well being. This is particularly relevant when dealing with personally identifiable information (PII) as well as sensitive corporate data. From a corporate perspective, there are three main drivers for ensuring data security becomes a core component of any data governance initiative: Regulation and compliance in regard to industry, local, and international data security and privacy regulations (e.g., The Sarbanes-Oxley Act , The EU Data Protection 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

huge 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...
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

huge data warehouse  Center Projects: Project Management Data Center Projects: Project Management 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 damage: power problems and temperature. As a global leader in 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

huge data warehouse  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...
5 Keys to Automated Data Interchange
The number of mid-market manufacturers and other businesses using electronic data interchange (EDI) is expanding—and with it, the need to integrate EDI data

huge data warehouse  Keys to Automated Data Interchange 5 Keys to Automated Data Interchange If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In 1995, Emanio was one of the first companies to send EDI messages over the Internet and integrate these into backend ERP and Supply Chain Management systems through a single tool. Source : Emanio Resources Related to Automated Data Interchange : Automated Data Processing (Wikipedia) Automatic identification and 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

huge data warehouse  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...
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