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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 community


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 community  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...
Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and

etl data warehouse community  A? Many applications and ETL jobs turn off referential integrity checks in order to speed the loading of databases (or use some other logic to check referential integrity). As a result, the data that ends up in a database that supposedly provides referential integrity can often be incorrect. Linkages . Are there parts in our invoice file that don''t exist in the parts catalog? Are there orders that have been marked as delivered than can''t be matched to an invoice? Primary Keys . Are primary keys unique? Ca 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

etl data warehouse community  are currently over 50 ETL tools on the market. The data acquisition phase can cost millions of dollars and take months or even years to complete. Data acquisition is then an ongoing, scheduled process, which is executed to keep the warehouse current to a pre-determined period in time, (i.e. the warehouse is refreshed monthly). Changed Data Capture: The periodic update of the warehouse from the transactional system(s) is complicated by the difficulty of identifying which records in the source have changed Read More...
SAS Institute Shoots for the Two-Stop-Shop with new Release of Warehouse Administrator
SAS Institute, a vendor of integrated data warehousing, decision support and information delivery software, has announced the production availability of SAS

etl data warehouse community  and designing warehouses and ETL (extraction, transformation and loading) processes. SAS/Warehouse Administrator is designed for the IT professional responsible for creating and managing data warehouse processes. It is a customizable solution that offers a single point of control making it easier to respond to the ever-changing needs of the business community. All the while, SAS/Warehouse Administrator is creating a new corporate asset called metadata which documents all the processes involved in deployin Read More...
Open Source Business Intelligence: The Quiet Evolution
As organizations face a pressing need to rationalize the cost of enterprise software, open source business intelligence (BI) is fast becoming a viable

etl data warehouse community  loading of data. The ETL system supports: a variety of steps (a step represents the smallest unit in a transformation and contains either predefined or custom logic that is applied to each row as it makes its way from the source to the target); slowly changing dimensions (SCDs); connectors for a multitude of data sources (access to proprietary databases such as Microsoft SQL Server and Oracle is via Java Database Connectivity [JDBC]); and the ability to execute and schedule jobs both locally and remotely Read More...
Master Data Management and Accurate Data Matching
Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are

etl data warehouse community  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. 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

etl data warehouse community  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...
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

etl data warehouse community  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...
Cost-justifying Warehouse Management Technologies in Small and Midsized Warehouses
The warehouse management system (WMS) concept has matured into a collection of time-tested technologies that reduce inventory costs and increase overall

etl data warehouse community  justifying Warehouse Management Technologies in Small and Midsized Warehouses Cost-justifying Warehouse Management Technologies in Small and Midsized Warehouses If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Sage provides business software, services and support to small and medium sized businesses. Manage your operations in the warehouse software to handle supply chain, manufacturing and distribution management Source : Sage Read More...
Considerations for Owning versus Outsourcing Data Center Physical Infrastructure
When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both

etl data warehouse community  for Owning versus Outsourcing Data Center Physical Infrastructure When faced with the decision of upgrading an existing data center, building new, or leasing space in a retail colocation data center, there are both quantitative and qualitative differences to consider. The 10-year TCO may favor upgrading or building over outsourcing; however, this paper demonstrates that the economics may be overwhelmed by a business’ sensitivity to cash flow, cash crossover point, deployment timeframe, Read More...
How to Solve Your Warehouse Woes
Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak

etl data warehouse community  to Solve Your Warehouse Woes . Today’s manufacturers and distributors are under immense pressure to ensure their warehouse and supply chain activities are continually operating at peak performance. Whether it’s increased global competition, more demanding customers, a tighter economy, or the rising cost of materials that’s keeping business owners awake at night, the hard truth is that if they want to remain competitive in today’s global marketplace, they need to find more efficient ways to Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

etl data warehouse community  Storage in the Cloud--Can You Afford Not To? Spiraling data storage requirements are straining many companies'' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you''ll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of Read More...
Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence
Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting

etl data warehouse community  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

etl data warehouse community  Data Analytics: Profiling the Use of Analytical Platforms in User Organizations While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...

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