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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 info


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 info  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 tha 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 info  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 aggreg Read More...
Reconnecting with a Tried-and-True Manufacturing ERP Vendor
What has QAD, a leading provider of enterprise applications for global manufacturing companies, been up to lately? TEC principal analyst P.J. Jakovljevic

etl data warehouse info  extract, transform, and load (ETL) tool, developed to streamline data collection and automate the timely maintenance of the QAD Data Warehouse. QAD has also streamlined the process of data analysis and helps mitigate the guesswork on what companies should view and measure. QAD BI 3.5 provides pre-packaged and pre-formatted modules that cover KPIs for most functional areas of an ERP system. This convenience, combined with QAD’s simple to access, browser-based interface, deployable across many platforms, Read More...
Enterprise Information Management: Strategy, Best Practices, and Technologies on Your Path to Success
New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster

etl data warehouse info  Use Information Management Software ETL Data Quality Metadata Management Master Data Management (MDM) In Closing Executive Summary When faced with information management issues, particularly those in a cross-functional setting, many business and IT professionals turn, albeit often unwittingly, toward Enterprise Information Management (EIM) . EIM is the effort and practice of reaching across all data and application silos embedded in the organization’s operating infrastructure; then binding those reposit Read More...
Oracle''s Product Future: What Can the Past Tell?
Oracle does not have a history of major acquisitions, let alone experience with the subsequent integration efforts. Run by a management team that has never

etl data warehouse info  and Carleton an extract-transform-load (ETL) tool, and continued its acquisitions of point products into the 2000s. (See Oracle Buys Carleton Corporation to Enhance Warehouse Offering , etc.) TopLink was acquired from WebGain in 2002, adding an object-relational mapping layer to the Oracle Application Server , and Indicast became the voice services component. Then, in 2001 3Cube ''s on-line collaboration software became part of the Oracle iMeeting product. Further, in 2002, Stetlor''s Corporate Time 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

etl data warehouse info  component includes a batch-oriented ETL product (BusinessObjects Data Integrator), an enterprise information integration tool for on-demand data access to a variety of data sources (BusinessObjects Data Federator), and a set of packaged data integration solutions (BusinessObjects Rapid Marts™) for enterprise applications such as Oracle, PeopleSoft, and Siebel. Data quality -a component for the profiling, cleansing, enhancement, matching, consolidation, and monitoring of data (BusinessObjects Data Read More...
SAS/Warehouse 2.0 Goes Live
SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version provides IT the ability to

etl data warehouse info  extraction, transformation and loading (ETL) processes, Nauta said. By tracking the usage of information in the warehouse, IT staff can identify and remove data that is not being used. Removing unnecessary data makes the warehouse more efficient and maximizes hardware investments. Market Impact Publish/Subscribe metaphors are becoming much more common in the data warehouse arena. The ability for users to subscribe (request information on a regular basis), and for the server to publish ( push ) that 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 info  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...
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 info  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...
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 info  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...
Garbage in, Garbage out: Getting Good Data out of Your BI Systems
Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

etl data warehouse info  in, Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you''ll learn about the steps in the data delivery cycle, the problems can occur at Read More...
Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

etl data warehouse info  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. 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 info  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...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

etl data warehouse info  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

etl data warehouse info  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More...

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