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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 etl contains information on data warehousing

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Human Resources (HR)

Human Resources encompasses all the applications necessary for handling personnel-related tasks for corporate managers and individual employees.  Modules will include Personnel Management, Benefit Management, Payroll Management, Employee Self Service, Data Warehousing and Health & Safety.  

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Documents related to » etl contains information on data warehousing

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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

etl contains information on data warehousing  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

Oracle Further Orchestrates Its SOA Forays Part Two: Strategy


Oracle's vision of a complete collaborative e-Business solution requires a database strategy, an application server strategy, and an e-business strategy. Will users buy into this vision?

etl contains information on data warehousing  extraction, transformation, and loading (ETL), and data mining. Now Oracle has created what is likely the most complete integration solution available. In fiscal 2004, the vendor released a new version of its technology platform software, dubbed collectively Oracle 10g . The software provides a platform for developing and deploying applications on the Internet and on corporate intranets, and it comprised of database management software, application server software, and collaboration software, including Read More

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 performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

etl contains information on data warehousing  used to limit the ETL processes to nodes 1 and 2 in the cluster and Ad-hoc queries to node 3 and 4. Workload Monitoring In order to have an overall view of what is happening on your system and to establish a baseline in expected performance you should take hourly AWR or statspack reports. However, when it comes to real-time system monitoring it is best to start by checking whether the system is using a lot of CPU resources or whether it is waiting on a particular resource and if so, what is that Read More

Computer Associates Splashes Into the Data Warehousing Market with Platinum Technology Acquisition


Computer Associates DecisionBase is an Extract/Transform/Load tool designed to help in the population and maintenance of data warehouses. First released in March of 1998, the product is geared towards large implementations with the need for metadata management. The current release is 1.9, which is the fourth release of the product.

etl contains information on data warehousing  of vendors in the ETL market in the mid-1990''s was small, comprised of basically four companies (Prism, Carleton, Evolutionary Technologies, Trinzic) plus some modest offerings from IBM. In the past four years, the space has become very crowded, with over fifty vendors competing in various market niches (e.g. specializing in access to VSAM databases). Four vendors still primarily control the general market, including Ardent, Computer Associates, Informatica, and Sagent, with some offerings from IBM and Read More

Business Intelligence: A Guide for Midsize Companies


Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.

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Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

etl contains information on data warehousing   Read More

Single Sign-on (SSO): Truths and Myths


Technology products always seem to come out strong, and then wither under intense scrutiny. This was the case with single sign-on (SSO). However, any product driven by strong need will reinvent itself to address the problems it contains. With SSO, a number of myths have now been exploded. Find out why it may be time for you to evaluate SSO for your company. Myth #1: You can’t get true SSO.

etl contains information on data warehousing  single sign-on,compare single sign on,web single sign in,enterprise single sign on,single sign on made,best-in-class single-sign-on,single sign-on solution,single sign-on definition,single sign on solutions 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 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.

etl contains information on data warehousing   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, 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.

etl contains information on data warehousing  web content management software,database metadata,document metadata,information lifecycle management,metadata software,metadata definition,customer data integration,integration of data,metadata information,photo metadata,data integration services,data integration tools,business data integration,data quality analyst,legacy data integration Read More

Streaming Data and the Fast Data Stack


Big data is data at rest; fast data is streaming data, or data in motion. A stack is emerging across verticals and industries for building applications that process these high velocity streams of data. This new stack, the fast data stack, has a unique purpose: to grab real-time data and output recommendations, decisions, and analyses in milliseconds.

This white paper will look at the emerging fast data stack through the lens of streaming data to provide architects, CTOs, and developers with fundamental architectural elements of the new fast data stack: a LAMP stack for streaming data applications.

etl contains information on data warehousing  big data, data stack, fast data, fast data stack, streaming data applications, VoltDB Read More

Paperless Warehousing


Paperless Warehousing Pty Limited was incorporated in 1988 by two of the existing Directors with a vision to overhaul traditional warehousing operations by improving the logistics processes inside and outside the four walls of a warehouse thus providing Companies with a market advantage. Based in Sydney, Australia, Paperless Warehousing offers a wealth of experience, solidarity and dependability in Warehouse and Transport Management Systems. All our people are employees and are practitioners of the Logistics industry who know our products in depth and act as the quality control department for our developers. They are not outside consultants and are all housed in the same office in Sydney which creates an energy-filled atmosphere for the development and cross fertilisation of future enhancements. At Paperless Warehousing we have improved and modernised workflow by digitising the traditional paper based activities and replacing them with them with real time Radio Frequency Scanned or Interactive Voice Directed Tasks and/or RFID all within the same package. We have successfully implemented numerous major projects in various industry sectors across Australia and our software has been implemented in over 12 countries.

etl contains information on data warehousing   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 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? Big Data can be a Big Deal - read this white paper for some useful tips on ensuring secure, quality data acquisition and management.

etl contains information on data warehousing  big data white paper, consumer packaged goods, CPG industry, CPG big data, big data CPG, data acquisition CPG, CPG data acquisition, data CPG, CPG data, CPG LumiData Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

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