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Software Functionality Revealed in Detail
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 data warehouse web site etl

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

Outsourcing, IT Infrastructure

The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » data warehouse web site etl

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.

data warehouse web site etl  Practices for a Data Warehouse on Oracle Database 11g Best Practices for a Data Warehouse on Oracle Database 11g If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Oracle has been helping customers like you manage your business systems and information with reliable, secure, and integrated technologies. Source : Oracle Resources Related to Data Warehouse : Data Warehouse (Wikipedia) Best Practices for a Data Warehouse on Oracle Read More

Has SAP Nailed Plant Level Leadership with Lighthammer?


The acquisition of the formerly loyal composite applications partner Lighthammer bolsters SAP's capabilities of connectivity and visibility into manufacturing plant performance. However, it does not, at this stage, provide much added industry-specific shop-floor functionality per se.

data warehouse web site etl  is useful as the data warehouse (i.e., SAP BW ) environment is an important source of information. For example, a customer might want to capture information about reason codes for failure, so that when things are not made as they are supposed to be, all that information is captured in a data warehouse. The problem is that, while information comes from production operations, goes to a data warehouse, and is viewed by the business, the very people who fed the information in typically do not see the data. In Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

data warehouse web site etl  manual input of product data Complete Item Data, including vendor part numbers, product attributes, and UPC’s (where available) Product dimensions, weight, size, cube, etc., enabling warehouse automation Proper abbreviations in Brand and Description fields Accurate and up to date costing and pricing data Keeping item data in sync with vendors, 3rd party content services, customers and other applications or databases within your enterprise. Eliminating bad item data provided by vendors, including costs 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 reconnects with QAD and looks at how the company has leveraged strategic channels, highly scalable solutions, and technology partnerships to address the unique requirements global manufacturers and maintain a competitive position in the global manufacturing ERP market.

data warehouse web site etl  BI v.3.5 automates the data warehouse capability and enables users to configure views, rather than relying on a specialized information technology (IT) staff. This capability mitigates the classic ERP conundrum, wherein companies invest in BI tools but can’t use them because they can’t afford the skills or the people to maintain them. Usability —With expectations for higher value from their ERP solutions, companies are also placing greater focus on usability. Companies and their users have high expe Read More

The “Gentler” Giant’s Value Proposition to Overcome the “Little Guys’” Perception


Since its launch less than a year ago, Oracle’s VAD Remarketer Program has been quite successful in recruiting new value-added distributors worldwide. But the real challenges that remain for this software giant have more to do with its image within the market than with its products.

data warehouse web site etl  benchmark and the TPC-H data warehouse performance benchmark. Also, Oracle Database 10g Standard Edition One comes cheaper than Microsoft SQL Server 2005 SE , in terms of both the number of users and the number of sockets. Given that the database is also tightly integrated with Microsoft Windows , Oracle also touts a better (i.e., lesser) price and performance figure on that operating system too. The typical problem with non-Oracle databases is when a small customer calls and asks the resellers for a Read More

Logs: Data Warehouse Style


Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

data warehouse web site etl  Data Warehouse Style Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency. Read More

Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

data warehouse web site etl  to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More

New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

data warehouse web site etl  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More

Web 2.0: “Code Free” Siebel Web Service Integration


One of the most challenging areas in any Siebel implementation has traditionally been setting up and maintaining interfaces between Siebel and other back-end systems. However, it is now possible to create a real-time web service interface to other applications from Siebel 7.8 or 8.0, without writing a single line of code.

data warehouse web site etl  Siebel Deployments – Exchange data with Universal Customer Master (UCM) or a division of the company that is on a separate implementation; or Government Agency Data - Access to public database. Understanding Web Services in Siebel Diagram 1: Run-time Web Services A Web Service is the end point of an interface in a Service-Oriented Architecture (SOA) . The interface is defined by a contract between the systems and published by the providing system. The big advantage of this contract is that the Read More

Reinventing Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud


Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and reporting departments, a large "surface area of risk" is created. This area of risk increases even more when sensitive information is sent into public or hybrid clouds. Traditional data masking methods protect information, but don’t have the capability to respond to different application updates. Traditional masking also affects analysis as sensitive data isn’t usually used in these processes. This means that analytics are often performed with artificially generated data, which can yield inaccurate results.

In this white paper, read a comprehensive overview of Delphix Agile Masking, a new security solution that goes far beyond the limitations of traditional masking solutions. Learn how Delphix Agile Masking can reduce your organization’s surface area risk by 90%. By using patented data masking methods, Delphix Agile Masking secures data across all application lifecycle environments, providing a dynamic masking solution for production systems and persistent masking in non-production environments. Delphix’s Virtual Data Platform eliminates distribution challenges through their virtual data delivery system, meaning your data can be remotely synchronized, consolidated, and takes up less space overall. Read detailed scenarios on how Delphix Agile Data Masking can benefit your data security with end-to-end masking, selective masking, and dynamic masking.

data warehouse web site etl  Data Masking: Secure Data Across Application Landscapes: On Premise, Offsite and in the Cloud Be it personal customer details or confidential internal analytic information, ensuring the protection of your organization’s sensitive data inside and outside of production environments is crucial. Multiple copies of data and constant transmission of sensitive information stream back and forth across your organization. As information shifts between software development, testing, analysis, and Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

data warehouse web site etl  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

data warehouse web site etl  think Data Integration: Delivering Agile BI Systems with Data Virtualization Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more Read More

Web-scale 101: From Hyper Convergence to Cloud Infrastructure


Learn the new approach to data center infrastructure and how it could influence your business.

Some questions this web-scale guide delves into include:
  • What is web-scale and what are its key characteristics?
  • What are the potential benefits to enterprise IT from web-scale?
  • What are the different approaches to bringing web-scale principles and technologies into enterprise datacenters?
  • Are web-scale principles essential to designing hyper-converged solutions?


data warehouse web site etl  the new approach to data center infrastructure and how it could influence your business. Some questions this web-scale guide delves into include: What is web-scale and what are its key characteristics? What are the potential benefits to enterprise IT from web-scale? What are the different approaches to bringing web-scale principles and technologies into enterprise datacenters? Are web-scale principles essential to designing hyper-converged solutions? Read More

RAPid Data Analytics Platform


RAPid Data Analytics Platform is a business intelligence (BI) platform that combines data management and analytics in a single, cloud-based environment for smarter, faster, more insightful business decisions.

data warehouse web site etl  Data Analytics Platform RAPid Data Analytics Platform is a business intelligence (BI) platform that combines data management and analytics in a single, cloud-based environment for smarter, faster, more insightful business decisions. Read More