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Software Functionality Revealed in Detail
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 data dictionary views


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

data dictionary views  it simply updates the data dictionary to reset a pointer from the partition to the table and vice versa. Because there is no physical movement of data, this exchange does not generate redo and undo, making it a sub-second operation and far less likely to impact performance than any traditional data-movement approaches such as INSERT. Lets assume we have a large table called Sales, which has daily range partitions. At the end of each business day, data from our online sales system needs to be loaded into

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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.

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.

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Enterprise Incentive Management (EIM) RFI/RFP Template

Modeling and Strategic Analysis, Payee Database, Payee Sub-ledger, Compensation Plan Administration, Compensation Calculations, Views and Reports, Exception Data Resolution Management, Security and Compliance, Integration and Interfacing Requirements, Application Technology 

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Documents related to » data dictionary views

Will Servigistics Click on More Service Cylinders? - Part 3


Part 1 of this blog series depicted the rise and fall of erstwhile public software company Click Commerce based in Chicago, Illinois (US). At the end of the post, I mentioned the merger of Servigistics and Click Commerce's Service Network Services (SNS) division. The private equity firm Marlin Equity Partners acquired both entities recently with the idea of forming a new combined company to solve

data dictionary views  footprint with a shared/common data dictionary and service-centric workflows. To that end, Servigistics pledges to solicit client input and guidance in its decision-making process. The vendor plans to provide clients with clear points of contact and escalation paths Still, I agree with both Jason Busch's  and  Bob Ferrari’s blog posts , which advise caution. It is also difficult to dispute the recommendations from MCA’s blog post  (at least, it cannot hurt to ask these important questions in case Read More

Glossary of Enterprise Applications Terminology Part Two: Just-in-Time to Extensible Markup Language


As enterprise applications systems developed over time, a continuous stream of new terminology surfaced. This is a glossary of those terms.

data dictionary views  allow organizations to communicate data without intimate knowledge of each other's IT systems behind the firewall. Unlike traditional client/server models, Web services do not provide the user with a GUI, but instead share business logic, data, and processes through a programmatic interface across a network. Web services allow different applications from different sources to communicate with each other without time-consuming custom coding, and because all communication is in XML, Web services are not Read More

Business Intelligence Status Report


Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged? What does the terminology surrounding it mean, and what is its current state of affairs?

data dictionary views  generally stored in a data dictionary , which is a file in a DBMS that defines the basic organization of a database. It contains a list of all files in the database, the number of records in each file, and the names and types of each field. Data dictionaries do not contain any actual data from the database, only bookkeeping information for managing it. Without a data dictionary, however, a DBMS cannot access data from the database. On the other hand, most DBMS's keep the data dictionary hidden from users Read More

Informatica Morphs into Enterprise Decision Support Vendor


Informatica Corporation, long an established vendor in the Extract/Transform/Load (ETL) market space, has morphed themselves into a vendor of solutions for the "e-Business infrastructure". In conjunction with their contract to build an enterprise data warehouse for the United States Postal Service and their MX2 metadata exchange initiative, Informatica is reinventing itself.

data dictionary views  to move the required data between the two environments. Informatica was formed to solve this problem. The first product to be introduced to market was Open Bridge in early 1994. Open Bridge was a set of tools that allowed the movement of data from mainframes into the client/server environment using a graphical front-end. After receiving $2.5 million in venture funding, PowerMart was released in May of 1996 as the next generation of Open Bridge, with the addition of features designed to allow customers to Read More

Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

data dictionary views  aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

data dictionary views  what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More

The Fast Path to Big Data


Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise information technology (IT). Companies that recognize this reality—and that act on it in a technologically, operationally, and economically optimized way—will gain sustainable competitive advantages.

data dictionary views  Fast Path to Big Data Today, most people acknowledge that big data is more than a fad and is a proven model for leveraging existing information sources to make smarter, more immediate decisions that result in better business outcomes. Big data has already been put in use by companies across vertical market segments to improve top- and bottom-line performance. As unstructured data becomes a pervasive source of business intelligence, big data will continue to play a more strategic role in enterprise Read More

Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

data dictionary views  PowerCenter 5 Enables Enterprise Data Integration Informatica PowerCenter 5 Enables Enterprise Data Integration M. Reed - April 5, 2001 Event Summary Informatica Corporation (NASDAQ: INFA), a provider of e-Business analytic software, has announced the availability of Informatica PowerCenter 5 , an enterprise data integration platform for the deployment and management of analytic applications and data warehouses. The vendor states that the Informatica PowerCenter 5 suite is designed to be a 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 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 and a discussion of the results.

data dictionary views  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

Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

data dictionary views  Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source : APC Resources Read More

Data Warehousing in the Big Data Era: Are You BIReady?


Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become "BI ready."

data dictionary views  Warehousing in the Big Data Era: Are You BIReady? Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become BI ready. Read More

Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

data dictionary views  Big Data Actionable: How Data Visualization and Other Tools Change the Game To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques. Read More

Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

data dictionary views  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available Read More