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Business Intelligence (BI)
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Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
 

 oracle sql data comparison


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

oracle sql data comparison  was also introduced in Oracle Database 11g. This view enables real-time monitoring of long-running SQL statements and all parallel SQL statements without any overhead. Starting with Oracle Enterprise Manager database console 11.1.0.7 there is also a graphical interface to GV$SQL_MONITOR. The SQL Monitoring screen shows the execution plan of a long-running statement or a statement that is running in parallel, in near real-time (the default refresh cycle is 5 seconds). You can monitor which step in the

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Core PLM--Product Data Management - Discrete RFI/RFP Template

Product Data Management (PDM), Engineering Change Order and Technology Transfer, Design Collaboration, Process and Project Management, Product Technology Get this template

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Business Intelligence (BI)
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Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...

Documents related to » oracle sql data comparison

Oracle Applications - An Internet-Reinvented Feisty Challenger


It is startling how much has changed in Oracle’s applications business during the last two years. Oracle is indisputably the most reformed applications vendor, having achieved significant growth in total revenue, license revenue and net income. Oracle has a head start on most of its competition pertaining to Internet applications, and the Company still leads the ERP pack both on product technology vision and execution. However, the future will by no means be without serious challenges.

oracle sql data comparison  SAP'ed by IBM .) Oracle Loses Again In January 2000, SAP AG chose SQL Server 7.0 as its strategic database for the Windows 2000 platform. SAP and Microsoft will cooperate to make the Windows 2000 OS available as a platform choice for customers wishing to implement mySAP.com solutions. (For additional details see Oracle Loses Again .) Enterprise Financial Application Software: How Some of the Big ERP Vendors Stack Up To learn how Oracle fared in a case study of four major ERP vendors, J.D. Edwards, Read More

Oracle Mends Its Ways To Bounce Back


Despite its inclination to traditionally thrive on a moderate amount of controversy and to fly a number of trial balloons, Oracle, has also been a practical company, often modifying its strategy and adopting a tack that would work better. Thus, while Oracle's declining revenue and profit are painfully noted, the company has been taking some long overdue moves to appease its customers and to play fair with the competition. Time will only tell, however, whether Oracle has used these slower economic times to get its act together and to position itself for the its future revival.

oracle sql data comparison  ERP solution should evaluate Oracle Applications 11i. The fact that Oracle's database maintains the lion share amongst the SAP , PeopleSoft or Siebel install base despite these vendors announcing IBM DB2 as their primary base and despite their strong support for the Microsoft SQL Server as well should indicate the powerful database technology. Thus, it is not completely inconceivable to see some Oracle-file users not minding the technology lock-in and therefore opting to remain with Oracle Applications. Read More

What’s New in SAP BusinessObjects XI 3.1


SAP BusinessObjects XI 3.1 solutions are the next major release of business intelligence (BI) software from SAP. They include features ranging from reporting, query and analysis, and dashboards and visualization, to discovery and predictive analytics capabilities, as well as data quality and extract, transform, and load (ETL) functionality. Get a high-level overview of the new features in SAP BusinessObjects XI 3.1.

oracle sql data comparison  SUPPORT FOR MICROSOFT AND ORACLE SOFTWARE   Integration with IT Environments Enabled by Microsoft Software Microsoft recently refreshed many components of its technology platform: Microsoft Windows Server 2008, Microsoft SQL Server 2008, Internet Information Services 7.0 (IIS 7.0) , and Microsoft Visual Studio 2008. SAP BusinessObjects XI 3.1 supports all the latest releases of that technology platform and offers native Microsoft .NET Framework support for SAP Business- Objects Web Intelligence® Read More

Now the Minnows are Eating the Minnows


In a transaction valued at approximately $15 million, DataMirror Corporation has announced that it has completed the acquisition of assets and assumption of certain liabilities of Constellar Corporation. Both companies have been small niche players in the data warehousing market, Constellar being almost exclusively Oracle-based, and DataMirror concentrating on the IBM AS/400. The goals appear to be increased access to capital for Constellar, and a foothold in the Oracle market for DataMirror.

oracle sql data comparison  absolute requirement for an Oracle database. The product can move data between other platforms, but its backend repository has had to be Oracle. Customers know that a DBA will be required to maintain this database, and if they don't have one in-house, this can be an expensive proposition. The two company's goals appear to be increased access to capital for Constellar, and a foothold in the Oracle market for DataMirror. Market Impact DataMirror Corporation, headquartered in Toronto, Canada, is a provider Read More

Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

oracle sql data comparison  data quality assurance plan,data quality assurance process,data quality assurance techniques,data quality attributes,data quality audit,data quality audits,data quality benefits,data quality best practices,data quality blog,data quality books,data quality business intelligence,data quality campaign,data quality center,data quality certification,data quality challenges 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."

oracle sql data comparison  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More

Implementing Energy-Efficient Data Centers


But in the white paper implementing energy-efficient data centers, you'll learn how to save money by using less electricitywhether your data cente...

oracle sql data comparison  implementing energy efficient data centers,implementing,energy,efficient,data,centers,energy efficient data centers,implementing efficient data centers,implementing energy data centers,implementing energy efficient centers,implementing energy efficient data. Read More

Is Oracle Becoming Invincible?


On June 20, Oracle Corporation, the leading provider of database and enterprise software applications, announced its fiscal 2000 results, claiming that it has passed SAP to become the world's largest applications software company.

oracle sql data comparison  Oracle Becoming Invincible? Is Oracle Becoming Invincible? P.J. Jakovljevic - July 26, 2000 Event Summary According to the press release on June 20, Oracle Corporation announced that in its fiscal fourth quarter adjusted net income increased 76% to $926 million, or $0.31 per share, while revenue grew to $3.4 billion. This compares to $2.9 billion in revenue, $527 million in adjusted net income, and $0.18 per share in Q4 1999. Fiscal year 2000 adjusted net income increased 61% to $2.1 billion, or $0.69 Read More

Microsoft Goes Their Own Way with Data Warehousing Alliance 2000


Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

oracle sql data comparison  data warehousing market. Obviously, Oracle is not a member of this alliance, and other applications show spotty representation. For example, in the enterprise resource planning space, Baan NV is represented, but SAP AG and PeopleSoft are not. In the area of supply chain analytics, the only vendor represented is Manuguistics Inc. User Recommendations We recommend that customers evaluate this solution cautiously, and only after the solution has been implemented numerous times and after interviews with Read More

Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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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.

oracle sql data comparison  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing 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.

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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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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.

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