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Documents related to » etl perspectives on data warehousing


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 perspectives 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 resource. Read More...
Unlocking Hidden Value from Investments in SAP NetWeaver Business Warehouse
Extending the capabilities and value of SAP NetWeaver Business Warehouse is a concern for users. To improve data use and fact-based decision making, and reduce

etl perspectives on data warehousing  Transformation and Load | ETL Layer | Data Reporting | Data Migration | SAP Business Intelligence Tools | BW Accelerator | Business Intelligence Data Warehouse | BI Accelerator | Business Intelligence Software Providers | Online Analytical Processing | Data Warehouse Software | Business Intelligence Reporting Software | Business Intelligence White Paper | Ad-hoc Data Marts | Avoid Stranded Data | SAP Netweaver Advantages | Remodeling Data | Corporate Data Sources | Data in SAP and Non-SAP Systems | 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

etl perspectives on data warehousing  enterprise data warehousing | etl data warehouse | financial data warehouse | future of data warehousing | inmon data warehouse | introduction to data warehouse | metadata data warehouse | metadata warehouse | ods data warehouse | olap data warehouse | open source data warehouse | operational data warehouse | real time data warehousing | staging warehouse | star schema data warehouse | virtual data warehouse | what is data warehouse | what is data warehousing | BI active data warehouse | BI active data Read More...
Contemporary Business Intelligence and Its Main Components
Business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process by allowing a company to manipulate corporate

etl perspectives on data warehousing  also different from conventional ETL tools for data warehousing because it neither moves data nor creates new data stores of integrated data. Rather, it leaves data where it is, leveraging metadata repositories across multiple foundation enterprise systems, and visibly pulls information into new applications. As a result, customers may be content to trade in expensive DWs for a data extraction and presentation layer that sits on top of existing transactional systems—but only on the condition that they 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

etl perspectives on data warehousing  Sign-on (SSO): Truths and Myths Single Sign-on (SSO): Truths and Myths If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. OneSign® Single Sign-On provides a solution that is radically easy to implement - streamlining and tightening security without requiring any scripting, modifications to existing directories or applications, or inconvenient changes to end-user workflow. OneSign SSO enables convenient access to any and all Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

etl perspectives on data warehousing  Master Data Management,MDM,Customer Data Integration,CDI,Data Integration,CRM,BI,business intelligence,data standardization,data consolidation,Customer Relationship Management Read More...
Data Management and Analysis
From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it

etl perspectives on data warehousing  data management analysis software selection,data analysis management solution evaluation,compare most accurate data tools, statistics application selection,statistical methods,improve data management and analysis,rfp to manage data,ecm software evaluation,information security is,compare information security systems,document management systems,dms,dms selection,is solution comparisons,product information management solution selection,pim,enterprise content management ecm,electronic media files,pim solution selection,compare top access control files software,security,evaluate data delivering systems,business analysis reports,dmag,analyse statistics,methodology,evaluate information security systems. Read More...
2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download

etl perspectives on data warehousing  data protection,data backup,2012 data statistics,data loss,business data backup Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

etl perspectives on data warehousing   Read More...
Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

etl perspectives on data warehousing  business data quality,customer data quality,data quality,data quality center,data quality control,data quality improvement,data quality analysis,data quality articles,data quality assessment Read More...
Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever
Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online

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Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

etl perspectives on data warehousing  IBM,data recovery,software data recovery,data recovery tools,data recovery tool,deleted data recovery,harddrive data recovery,hdd data recovery,ntfs data recovery,disk data recovery,data protection act,data protection,data recovery hard disk,lost data recovery,freeware data recovery 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

etl perspectives on data warehousing  high-density zones,low-density data center,data center cooling density zones,data center infrastructure density zones,data center efficiency,high-density zones data center dynamics,data center designs high-density zones,apc data center,low-density power cooling infrastructure Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

etl perspectives on data warehousing  customer data quality,data cleansing service,data integration system,data cleansing services,data profiling,data profiling software,data quality,data cleansing software,data governance,data integration Read More...

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