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Documents related to » etl implementing real time data warehousing


The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

etl implementing real time data warehousing  only in doing more ETL processes. The near real-time approach has some challenges such as increasing the downtime frequency; the pressure to decrease downtime period duration; and avoiding inconsistency in data results. If there is no actual need for a real-time data warehouse solution, a good option could be to implement a near real-time data warehouse. The Real-time Data Warehouse A real-time data warehouse enables data to be stored at the very moment it is generated and it is immediately captured, Read More
Microsoft Takes A Shot at the Business Intelligence Market
Microsoft Business Scorecard Manager 2005 has allowed Microsoft to enter the business intelligence (BI) market by using its client base to expand its offering

etl implementing real time data warehousing  Integration Services (SSIS) provides ETL capabilities. In addition, data can be transformed without the use of staging tables, thereby reducing data latency. Both structured and unstructured data can be extracted and converted between various types of data such as numeric and string (and so on), and data audits can be performed. Also, to account for slowly changing dimensions (SCDs), SSIS has a built-in wizard. Analysis Services provides data mining and OLAP capabilities to enable users to identify and 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

etl implementing real time 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
Access to Critical Business Intelligence: Challenging Data Warehouses?
There is a perception that if business users are given access to enterprise databases and raw query tools, they will create havoc in the system, which is a

etl implementing real time data warehousing  recent purchase of the ETL leader Ascential . In the meantime, the virtual data unification/EII preaching vendors must strive to educate the market and gain a critical mass of customers for the approach. The successful ones might, for the time being, be those that position their tools to complement, rather than replace, conventional data warehousing. Some recent surveys do cite a notable percentage of users mentioning the lack of centralized DW as a key reason for postponing the adoption of analytic Read More
Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

etl implementing real time data warehousing  management approaches. EAI and ETL can be thought of as push technologies, and EII can be regarded as a pull mechanism that seeks and finds data, as needed and in near real-time, by creating an enterprise-wide abstraction semantic layer for standardized access to any corporate data source. The ability to provide appropriate BI without having to adapt a DW for specific decision support tasks is sometimes referred to by EII vendors as on-demand BI . Companies can certainly benefit from accelerating BI Read More
Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices
This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions

etl implementing real time data warehousing  private cloud backup,private cloud data management,private cloud,backup software,data protection 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 implementing real time data warehousing  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer 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

etl implementing real time data warehousing  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More
Master Data Management: Extracting Value from Your Most Important Intangible Asset
In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe

etl implementing real time data warehousing  Data Management: Extracting Value from Your Most Important Intangible Asset Master Data Management: Extracting Value from Your Most Important Intangible Asset If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the 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

etl implementing real time data warehousing  data warehouse, data warehouse automation, BIReady, BI, business intelligence, big data, DWH, BI automation, analytics, EDW Read More
How Companies Use Data for Competitive Advantage
Find out in Leveling the Playing Field: How Companies Use Data for Competitive Advantage.

etl implementing real time data warehousing  companies data competitive advantage,companies,data,competitive,advantage,data competitive advantage,companies competitive advantage,companies data advantage,companies data competitive. Read More
Guidelines for Specification of Data Center Power Density
Conventional methods for specifying data center density don’t provide the guidance to assure predictable power and cooling performance for the latest IT

etl implementing real time data warehousing  for Specification of Data Center Power Density Guidelines for Specification of Data Center Power Density If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today''s always on, always available world where businesses can''t stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. Read More
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

etl implementing real time data warehousing   Read More
Business Basics: Unscrubbed Data Is Poisonous Data
Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data

etl implementing real time data warehousing   Read More
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

etl implementing real time data warehousing   Read More

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