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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...
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...
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...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

etl implementing real time data warehousing  Implement Data Migration , ETL Extraction Transformation and Load , ETL Project , ETL Guide , ETL Quality Project Plan , Managing ETL Strategies , Design Process , Scope Extraction Transofrmation Load Effort , Essential Needs Extraction Transofrmation Load , Mapping Extraction Transofrmation Load Phases Tasks , Cost Effective Development , Free Documentation Extraction Transofrmation Load , Implement System , Successful Project Plan , Successful Methodology , Practical Procedure , Requirement , Schedule 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

etl implementing real time data warehousing  data quality jobs,data quality solution,data quality methodology,data quality strategy,address data quality,data quality manager,data quality audit,data quality measurement,what is data quality,data quality in data warehouse,data quality dashboard,data quality program,clinical data quality,improving data quality,data quality measures Read More...
Data Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

etl implementing real time data warehousing  data storage cloud afford,data,storage,cloud,afford,storage cloud afford,data cloud afford,data storage afford,data storage cloud. 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 implementing real time data warehousing   Read More...
Don''t Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

etl implementing real time data warehousing  big data white paper, consumer packaged goods, CPG industry, CPG big data, big data CPG, data acquisition CPG, CPG data acquisition, data CPG, CPG data, CPG LumiData Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

etl implementing real time data warehousing  data governance,data quality processes,data management processes,data governance initiative,data governance best practices,data governance roles and responsibilities,data governance charter,data governance strategy,data governance conference,data governance policy,data governance model,what is data governance,data governance plan,data warehouse governance,data governance definition Read More...
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

etl implementing real time data warehousing  big data analytics,about data mining,advanced analytic,advanced analytics,advanced analytics definition,advanced analytics techniques,advanced data analytics,analytic data,analytic database,analytic databases,analytical data,analytical database,analytical software,analytics,analytics business Read More...
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

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...
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

etl implementing real time data warehousing  The selection of the ETL tool requires an understanding of the source data feeds. The following issues should be considered: Many warehouses are built from legacy systems that may be difficult to access from the computer network. ETL tools often do not reside on the same machine as the source data. The data structures of the legacy systems may be hard to decompose into raw data. Legacy data is often dirty (containing invalid data, or missing data). Care must be taken in the evaluation of the tool to Read More...

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