Home
 > search for

Featured Documents related to »  etl definition of data warehousing


Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
Start evaluating software now
Country:
 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » etl definition of data warehousing


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

etl definition of data warehousing  software products known as ETL (Extract/Transform/Load) tools. There are currently over 50 ETL tools on the market. The data acquisition phase can cost millions of dollars and take months or even years to complete. Data acquisition is then an ongoing, scheduled process, which is executed to keep the warehouse current to a pre-determined period in time, (i.e. the warehouse is refreshed monthly). Changed Data Capture: The periodic update of the warehouse from the transactional system(s) is complicated by Read More
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

etl definition of data warehousing  Data Product PDM | ETL Product Data | ETL Product Data Analyst | ETL Product Data Base | ETL Product Data Feed | ETL Product Data File | ETL Product Data Information | ETL Product Data Mastering | ETL Product Data Services | Read More
Comparing the Total Cost of Ownership of Business Intelligence Solutions
For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant

etl definition of data warehousing  but hand coding the ETL or scripting required to create these results can be very arduous and error-prone. Birst eliminates the need for manually creating this process by automatically detecting changes in dimensional records, automatically adding new fact metrics and automatically recording and managing snapshot sets. Logical Business Metrics and Calculations Business metrics are the core of a BI application. They are the reason that BI exists and they are the facts that will drive business decisions. 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 definition of data warehousing  fragile as the procedural ETL scripts and can accommodate the necessary changes much more quickly. Need for Clean Information Another historical driver for the DW model has been the perceived need to clean information prior to making it available for reporting, and many companies are still investing large amounts of time, human resources (HR), and money in cleaning their data and applying consistent terminology to it as a necessary step in building their DW. As was mentioned earlier on, some vendors 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 definition of 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
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 definition of 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
The Impact of CRM and Sales Process: Monetizing the Value of Sales Effectiveness
To work through all the issues necessary to improve sales performance, executives have a number of options for leveraging people and knowledge. However, an area

etl definition of data warehousing   Read More
Big Data Comes of Age: Shifting to a Real-time Data Platform
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving

etl definition of data warehousing  big data,innovation,data management,data platforms,data ecosystems 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 definition of data warehousing  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More
Operationalizing the Buzz: Big Data 2013
The world of Big Data is maturing at a dramatic pace and supporting many of the project activities, information users and financial sponsors that were once the

etl definition of data warehousing  Enterprise Management Associates, EMA, 9sight Consulting, big data, hybrid data ecosystem, real-time data, big data buzz, big data requirements, big data challenges, big data architecture Read More
Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization
Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as

etl definition of data warehousing  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization Read More
Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone
Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the

etl definition of data warehousing  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software Read More
Revamping Data Management: Big Data Proves Catalyst to Updating Data Management Strategies
Data management plays a key role in helping organizations make strategic sense of their data and how to best use it. Organizations with data management maturity

etl definition of data warehousing  data management, data management strategy, managing complex data sources, big data, data management adoption, big data management Read More
Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

etl definition of data warehousing  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others