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Advanced ETL with Pentaho Data Integration
When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine

etl transformations  ETL with Pentaho Data Integration When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores does it actually connect to? Read More...
Transportation Management Systems
Transportation management systems should provide the basic components of a shared information system to support collaboration, rates, routes, roles, transaction sets, documents, and information exc...
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Documents related to » etl transformations


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 transformations  the ETL tool. The ETL tool should have a metadata ( data about data ) repository, which allows the data sources, targets, and transformations to be tracked in an effective manner. The tool should be able to access legacy data without the need for pre-processing (usually with COBOL programs) to get the data into sequential flat files . This becomes increasingly complex when working with filesystems like VSAM (Virtual Sequential Access Method), and files that contain COBOL Occurs and Re-Defines clauses Read More...
Enterprise Information Management: Strategy, Best Practices, and Technologies on Your Path to Success
New data sources, unstructured data, and greater volumes of data than ever before are creating an information overload. Plus, customers’ demands for faster

etl transformations  the desired data, the ETL program takes over and merges the two disparate data streams into one structured data stream where a myriad of transformations can be applied. This in itself is a major boon to EIM. In years past, practitioners had to struggle with complex and convoluted processes to extract data from freeform textual data and then compromise on how it was stored with structured data. With 80% of the world’s data in unstructured data sources, an EIM strategy will eventually have to address it. Read More...
systemfabrik Releases an EAI Product?
With the announcement of the immediate availability of Warehouse Workbench 4.0 (WWB), systemfabrik, originally an Extract/Transform/Load (ETL) vendor, is

etl transformations  processes and moves beyond ETL (Extract, Transform, and Load) capabilities. Warehouse Workbench 4.0 introduces an open, enterprise wide Information Infrastructure Architecture based on the Universal Transformation Language (UTL). Reverse Engineering and graphical online simulation of all transformations, accelerate the integration of inter enterprise data. Increasingly, data marts and data warehouses are no longer isolated features within the company says Gerrit Kolb, CEO of systemfabrik. Their rapid Read More...
Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics
No matter how well an enterprise implements a CRM, ERP, SCM, Business Intelligence, or Data Warehouse project, poor data quality can destroy its utility and

etl transformations  A? Many applications and ETL jobs turn off referential integrity checks in order to speed the loading of databases (or use some other logic to check referential integrity). As a result, the data that ends up in a database that supposedly provides referential integrity can often be incorrect. Linkages . Are there parts in our invoice file that don't exist in the parts catalog? Are there orders that have been marked as delivered than can't be matched to an invoice? Primary Keys . Are primary keys unique? Read More...
BI Analysis in a Nutshell: Lyzasoft
In my previous post, Give BI to the Masses, I wrote about the strategies that have been implemented in some companies to empower more and more users to use

etl transformations  extract, transform, and load (ETL) routines and report tools are incorporated under the same interface and smoothly integrated. Secondly, Lyza makes it very simple to connect to multiple sources, and creates transformation workflows in a very short period of time. It can then access the source directly and simply grab the table or file to be included. Data will be imported into the application, and incorporated from database tables and other sources with a single click (surprisingly, the loading times wer Read More...
In-Memory Analytics: A Multi-Dimensional Study
The primary bottleneck to high-performance multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk

etl transformations  their product, QlikView . ETL functionality enables users to combine data from various sources into memory. QlikView discovers associations between data entities as it prepares data for analysis and creates a decentralized platform where each user can take complete control of the data required for analysis. This contrasts the traditional BI approach of a central data warehouse that serves the entire organization and forces a single definition of measures and dimensions across an enterprise. However, Read More...
Thinking Radically: Interview with Dan Linstedt
To work in the software industry world it is often necessary to think radically, or “out of the box” in order to innovate, solve problems, or stay ahead of the

etl transformations  project plan, the extract-transform-load (ETL) layers, etc... all the ingredients for the recipe to be successful in implementation. Because the Data Vault Methodology talks about moving the business rules downstream (pulling data from the data vault/enterprise data warehouse (EDW), transforming it, then putting it into data marts), the IT team has the best of all worlds. Because the data vault standards dictate raw but integrated by business key be loaded to the data vault model, we are now free to loa Read More...
Gallup and TEC Form Alliance to Meet Government and Industry Demands for Successful Enterprise Transformation
The Gallup Organization and Technology Evaluation Centers Inc. have joined forces in a strategic alliance. The mission: to complement Gallup's Transformation

etl transformations  and TEC Form Alliance to Meet Government and Industry Demands for Successful Enterprise Transformation Gallup and TEC Form Alliance to Meet Government and Industry Demands for Successful Enterprise Transformation Gallup teams up with TEC to add IT assessment to its comprehensive business transformation assurance services, and to drive growth for public and private sector clients Washington, DC, and Montreal, Quebec, Sept 14, 2006 The Gallup Organization and Technology Evaluation Centers Inc. have Read More...
Workday Tackles Big Data in the Cloud
At the recently held Workday Rising 2012 conference, Workday unveiled big data analytics for its users in human resources (HR) and financial departments

etl transformations  extract, transform, load and (ETL), and resulting latency, while being on a single security model; this is similar to SAP HANA, but for SAP users it comes with an extra price, whereas it comes included in the regular Workday solution and therefore has a  lower cost of ownership. In addition, no coding is required for business users to build dashboards, and there is a mobile BI deployment. But sometimes even all those impressive capabilities are not enough—customers might need external data, too, to Read More...
SAS: Striving to Sustain Leadership
SAS Institute has been successful, moving beyond a business intelligence. Lately, it has lately focused on sustaining its technology leadership, expanding in

etl transformations  through the SAS Enterprise ETL Server; data warehousing through the SAS Intelligence Storage; and portal capabilities, and query, and reporting through the SAS Enterprise BI Server. These offer several UIs the opportunity to improve usability throughout all levels of the enterprise. SAS 9 data integration includes data quality and a common metadata repository for ensuring reliability of information across computing systems. SAS Enterprise ETL Server cleanses and integrates data into a common, usable data Read More...
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 transformations  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...
Are Data Warehouses as Dead as the Dodo? (Part 2: 1010data and Illuminate)
Although information analysis continues to be vital for insights into a company’s health and future, the traditional data warehouse structure may already be

etl transformations  Data Warehouses as Dead as the Dodo? (Part 2: 1010data and Illuminate) Although information analysis continues to be vital for insights into a company’s health and future, the traditional data warehouse structure may already be past its best-before date, due to major and radical transformations in the market. It may just be a matter of “Evolve or Die”. . . Indeed, in my last blog post Are Data Warehouses as Dead as the Dodo? (LiveDashBoard and QlikView) , I talked about how some software 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 transformations  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...

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