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Informatica Morphs into Enterprise Decision Support Vendor
Informatica Corporation, long an established vendor in the Extract/Transform/Load (ETL) market space, has morphed themselves into a vendor of solutions for the

etl schema  there are few pure-play ETL vendors left, most have entered into the Business Intelligence space and eBusiness markets, and/or are attempting to provide End-To-End Data Warehousing solutions. This fact will make it more difficult to compare vendors against each other due to differing product mixes. Glossary: FTP: (File Transfer Protocol) A protocol used to transfer files over a TCP/IP network (Internet, UNIX, mainframe, etc.). It includes functions to log onto the network, list directories and copy Read More...
ERP for Services (Non-manufacturing)
A multinational consulting company specializing in industrial automation turned to TEC for help selecting an enterprise resource planning (ERP) solution to replace its legacy system—a patc...
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Documents related to » etl schema


Business Intelligence Status Report
Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged

etl schema  that combine into one ETL tool to pull data out of one database and place it into another database are logically called Extract —the process of reading data from a database. Transform —the process of converting the extracted data from its previous form into another form that can be placed into another database. Transformation occurs by using rules or lookup tables or by combining the data with other data. Load —the process of writing the data into the target database or DW. Thus, ETL tools are Read More...
Why don’t the Potential Benefits of Spend Analysis Come Easily?


etl schema  be addressed in this ETL process. In the case of spend management, some refer to this step as “Cleanse, Classify, and Enrich” via algorithms for some sort of automated data classification, such as to the  United Nations Standard Products and Services Code (UNSPSC)  eight-digit taxonomy, four-digit  eCl@ss product classification (in Germany’s energy sector) , Dunn & Bradstreet’s (D&B) Standard Industrial Classification (SIC) codes and North American Industry Classification System (NAICS) codes, 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 schema  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...
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 schema  Metric definitions Security rules/filters ETL processes Schema definitions Reports Reports When the time comes to migrate these changes into a production environment the challenges can be considerable. Special time windows must be used to ensure production system downtime is minimally disruptive. Some metadata must be moved from development to production, while others are not. For example, the users who are defined in a development instance may not be the same users defined in a production instance, but Read More...
Attunity to Take Care of Infor’s Mainframe Systems
Attunity, a provider of information availability software solutions, has announced an OEM reseller agreement with Infor, which will enable Infor to offer

etl schema  batch-based extract, transform, load (ETL) data integration. Its solutions enable access, sharing, and distribution of data, including big data, across the maze of heterogeneous enterprise platforms, organizations, and the cloud that is today’s IT environment. 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 schema  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...
IBM Acquires Cognea as Watson’s Mouthpiece
IBM has acquired Cognea, an Australian startup that develops virtual assistant software that interacts with users via artificial intelligence (AI)–based

etl schema  Acquires Cognea as Watson’s Mouthpiece IBM has acquired Cognea , an Australian startup that develops virtual assistant software that interacts with users via artificial intelligence (AI)–based personalities. IBM plans to integrate Cognea's technology with its Watson cognitive computing platform, with the idea of allowing Watson to deliver conversational services. Potential user scenarios include virtual personal assistants, health coaches, companions for elderly people, investment advisors, Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

etl schema  extract, transform, and load (ETL) process in a data warehousing system extracts records from data source(s), transforms them using rules to convert data into a form that is suitable for reporting and analysis, and finally loads the transformed records into the destination (typically a data warehouse or data mart). Data cleansing is an integral part of the transformation process and enforces business and schema rules on each record and field. Data cleansing involves the application of quality screens Read More...
Evolutionary Technologies Does EAI (Always Did, We Just Didn’t Call It That)
Evolutionary Technologies (ETI) has announced the newest release of their flagship product, ETI•EXTRACT Tool Suite Release 4.2. ETI·Extract has long been well

etl schema  of Platinum Technology ). ETL tools have always been required to consolidate, merge, and move data for access by other processes. In the last few years, this ETL function has become one of the cornerstones of what has become known as enterprise application integration (EAI), a hot technology for enabling e-business and CRM (customer relationship management) initiatives, among others. The number of vendors now involved in this market either directly or tangentially has exploded, and it is becoming Read More...
Pricing for BI and Analytics
In recent years, the business intelligence (BI) and analytics space has been changing at an incredible rate, not only in terms of functionality but also in the

etl schema  for BI and Analytics In recent years, the business intelligence (BI) and analytics space has been changing at an incredible rate, not only in terms of functionality but also in the way BI providers plan their go-to-market, sales, and pricing strategies. Core business requirements like pricing and usability are forcing software providers to radically modify the way they approach customers and how they deliver their services. Two recent announcements by software vendors QlikTech and Kognitio are 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 schema  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...
Customer Relationship Analysis Firm Extends Reach
thinkAnalytics signs a partnering agreement with one of the largest information technology services companies in North America. Why does CGI expect

etl schema  do not replace traditional ETL (Extract/Transform/Load) functions but rather augments them to provide intelligent data cleanup. Data cleanup encompasses such functions as null replacement, data scaling and deduping. These functions are driven by a number of algorithms that apply AI and fuzzy logic techniques. CGI is a leading provider of IT services. With a base or about 80% of sales in Canada, the billion dollar company is making a move to establish a larger presence in the U.S. CGI has close ties with 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 schema  Use Information Management Software ETL Data Quality Metadata Management Master Data Management (MDM) In Closing Executive Summary When faced with information management issues, particularly those in a cross-functional setting, many business and IT professionals turn, albeit often unwittingly, toward Enterprise Information Management (EIM) . EIM is the effort and practice of reaching across all data and application silos embedded in the organization’s operating infrastructure; then binding those Read More...
Business Intelligence: Its Ins and Outs
In today's highly competitive business climate, the quality and timeliness of business information for an organization is not only a choice between profit and

etl schema  extract transfer load ( ETL ), reporting and query tools , data visualization , balanced scorecards , dashboards , OLTP , OLAP , data mining , alerting and notification systems , and analytics . Under the BI umbrella all these tools are combined within a special architecture. Data Warehouses and Data Mart Because data can come from various sources, like OLTP, ERP, CRM, legacy applications, and external data sources, data can be stored in a diversified database, in different formats and structures. As a Read More...

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