X
Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
Get free sample report

Compare Software Solutions
Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
Compare Now
 

 etl meaning


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 meaning  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


Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

Documents related to » etl meaning

SAP HANA-One Technology to Watch in 2012 (and Beyond)


Did you know that SAP HANA is much more than a high-speed analytic appliance? TEC principal analyst P.J. Jakovljevic reveals how HANA is a universal database that will enable companies to analyze large volumes of operational and transactional information in real time, from virtually any data source, and that will eventually deliver an entirely new class of applications that will change the way people think, work, plan, and operate.

etl meaning  extract, transform, and load (ETL). Data copies are materialized , i.e., the data is saved to physical tables in its transformed state. OLAP cubes come along with a set of efficient transformations that simplify analytics. In contrast to a physical table, an Analytic View is not “flat.” Data must be “flattened out” during extraction by aggregating along the dimensions of the data cube. In terms of structured query language (SQL), “flattening out” means reading with a GROUP BY clause and Read More

Operational Business Intelligence and Performance Management: Key Differentiators


The distinction between business performance management and operational business intelligence is sometimes unclear. Many vendor offerings overlap in terms of features and functionality, making it difficult to distinguish between the two. However, there are some differences worth exploring.

etl meaning  on the use of ETL and EII to provide the right data at the right time, but they may use other database structures in conjunction with their product offerings, or they may have their products sit on top of a more general BI platform or database structure. Conclusion OBI and BPM are natural extensions of BI. As BI tools have matured, organizations' needs have also evolved. Many BPM vendors offer solutions tailored to departments' specific needs, whereas OBI focuses its efforts on identifying and managing Read More

Oracle Further Orchestrates Its SOA Forays Part Three: Strategy Shifts


Oracle has long moved in the direction of blurring the line between applications and infrastructure. It has leveraged the system of record elements in application suites by applying infrastructure technologies to correlate real-time events for improved decision-making.

etl meaning  data mining tool, Carleton ETL tool, (see Oracle Buys Carleton Corporation to Enhance Warehouse Offering , etc.), continued in the 2000s. This time to add point products that bring specific functionality to Oracle's existing infrastructure portfolio. TopLink , acquired from WebGain in 2002, added an object-relational mapping layer to the Oracle Application Server, whereas Indicast became the voice services component of the application server. Then, in 2001, 3Cube 's on-line collaboration software became Read More

Tracing Food Quality and Safety, or We Are What We Eat, After All (Part II)


Part I of this blog post introduced the burning issues of food safety and the ensuing need for traceability. To the end of providing entire food supply chain traceability and information visibility, mid-March, during its CUE 2008 annual user conference, Lawson Software announced the availability of Lawson M3 Trace Engine 3.0, the first version offered within the US market. The application is

etl meaning  extract, transform & lead (ETL) layer cleanses and prepares data for the Data Queue . By using Trace Configurator to set a number of pertinent rules, validations, exception alerts, etc., Trace Data and Quality Assurance (QA) Data can then be presented in the Trace Explorer . The solution has been developed to ensure that all transactions entering the engine are valid both in terms of data content and trace line content. When creating and configuring a transaction type in the software, basic data layout Read More

Ardent Software Enters the SAP Data Extraction Market


Ardent Software has announced the addition of SAP extraction and load capabilities to their DataStage product, increasing their strength in the Extract/Transform/Load tool market. Due to the prevalence of SAP in the Enterprise Resource Planning space, this addition will provide a competitive advantage over some of the other major ETL vendors such as Sagent and Computer Associates.

etl meaning  very few of the ETL ( Extract/Transform/Load ) tool vendors have produced modules that allow extraction from SAP. The vendors have had difficulty due to the specialized knowledge of SAP required to produce the custom code which could understand SAP's internal data formats. Ardent's entry into this market will give it leverage with any corporation that uses SAP's Enterprise Resource Planning system. The ability to integrate ERP systems with data warehouses and provide true enterprise-wide information is Read More

Innovations in Business Intelligence


Business intelligence (BI) is in the midst of a new wave of innovations. Ideas in the search space, software as a service, and real-time analytics are extending the reach of BI across the complete size spectrum of organizations. This article looks at these technologies and their impact on businesses.

etl meaning  take place in an ETL process. Online analytical processing (OLAP) provides high-performance access to data in the data warehouse through the creation of cubes , which are data structures that aggregate data across multiple dimensions and provide the business user with an analytical environment. Reporting and querying environments provide access to canned or ad hoc enquiries into historical data in the data warehouse/marts. These technologies have grown over several years, and although BI is now a mature Read More

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 "e-Business infrastructure". In conjunction with their contract to build an enterprise data warehouse for the United States Postal Service and their MX2 metadata exchange initiative, Informatica is reinventing itself.

etl meaning  they were strictly an ETL (Extract/Transform/Load) vendor who competed with Platinum Technology, Prism Solutions, Carleton, and Evolutionary Technologies (ETI). With his background at Unisys and Sterling Software, Dhillon understood that applications were being moved from mainframes to the then-new client/server technologies. Many companies were struggling to move the required data between the two environments. Informatica was formed to solve this problem. The first product to be introduced to market was Read More

Business Intelligence and Database Management Services


Lister's BI team helps organizations to structure their data and extract actionable information from it. The team is comprised of experts who perform end-to-end deployment of BI solutions over the intranet, the extranet, or the World Wide Web. The BI team has over ten years of experience with various database systems such as Oracle, SQL Server, and DB2, to name a few. Backed by several years of reporting experience, the team has built up expertise in industry tools like Business Objects, Oracle Business Intelligence, Crystal Reports, and SQL Server Reporting Services. It has also worked with open-source BI solutions like JasperReports, and aims to fulfill the exacting requirements of any organization that approaches it with a BI project. Lister offers end-to-end BI solutions that can bring a good return on investment (ROI). Among the BI services Lister offers are remote database administration (DBA); data quality services; extract, transform, and load (ETL); database design and management; online analytical processing (OLAP) services; reporting; analysis; and dashboards.  

etl meaning  extract, transform, and load (ETL); database design and management; online analytical processing (OLAP) services; reporting; analysis; and dashboards. Read More

Kronos Simplifies Workforce Big Data with Self-service Visualization


One of the major announcements at the KronosWorks 2013 conference was about the transformative change coming to Kronos Workforce Analytics at the end of 2013. By leveraging Microstrategy Visual Insight, Kronos intends to put the power of workforce data analytics into the hands of the managers who can immediately act on it by leveraging data visualization and exploration tools. The introduction

etl meaning  Simplifies Workforce Big Data with Self-service Visualization One of the major announcements at the KronosWorks 2013 conference was about the  transformative change coming to Kronos Workforce Analytics at the end of 2013. By leveraging Microstrategy Visual Insight , Kronos intends to put the power of workforce data analytics into the hands of the managers who can immediately act on it by leveraging data visualization and exploration tools. The introduction of data visualization and exploration 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. Workday plans to deliver big data capabilities (with no hardware required) to map and process external data sources and streams. One of Workday's design principles was to provide embedded contextual (relationship-aware) and fast in

etl meaning  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

BLM: Buzzword Life Cycle Management


The management of buzzwords represents a significant area of improvement for both the buzzword users (BU) and the buzzword consumers (BC). Buzzword life cycle management (BLM) is a proven discipline being applied within the software industry.

etl meaning  Buzzword Life Cycle Management Executive Summary The IT industry is alive with buzzwords. The management of buzzwords represents a significant area of improvement for both the buzzword users (BU, for example vendors, analyst and consultants) and buzzword consumers (BC, mostly end users). Buzzword life cycle management (BLM) is a proven discipline being applied to this crying need within the software industry. What is a Buzzword? A buzzword is a word or phrase that enters the collective mind of the 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 teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

etl meaning  load of an ongoing ETL process and there should be reuse of many components. Conduct a gap analysis. The features that the business expects from the target system may not have a data source at all, and the migration team may be the designated messenger to carry this bad news. For example, in an MDM customer data project, one region out of five has never captured customer contact history and, when consolidating the customer data, a subset will not have a full history. The business requirement to 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 are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

etl meaning  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

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 possibility—unless the business intelligence (BI) product developer understands the potential problem and addresses it as a business-critical factor.

etl meaning  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