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 etl olap


Halo Source: High performance data warehouse, ETL and OLAP Cube


etl olap  High performance data warehouse, ETL and OLAP Cube

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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.

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Documents related to » etl olap

Datawarehouse Vendors Moving Towards Application Suites


During September, two more data warehousing vendors announced product suites that they claim offer broader integration between different data warehousing technologies. BI vendor Cognos announced "Cognos platform", a tool to build complete "BI-ready data infrastructures". Data Movement vendor Ardent Software announced "DataStage XE", which is designed to "simplify integration of multiple data sources and business intelligence tools".

etl olap  product . DecisionStream is an ETL tool capable of populating OLAP hypercubes, such as the one used by Cognos PowerPlay. Metadata management capabilities to provide centralized metadata and business rules. All applications in the suite share a common meta model. Business intelligence tools in the form of Cognos PowerPlay and Impromptu. These products have made Cognos one of the top three business intelligence vendors. Additional services such as data mart modeling and common security functions. Ardent 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 olap  extract, transform, and load (ETL); database design and management; online analytical processing (OLAP) services; reporting; analysis; and dashboards. 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 describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

etl olap  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 the difficulty of identifying which records in the source have changed 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 attempting to move into the EAI space. Whether the product can actually accomplish EAI remains to be seen.

etl olap  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

Lawson Enforces Its Stronghold Part1: Recent Announcements


Lawson Software, has gone past a successful IPO, and continues with new wins and with rounding up of its focused offering, while also belonging to the elite of enterprise applications vendors that have seen license revenue growth and profit in recent optimism-scant times.

etl olap  Enforces Its Stronghold Part1: Recent Announcements Event Summary On April 17, Lawson Software , Inc. (NASDAQ: LWSN), a provider of Web-based business applications for selected service industries, announced the acquisition of Keyola , a Florida-based company with an innovative business intelligence (BI) technology. The acquisition of the privately held company is effective immediately, and terms of the deal were not disclosed. Keyola's collaborative business intelligence technology is seen to 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 environment. This article looks at issues in data quality and how they can be addressed.

etl olap  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

Analyse This


Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right people. Now that sales and marketing professionals are empowered with the right tools to better serve their customers and gather insights on all customers' interactions, the question to ask is what's next? We see the answer in a tight integration between Enterprise applications and Analytics.

etl olap  data and make predictions. ETL tools: Short for extract, transform, load; three database functions that are combined into one tool to pull data out of one database and place it into another database. Extract — the process of reading data from a database. Transform — the process of converting the extracted data from its previous form into the form it needs to be in so that it can be placed into another database. Transformation occurs by using rules or lookup tables or by combining the data with other Read More

Spatialytics Suite


Spatialytics Suite is a full geospation business intelligence (geoBI) solution including a spatial extract, transform, and load (ETL) for data integration, a spatial online analytical processing (OLAP) server handling the data cubes, and a geoBI server to access the data and feed the client-side map component and applications, mainly interactive GeoDashboards and GeoReports, on demand.  

etl olap  extract, transform, and load (ETL) for data integration, a spatial online analytical processing (OLAP) server handling the data cubes, and a geoBI server to access the data and feed the client-side map component and applications, mainly interactive GeoDashboards and GeoReports, on demand. Read More

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 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?

etl olap  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

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 performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

etl olap  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

J.D. Edwards Teams with FRx Software to Improve Reporting Solutions


J.D. Edwards recently announced support for financial reporting solutions from FRx Software. This software makes it possible to consolidate information from multiple databases, platforms, and servers to provide a complete financial picture.

etl olap  D. Edwards Teams with FRx Software to Improve Reporting Solutions Event Summary DENVER, Dec. 14, 1999 - J.D. Edwards & Company (NASDAQ: JDEC), the leading supplier of agile software solutions for E-Business announced today its support for FRx Software Corporation's new initiatives designed to broaden its position as a premier supplier of financial reporting software. J.D. Edwards' enterprise business software coupled with FRx's financial reporting solutions enable corporate finance professionals to more 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. Microsoft offers a complete solution with its SQL Server platform, OLAP, reporting analysis, and scorecarding capabilities.

etl olap  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

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 technology selection and access to historical 'legacy' data are also discussed.

etl olap  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