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 db2 data warehouse


The Evolution of a Real-time Data Warehouse
Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine

db2 data warehouse  populate data warehouses under DB2 for z/OS operating systems. Microsoft SQL Server 2008 provides a scalable data warehouse solution for BI. This product's features include data compression, partitioned tables, parallelism capabilities, and change data capture. The scalable integration services tools enable fast ETL operations and connectivity to non-SQL server data sources. Netezza Netezza Data Warehouse Appliances is a combination of software and hardware tools designed for analytical processing of

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Warehouse Management Systems (WMS)

A warehouse management system (WMS) should provide database and user-level tools in order for a company to optimize its storage facilities while at the same time providing user level task direction and activity support. The WMS should enable warehouse operators to optimize pick, put-away, and replenishment functions by employing powerful system logic to select the best locations and sequences. 

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Documents related to » db2 data warehouse

Comparing Business Intelligence and Data Integration Best-of-breed Vendors' Extract Transform and Load Solutions


There are two types of extract transform and load (ETL) vendors. Business intelligence (BI) vendors integrate ETL functionality into their overall BI framework, while best-of-breed data integration vendors, who provide enhanced ETL functionality, have an increased focus on data cleansing and integrity.

db2 data warehouse  single, open repository on DB2 , Oracle , or SQL server platforms; validates business requirements to identify whether they are achievable or not; and ensures disparate data sources support target requirements Trillium , a Harte-Hanks company, also provides users with a software solution suite that allows them to implement a total data quality solution. The suite, composed of Trillium Software Discovery and Trillium Software System , enables users to identify incorrect data formats, duplicates, Read More

The Market Rewards Ardent Software Initiatives


Over the last year, Ardent Software (NASDAQ: ARDT) has announced a number of initiatives to strengthen their DataStage data warehousing product, most recently a partnership with NEON Systems (NASDAQ: NESY), a provider of OS/390-MVS mainframe access through their NEON Shadow Direct middleware. On October 18, Ardent reported record financial results for their third quarter ended September 30, 1999. Pro forma earnings were reported to have increased 64%. Total revenues for the third quarter increased 53% to $45.3 million from $29.7 million in the same quarter of 1998.

db2 data warehouse  allows the invocation of DB2 stored procedures. These legacy access improvements, coupled with the addition of the ability to extract data from enterprise resource planning packages, has made DataStage an attractive choice. User Recommendations Ardent DataStage should be included on any company's list of candidates for a data extraction tool, especially when source data is located on IBM mainframes. Customers should question whether Ardent is modifying their software to optimize NEON access to DB2, or Read More

IBM and Deutsche Telecom Announce Plans for 100 Terabyte Data Warehouse


According to an announcement by International Business Machines on Thursday December 16, 1999, IBM is working with German telecommunications services company Deutsche Telekom to assemble the largest data warehouse in the world. When complete, the warehouse will contain up to 100 terabytes of customer and call records, to be used for Customer Relationship Management (CRM) applications.

db2 data warehouse  processing servers and IBM's DB2 Universal Database. The customer expects to have 25 terabytes of data loaded by the third quarter of 2000. Market Impact As a point of reference, 100 terabytes is 109,951,162,777,600 bytes of data. Very few data warehouses have extended into the multi-terabyte range. The cost of the hardware associated with an effort of this scale is enormous. In addition, the largest cost of a warehouse is the manpower and processing required to actually load the transactional data into Read More

Computer Associates Splashes Into the Data Warehousing Market with Platinum Technology Acquisition


Computer Associates DecisionBase is an Extract/Transform/Load tool designed to help in the population and maintenance of data warehouses. First released in March of 1998, the product is geared towards large implementations with the need for metadata management. The current release is 1.9, which is the fourth release of the product.

db2 data warehouse  embedded technology to access non-DB2 data residing on IBM MVS mainframes, as well as other systems, often without the need to convert the data into a flat file . Ardent's acquisition of Prism should give them a leg up on CA in this area. InfoPump upgrade path. There is no way to migrate existing InfoPump code into the repository. This means that existing InfoPump customers can not upgrade to DecisionBase unless they are willing to re-write all of the work they have already done. Vendor Recommendations Read More

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

db2 data warehouse  Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses Read More

Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

db2 data warehouse  from the Ground Up: Launching Your Data Governance Initiative Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys. BEGINLY Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

db2 data warehouse  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More

Data Migration Best Practices


Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration.

db2 data warehouse  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More

Warehouse Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs


To ensure your warehouse management system is implemented as painlessly as possible, you must assess your warehouse situation before you decide on a warehouse solution. Using the Pareto Principle, where a minority of inputs yields the majority results; examining your processes; evaluating your personnel; monitoring the progress of implementation; and testing are the best ways to ensure both a successful launch and long term return on investment.

db2 data warehouse  Management Systems: Pie in the Sky or Floating Bakery?Part Two: The Pareto Principle, Processes, and People: Assessing Your Warehouse Management System Needs Introduction After understanding the myths behind the claims of huge staff reductions , quick and easy implementation , and the fast and big return on investment, you need to know what type of features and functionality you should look for in a warehouse management system. The bells and whistles of a system might look enticing, but Read More

Warehouse Advantage


pdg group model 1270

db2 data warehouse   Read More

Meet PCI DSS Compliance Requirements for Test Data with Data Masking


Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more.

db2 data warehouse  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More

Scalable Data Quality: A Seven-step Plan for Any Size Organization


Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

db2 data warehouse  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

db2 data warehouse  a Universal Approach to Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Frankfurt Stock Read More