Home
 > search far

Featured Documents related to »  dw


Real-time In-memory Technologies Do Not Make Data Warehousing Obsolete
The benefits of well thought-out architecture for designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW

dw  designing and implementing large-scale DW environments are well-documented. Perhaps the best known of the DW architectures is the Corporate Information Factory. Since the creation of this architecture, there have been many technological advances, making its implementation faster, more scalable, and better performing. The data warehouse is no longer “off limits” to the business community; self-service BI, more sophisticated types of analytics, and true experimental (data science) analyses can now be 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

dw  Access Rather Than a DW for Mid-Market? For a long time, data warehousing used to be synonymous with business intelligence (BI), to the extent that there is a deep ingrained belief that BI cannot be conducted without a data warehouse (DW). Indeed, when companies are dealing with a deluge of data, it helps to have a DW, since it offers large corporations the ability to leverage information assets to support enterprise reporting and analysis. DWs also provide a technical solution to the problem of multiple Read More...
Discrete Enterprise Resource Planning (Discrete ERP) RFI / RFP Template
Financials, Human Resources, Manufacturing Management, Inventory Management, Purchasing Management, Quality Management, Sales Management, Product Technology
Get this RFP template now
Country:

 Security code
Already have a TEC account? Sign in here.
 
Don't have a TEC account? Register here.

Documents related to » dw


Amazon Debuts Redshift, a Petabyte-scale Data Warehouse in the Cloud
Amazon is pulling out all the stops in its bid to get ahead in the highly competitive data warehouse market by announcing the limited preview of Amazon Redshift

dw  Storage Extra Large (XL) DW Node: CPU: 2 virtual cores ECU: 4.4 Memory: 15 GiB Storage: 3 HDD with 2 TB of local attached storage Network: Moderate Disk I/O: Moderate API: dw.hs1.xlarge Price per node:  $0.85 per hour (On-demand pricing) High Storage Eight Extra Large (8XL) DW Node: CPU: 16 virtual cores ECU: 35 Memory: 120 GiB Storage: 24 HDD with 16 TB of local attached storage Network: 10 Gigabit Ethernet with support for cluster placement groups Disk I/O: Very High API: dw.hs1.8xlarge Price per Read More...
In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence
Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives

dw  against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization. Read More...
Ask the Experts Question: Do Organizations Really Need a Physical Data Warehouse Structure?
We recently had a question from one of our readers (through our Ask the Experts page) discussing QlikView’s approach to data collection.Reader’s Question

dw  points, organizations have forced DW and BI solutions to deliver the results of enormous amounts of data queries in a short period of time. With the increasingly use of 64-bit processors and hardware with new scalable and massive parallel processing (MPP) capabilities, it is now possible to store bigger amounts of data in memory  and take advantage of their process speed. In traditional data warehouses, the query goes to the database, grabs the information directly from a hard disk, and loads the Read More...
Competitive Challenges for Vanguard
Vanguard's challenge is to continue to be nimble and responsive to the needs of its target market and original equipment manufacturer (OEM) partners.

dw  practical limitations of the DW model, and determined that technology had improved to the point where a completely new approach could be developed. The Direct Access solution was thus introduced to meet the real-world needs of these customers, and it has since been successfully implemented by many (one third or so of current) customers ranging from small manufacturers to multi-billion dollar global corporations. Additionally, many Vanguard customers with DWs in place are reportedly currently phasing them Read More...
Attaining Real Time, On-demand Information Data: Contemporary Business Intelligence Tools
Demand for instant access to dispersed information is being met by vendors offering enterprise business intelligence tools and suites. Portlet standardization

dw  time BI uses the DW model of traditional BI systems. In this case, products from innovative BI platform providers like Ascential or Informatica provide a service-oriented, near real time solution that populates and the DW much faster than the typical nightly extract/transfer/load (ETL) batch update does. The second, commonly called business activity monitoring (BAM) is adopted by pure play BAM and or hybrid BAM-middleware providers such as Savvion , Iteration Software , Vitria , webMethods , Quantive , Read More...
Contemporary Business Intelligence Tools
Tools under the business intelligence (BI) umbrella combine to convert data into information, and information into decisions for action. Dashboards and

dw  databases and data warehouses (DW), legacy systems, enterprise resource planning (ERP), supply chain management (SCM), customer resource management (CRM) and other related enterprise applications. Naturally, the market has gone through a number of evolutionary steps on a journey that began with pesky green bar reports printed from mainframe computers in the 1960s and 1970s. These reports were infamously poor at pinpointing critical information. Moreover, they often arrived on managers' desks a week or Read More...
Business Intelligence Corporate Performance Management Market Landscape
The arms race to marshal the most complete corporate performance management platform has intensified among major vendors. Many have a comprehensive set of

dw  packaged standalone data warehouse (DW), as was initially marketed after its launch in 1998. Building on the successes of SAP NetWeaver BI, and the Strategic Enterprise Management (SEM) suite, SAP, during its European SAPPHIRE '05 user conference, unveiled more than 100 industry-specific analytic applications built on the SAP NetWeaver platform. These applications should empower users with new ways to drive core processes and business decisions based on actionable business insight. Accordingly, SAP 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

dw  we define in our DW Reference Architecture and see in many data warehouse environments. Although your environment may not have such clearly defined layers you should have some aspects of each layer in your database to ensure it will continue to scale as it increases in size and complexity. Staging layer The staging layer enables the speedy extraction, transformation and loading (ETL) of data from your operational systems into the data warehouse without distributing any of the business users. It is in Read More...

Recent Searches
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Others