Untitled Document

Evaltech

Sign in to have full access to our White Papers

Current Member Sign In New Member Register (0)Items
 
 

Topic

Description

Cloud Based BI Architecture While the cloud technology affords some relief from the cost of providing data access to large numbers of users, data analysis and access products must embrace both client/server and intranet models.
Data Integration Architecture Components of Data Integration
Data Warehouse Architecture (Do's & Dont's) A data Warehouse is an architecturalconstruct of an information system that provides users with current and historicaldecision support information that is hard toaccess or present in traditional opera
Data Warehouse Framework 2.0 The data warehouse framework consists of five functional components,each of which is responsible for a specific set of processes essential to the decision-support environment:Source, Load, Storage, Qu
Multi-tier Data Warehouse Architecture This session proposes a practical approach for implementing a multi-tier Data warehousein a large international firm.
Top 10 Questions to ask BI Vendor This article will get you started with the most frequently asked questions to the Vendors.
Tips for BI Success Failure rates for Business Intelligence projects still exceed 60%…… The suggestions in this article could help you minimize failure possibilities.
Selection Criteria for Query Tools The new high-end query tool should have these capabilities:Cross-browsing, Aggregate navigation, Multipass SQL...
Evaluating Decision Support Systems This paper focuses on the process of evaluating proposed Decision Support Systems projects, especially Web-Based projects; Developing Theory, Expanding the Framework; evaluation tools; DSS Project Eva
Introduction to Business Objects This white paper describes the basic introduction to the business objects.
Report on Cognos Platform for BI This article contains the information about the cognos platform for enterprise buinsess intelligence.
Turning Oracle Financial data to BI This white paper includes the Oracle Finance Analyzer products,its key features.
A Meta Data Model This article gives the details about the Meta data, Meta data categories, Architectures for Metadata Management and Enterprise Information Portals.
Conceptual Modeling for ETL Processes Due to the complexity and the long learning curve of ETL tools, many organizations prefer to turn to in-house development to perform ETL and data cleaning tasks.
Dimension Modeling Describe the various ways you look at the data.
A DataWarehouse Conceptual Data Model This paper presents a proposal for a Data Warehouse Conceptual Data (CDWDM) Model which allows for the description of both the relevant aggregated entities of the domain.
A Data Warehouse Modeling Technique This article provides a summary of criteria we've used in the past to evaluate data migration products.
Modeling of Data Warehouse This article includes the types of modeling used in data warehouse
Modeling Multi-Dimensional Data Warehouse The Purpose of Multidimensional modeling is to provide the business analyst with a tool to get quick answers from an attribute in a dataset.
Reverse engineering using Oracle Designer This article includes introduction to development process in reverse engineering.
3NF to Star Schema This paper examines the translation of entity-relationship diagrams into star schema.
Uniform Model for Meta data management This article explains the use of Uniform Modeling Language (UML) to integrate technical and semantic metadata and their interdependencies.
Data Mining for Profits Leveraging data mining for profit requires senior management commitment.
Data Mining Methods This paper shows that boosting applied to naive Bayesian classiers yields combination classiers that are representationally equivalent to standard feedforward multilayer perceptrons.
Evaluating Data Mining Tools A Framework for understanding elements od Data Mining.
Fundamentals of Data Mining This paper presents the basic concepts of Data Mining.
Magical Thinking in Data Mining This paper explains some general guidelines and principles that are fundamental to practical success in data mining,
Data warehouse Advance Tuning These practices are put in place for tuning the: Tuning Queries, data load, Operating System, Database Physical Structures, and Network Traffic.
ETL provides the keys to keeping data relevant The goal of virtually every ETL application is to make data available to its audience in a timely fashion.
Active changes notification This article includes following topics. Introduction to view maintenance tool, Basic procedure for view maintenance, Change notification for client view, What is API support for change notification?
Barriers to Data Quality-Part 1 This paper gives the information about the types of approaches that can be used for developing our operational systems, types of different models depending on each modeler's bias.
Barriers to Data Quality-Part 2 This article consist about the business management problems. This is one of the barriers to data quality.
Advantages by using Oracle Web Server This white paper describes the business benefits by using Oracle Web ServerProducts and why there is a need of Oracle Web Server?
Bulk loading the large datasets This white paper describes the techniques for initial and incremental loading.
Comparison between Sql server 2000 and Sybase ASE 12.5 This article contain the comparison of SQL Server 2000 with Sybase Adaptive Server Enterprise 12.5.The comparisons is done depending on price, performance, platforms supported, SQL dialects, and produ
Datawarehousing Technology. Data Warehousing is not a new phenomenon. All large organizations already have data warehouses, but they are just not managing them. Over the next few years,the growth of data warehousing is going to
Data Quality The growth of Data Warehousing into $ billions market demonstrates the degree to which organizations have taken a pro-active role in managing their data.
Data Quality Management The difficulties associated with dealing with the mountains of data produced in businesses brought about the concept of information architecture which has spawned projects such as Operational Data Sto
Data Stewardship Framework Data stewardship has as its main objective the management of the corporation's data assets in order to improve their reusability, accessibility and quality.
Data Warehouse Application Development Standards Walkthroughs are to be an integrated part of the development process and Walkthroughs are to be milestones within the project plan.
DW Basic - Decision Support, Data Warehousing, and OLAP A decision support database that is maintained separately from the organization’s operational databases.
Data Warehouse Configuration The Data warehouse approach is to integrate of data from multiple information sources; selected information is extracted in advance and stored in a repository.
Data Warehouse Performance Management This document describes the management and technical issues involved in a Data Warehouse project.
PERFORMANCE MEASUREMENT SYSTEM This paper illustrates how a data warehouse can be used to facilitate a Corporate Performance Measurement System by the integration of business process performance information into a traditional data
Data warehousing with DB2 IBM is a leader in Business Intelligence (BI), with technology built into IBM DB2 Universal Database to help enable real-time information integration, insight and decision-making.
Ensuring Data Quality through Data Stewardship Data Stewards are primarily concerned with the quality of the data.
Evaluating Database Market This article provides a summary of criteria we've used in the past to evaluate data migration products.
IMPLEMENTING A GLOBAL MULTI-TIER DATAWAREHOUSE ARCHITECTURE This session proposes a practical approach for implementing a multi-tier Data warehouse in a large international firm.
How To Do a Data Warehouse Assessment (And Why) The results of such an assessment provide extensive information to position the initiative for success. Information about past efforts and current warehousing deployments describe the point at which t
How to Test Data warehouse The purpose of this paper is to describe general data warehouse project planning as well as specific situations encountered during the testing effort for our project.
Importance of Testing DW The purpose of this paper is to describe general data warehouse structure and background, as well as specific situations encountered during the testing effort for a data warehouse project.
Interview Questions on DW/BI. This article has the list of interview questions.
An Introduction to Data Warehousing A process of transforming data into information and making it available to users in a timely enough manner to make a difference.
Job Scheduler for data warehouse project Job scheduling solution would enable it to automate the movement of data between systems.
Review of DWQ project Data Warehouse Quality (DWQ) is a cooperative project in the ESPRIT program of the European Communities.
Multidimensional database allocation This white paper focuses on the design and evaluation of suitable data allocation methods for the fact table and bitmap indices to allow an efficient parallel processing of star queries.
The Transbase Hypercube RDBMS: Multidimensional Indexing of Relational Tables Our demonstration shows TransBase HyperCube, a commercial RDBMS, whose kernel fully integrates the UB-Tree, a multidimensional extension of the B-Tree.
Need of METRICS in Data warehouse project Metrics allows us to understand that the data warehouse created is running successfully.
Oracle 9i Warehouse Builder The Oracle9i Warehouse Builder makes easier and faster to integrate heterogeneous data sources and manage the full life cycle of data and metadata.
Performance Issues in Incremental Warehouse Maintenance In this paper, we identify several critical data representation and algorithmic choices that must be made when developing the machinery of an incrementally maintained data warehouse.
Performance Tuning and Capacity Planning for a Large Scale Oracle OLTP UNIX System This paper describes the authors' experiences of performance tuning and prediction in large Oracle OLTP systems.
A Principled Approach to Data Integration And Reconciliation in Data Warehousing In most of the data warehouse project ,we had multiple, diverse sources of data, and integrating them into a single administrative.
Processing Star Queries on Hierarchically- Clustered Fact Tables Star queries are the most prevalent kind of queries in data warehousing, OLAP and business intelligence applications.
Criteria For OLAP Tool In this article we have gone through the basic features of the query tools.
Choosing the Right OLAP Technogy Choosing the right architecture for your organization is the first step in making a
Criteria for OLAP Evaluation To carry out a quantitative comparative evaluation,the criteria need to be structured further and to be prioritized through use of a formal method for setting priorities in the context of a specific
Evaluation Criteria for OLAP This article provides a summary of criteria we've used in the past to evaluate olap tools.
OLAP and Data Warehousing A Well designed dimensional model can help us organizing large amount of data.
When to consider OLAP? Do you need an OLAP technology to analyze your data? OR the Reporting tool that can connect to the database is sufficient for a business user. Read this article to get the answers for these questions
ETL Tool FAQ This white paper includes ETL tool related some questions and answers.
Introduction to Data Integration Tools Baisc Concepts behind the main Components of a DI tools.
Criteria and Matrix used for evaluating ETL tools This article contains the features of ETL tools, criteria for selecting tools and the matrix used for evaluating ETL tools.
Evaluating Data Migration Tools This article provides a summary of criteria we've used in the past to evaluate data migration products.
Detail Benchmark report on Sagent This benchmark outlines the details of Sagent technology in ETL
ETL Approach to Clean Data Data cleaning is especially required when integrating heterogeneous data sources and should be addressed together with schemarelated data transformations.
Introduction to ETL Architechture This whitepaper includes introduction to ETL architecture, ETL overview its functionality and some list of ETL products.
Selecting an ETL Product for a Clickstream Data Warehouse This Paper provides a set of general criteria for ETL tool evaluation that apply to both click stream and non-click stream data.
Four Levels of Data Integration This article discusses the costs and benefits you can expect at each level.
High performance ETL Benchmark This White Paper talks about IBM Server iSeries Products.
Untitled Document

 

Stay Connected
 

Subscribe For Newsletter

Enter your email address to receive all news from our monthly newsletter


Don't worry you'll not be spammed
 
 
  • Events
  • Webinars

Evaltech Launches New face

Held Between

09 Jul 2013 To 31 Jul 2014

TDWI Orlando

Held Between

07 Dec 2014 To 12 Dec 2014

Launching Mobile App in 2015

Held Between

14 Feb 2015 To 28 Feb 2015

Digital Disruption: eBay - How Big Data is Transforming Digital Marketing

Held Between

18 Nov 2014 To 31 Dec 2014

Modernizing Your IT Infrastructure with Hadoop - Gartner

Held Between

18 Nov 2014 To 31 Dec 2014

TDWI Speaker: Dave Stodder, TDWI Research Director

Held Between

11 Nov 2014 To 28 Feb 2015

Reference Data Vs. Master Data

Held Between

17 Oct 2013 To 30 Nov 2013
Untitled Document
Please Fill The Form
* required fields








Thanks!

Thanks for contacting us. We will get in touch with you soon!

Close this window