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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

relational olap  and large most traditional relational databases can be organized for one or the other purpose. It is quite difficult (and perhaps even pointless) to unify OLAP and OLTP worlds via currently available technologies, as each has its own specific requirements. Facebook reportedly uses multiple databases for different purposes: a relational database for user logging and data storing, a NoSQL (Not only SQL) database for unstructured data handling and indexing (e.g., in the e-mail inbox), an OLAP data warehouse 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

relational olap  The technology replaces both relational joins (which means reporting), as well as the building of dimensional hierarchies—for online analytical processing (OLAP). It seems impressive and merits further reading. •    The company does claim to support the “no data warehouse” model. Data from a number of sources can—in theory—be loaded into memory. Of course, memory requirements are proportional to the size of the data. •    Does the company support data quality and data cleansing? It Read More...
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Documents related to » relational olap


In-Memory Analytics: A Multi-Dimensional Study
The primary bottleneck to high-performance multidimensional analysis has been slow hard drive speed—the time it takes for data to be transferred from disk

relational olap  experience is enhanced. 2.  Relational OLAP ( ROLAP) : Traditional ROLAP involves storing dimension, fact and aggregate data in relational databases. A ROLAP database is designed to serve the needs of multidimensional analysis. In-memory ROLAP implementations actually combine the power of in-memory MOLAP and ROLAP. Not all data is loaded into memory. Rather, datasets are cached based on frequency of usage. Data not available in memory is retrieved from relational stores and may be cached by the Read More...
Oracle Business Intelligence 11g Finally Unveiled
Today in London (UK), Oracle announced the new 11g release of its Business Intelligence solution suite. There’s much interest in seeing how Oracle will be

relational olap  of OLAP, MOLAP, and relational reporting in a common technology foundation. •    A thin-client report design editor. •    A feature called Action Framework to enable users to relate information and action within a process. •    The addition of the Oracle Hyperion Financial Management as a supported data source. Other important enhancement is the integration with Oracle Secure Enterprise Search, which will enable casual users to find relevant reports with ease. These are just some of the Read More...
An Introduction to QlikView 6
QlikTech develops and provides a complete suite of powerful business intelligence and data analysis software called QlikView (pronounced click-view). QlikView’s

relational olap  technology to build a non-relational, highly space-efficient associative database residing in RAM. This results in interactive, easy-to-use business analytics applications that are considerably more flexible and faster to deploy compared with traditional business intelligence and OLAP solutions. The purpose of this paper is to provide an introduction to the QlikView user interface and descriptions of the various features that set QlikView apart from other database interfaces. Read More...
The User's Undying Quest for Exploring and Discovering Info - Part 1
SAP AG and Endeca Technologies might not appear to have much in common at first glance, other than occasional partnering in some joint opportunities, and

relational olap  of traditional rigid overarching  relational schemas  that are too limited to handle diverse (structured and unstructured) and ever-changing data. On the other hand,  OLAP (online analytical processing) cubes  might be able to overcome relational databases’ inability to provide near instantaneous analysis and display of large amounts of data, but they are still not able to accommodate ever growing number of new (perhaps esoteric)  data attributes  or  dimensions  (e.g., “find all basketball Read More...
Business Intelligence Status Report
Spurred by government mandates for more business transparency, business intelligence has emerged to extract information from ERP systems. How has BI emerged

relational olap  the DBMS. In a relational database, the schema, for example, defines the tables, the fields in each table, and the relationships between fields and tables. Schemas are generally stored in a data dictionary , which is a file in a DBMS that defines the basic organization of a database. It contains a list of all files in the database, the number of records in each file, and the names and types of each field. Data dictionaries do not contain any actual data from the database, only bookkeeping information for Read More...
Business Intelligence: A Guide for Midsize Companies
Business intelligence (BI) is not a new concept. What’s new is that BI tools are now accessible for midsize companies. Managers can use BI to analyze complex

relational olap  Intelligence: A Guide for Midsize Companies Business Intelligence: A Guide for Midsize Companies 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 Exchange and NYSE under the symbol SAP. Read More...
The Top Five Challenges with SQL Server Reporting and BI
Users of SQL Server value its power, speed, and affordability. But research shows that these users often face significant challenges in producing the business

relational olap  Top Five Challenges with SQL Server Reporting and BI Birst is a comprehensive Business Intelligence (BI) suite - this means that all of the required components for advanced business intelligence are included and fully integrated, so deployment is quick and easy, without compromising on functionality. Source: Birst Resources Related to The Top Five Challenges with SQL Server Reporting and BI : Business Intelligence (BI) (Wikipedia) Structured Query Language (SQL) (Wikipedia) The Top Five Challenges Read More...
Microstrategy Moves Up with e-Business
On October 4, MicroStrategy announced the release of MicroStrategy 6, the latest in their line of Intelligent E-Business software products. On October 5

relational olap  Moves Up with e-Business Event Summary M2 PRESSWIRE-5 October 1999-ORLANDO, Florida -- NCR Corporation (NYSE: NCR) and MicroStrategy Incorporated (NASDAQ: MSTR) today announced that the two companies have signed a comprehensive, multi-year $52.5 million licensing and technology agreement. The agreement includes an investment by both companies in technology infrastructure, integration, and marketing - spanning e-business, business intelligence, and customer-centric data warehouse applications Read More...
IBM Announces the Release of DB2 Universal Database Version 7
IBM (NYSE: IBM) has announced the release of DB2 Universal Database Version 7, with a new pricing structure for application service providers (ASPs), support

relational olap  and availability of a relational database. Market Impact New features in the product are designed to fully integrate e-business, business intelligence, and content management. Version 7 includes an integrated, in-memory database that should increase response time for web searches. Microsoft removed their in-line database plans for the latest release of SQL Server due to product release date pressures, which should give IBM a competitive advantage. The product also includes more tightly integrated XML Read More...
Can Software Help Employees Enjoy their Workday (more)? - Part 2


relational olap  heritage. What’s Wrong with Relational Databases, SQL, and 4GL? Why has Workday decided to go the  object-oriented database  (which are much less popular commercially) and metadata route? Basically, object-oriented databases get rid of constraints that on-disk (hence slow),  fourth-generation programming language (4GL)  and  structured query language (SQL) -based relational databases impose; constraints that show up in any and all application systems written between 1990 and 2002 (or so). At the 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

relational olap  On-Line Analytical Processing (OLAP), Relational OLAP (ROLAP), Multi-Dimensional OLAP (MOLAP), Hybrid OLAP (HOLAP, a combination of MOLAP and ROLAP), and more. BI can be broken down into four broad fields: Multi-dimensional Analysis Tools: Tools that allow the user to look at the data from a number of different angles . These tools often use a multi-dimensional database referred to as a cube . Query tools: Tools that allow the user to issue SQL (Structured Query Language) queries against the warehouse Read More...
Tableau
Tableau Software, a privately held company in Seattle, Washington (US), builds software that delivers fast analytics and rapid-fire business intelligence to

relational olap  interacting with the same relational databases that are the backbone of the global database and business intelligence markets. Read More...

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