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Software Functionality Revealed in Detail
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 relational olap


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

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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.

Compare Now

Documents related to » relational olap

AccTrak21


AccTrak21 provides business management software to the global Small to Medium Business sector. The Base System, consisting of General Ledger, Accounts Receivable, Accounts Payable, Cash Management, System Manager, Online Wizard, and Sybase ASA Relational Database Management System (RDBMS), serves as the foundation for the AccTrak21 application, enabling users to enter their daily transactions. Distribution System enables users to track their sales and purchase activities, as well as the movement of items in and out of warehouses. AccTrak21 software contains a fully integrated business intelligence feature, which uses OLAP tools, enabling users to undertake analysis of business performance.

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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 storage to random access memory (RAM). With crashing RAM prices and 64-bit addressing, in-memory architecture provides new and innovative solutions for online analytical processing (OLAP). This article looks at why and how in-memory technology transforms analytic applications for BI.

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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 directing specific efforts to competing in the business intelligence space with this new version. This question will soon be answered upon investigating their new BI tool’s functionality, features, and improvements. Part of this

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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 powerful business intelligence and analytics engine is utilizing patented AQL 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.

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Knosys "in the Kno" With ProClarity 3.0 Analytical Platform


Knosys, Inc. announced on November 6, 2000 that version 3.0 of its ProClarity® Analytical Platform and OLAP client are now available. The products were developed for Microsoft SQL Server 2000 Analysis Services, so ProClarity is completely tied to Microsoft software. In addition, Knosys has announced a partnership to collaborate with integrated enterprise and eBusiness applications vendor Epicor on development of a portal-based business intelligence solution. Epicor focuses exclusively on the mid-market.

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Real-time Performance: SAP Business Suite Running on SAP Sybase Adaptive Server Enterprise


A database platform built with real-time requirements in mind can help your company improve overall data management capabilities and achieve efficiencies in application cost, responsiveness, and reliability while setting the stage for future growth. This paper presents a compelling case for choosing an optimized relational database management system (RDBMS) for your transactional applications, and discusses how to quickly migrate to a new database with minimal disruption and cost.

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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.  

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TDWI Checklist Report: Analytic Databases for Big Data


Many organizations in today's “big data” world are contemplating a replacement of their analytic databases and data warehouses to keep pace with new requirements for advanced analytics, and they are turning more and more to specialized analytic database management systems (DBMSs). Within the DBMS arena, there’s a slow trend away from practicing analytics with relational DBMSs that were originally designed for OLTP and towards analytic databases that provide computing architectures designed for complex queries, analytic algorithms, high performance, and terabyte-size scalability. This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data, and defines the many techniques and tool types involved.

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Open Source Business Intelligence: The Quiet Evolution


As organizations face a pressing need to rationalize the cost of enterprise software, open source business intelligence (BI) is fast becoming a viable alternative. Learn about the current state of open source BI, with particular focus on one vendor's products.

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Database Development


Expectations of the business community from the database development domain are high, but slightly unsettled. The customer community worldwide needs to understand that while there are common threads among relational databases, they also nurture important differences. Find out what they are.

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