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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.
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 open source data mining tools


Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

open source data mining tools  computer can, she says. Open sesame Two technology trends are helping to fuel these new uses of data: cloud computing and open-source software. Cloud computing—in which the internet is used as a platform to collect, store and process data—allows businesses to lease computing power as and when they need it, rather than having to buy expensive equipment. Amazon, Google and Microsoft are the most prominent firms to make their massive computing infrastructure available to clients. As more corporate

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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

Open Source and Linux, IT Services Software Evaluation Report

The model of IT services for Free and Open Source software (FOSS) helps identify the characteristics clients require from consultants, integrators, resellers, etc. to develop, support, migrate, and implement enterprise solutions or services that are based on, or are themselves, FOSS. In addition, it supports standard criteria important to enterprise Linux rollouts or migrations. 

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Documents related to » open source data mining tools

NoSQL for My BI Solution?


Every day business intelligence (BI) gets closer to chaos. Don’t get me wrong—I’m by no means saying that BI will one day become obsolete and that you'll need to avoid it at all costs. On the contrary, what I mean is that BI will have to go outside the box into a world where data is not nicely structured within well-defined databases and using Structured Query Language—best known as SQL

open source data mining tools  Some NoSQL solutions are open source and thus can be downloaded for free. Others, while not open source, might have competitive pricing over traditional data warehousing options. Also, because of their distributed capabilities, most NoSQL solutions can be supported by inexpensive hardware. Scalability : Most NoSQL databases offer distributed service, which means that they can be scaled up using servers in parallel. Versatility : Several types of options and types of databases are available for processing 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 information to support their decision-making processes, combining data from a variety of sources to get an integrated, 360-degree view of the company. Find out how to select the right BI software, the right vendor, and the right approach to implementing BI.

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Comparing the Total Cost of Ownership of Business Intelligence Solutions


For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant configuration and integration. In contrast, software-as-a-service (SaaS) solutions can reduce the cost of a BI deployment by providing automation and pre-integration. Compare total cost of ownership (TCO) for traditional, open source, and SaaS BI solutions.

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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 if your organization needs this type of IT solution.

open source data mining tools  structured query language [SQL], open database connectivity [ODBC], java database connection [JDBC], and interoperation with most common business intelligence (BI) and ETL tools. IBM IBM counts on InfoSphere Warehouse to deliver an entire data warehouse deployment solution, with different editions (e.g., Enterprise and Departmental), and a complete warehousing solution (InfoSphere Balanced Warehouse). Recently, IBM announced InfoSphere System Z as part of a complete IBM data warehouse solution. It Read More

CARL Source


Released in early 2008, CARL Source is a maintenance management solution with additional functionality to manage financial, technical, regulatory, quality, and property processes related to a company’s assets. Designed around a web-native architecture, CARL Source supports Web 2.0 standards, Java, XML, Web Services, service-oriented architecture (SOA), and more. The Carl Source interface was designed to be user-friendly, while remaining fully compliant with web standards. Carl Source is customizable and extendable. It can operate with leading solutions, such as BEA, Microsoft, and Oracle, and can be configured to work with other information services (IS) applications via its integrated Web Services. CARL Source can be deployed without installing any programs on client workstations. CARL Source is available in a number of versions and configurations, designed for companies of all sizes, in a variety of industries.      

open source data mining tools  Source Released in early 2008, CARL Source is a maintenance management solution with additional functionality to manage financial, technical, regulatory, quality, and property processes related to a company’s assets. Designed around a web-native architecture, CARL Source supports Web 2.0 standards, Java, XML, Web Services, service-oriented architecture (SOA), and more. The Carl Source interface was designed to be user-friendly, while remaining fully compliant with web standards. Carl Source is custom Read More

Enabling Real-Time Big Data Movement in the Constantly Connected World


Many forces in today's world of big data are driving applications to become more real-time. Data needs to go many places, be sorted and stored in different formats, and used in a wide variety of ways. Capturing high volume data streams inside and outside datacenters can be complicated and expensive using traditional software messaging middleware on general purpose servers. In order to realize the full value of “big data” some organizations are switching to real-time message-oriented middleware appliances that excel at the high-speed distribution of large volumes of data.

open source data mining tools  big data,real-time,big data applications,datacenter,message-oriented,middleware appliances,middleware Read More

Got Big Data? Net Big Dollars!


Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data.

open source data mining tools  big data management,data repositories Read More

How to Use Data Management Successfully


Find out in the white paper master data management: extracting value from your most important intangible asset.

open source data mining tools  effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account, but other parts of the company aren't even aware of it. Partners and customers refer to parts you manufacture or distribute in a number of different ways, causing problems with order processing and inventory control. Your company has been involved in a merger or acquisition, and you're finding it difficult or impossible to create a single unduplicated database. The volume of Read More

Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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Flexible Customer Data Integration Solution Adapts to Your Business Needs


Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data. The type of CDI hub implemented depends on the CDI environment's maturity, requirements, and alignment with an organization's internal processes.

open source data mining tools  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization's customer-related data does not affect a company's bottom line, unless Read More

Top Software for Mining Companies


For your own customized comparison reports, select a category below: ERP & CMMS for Mining. EAM for Mining. Accounting Software Systems.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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Master Data Management: Extracting Value from Your Most Important Intangible Asset


In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.

open source data mining tools  Data Management: Extracting Value from Your Most Important Intangible Asset Master Data Management: Extracting Value from Your Most Important Intangible Asset 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 Read More

Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Today’s business intelligence (BI) systems have to change, because they’re confronted with new technological developments and new business requirements, such as productivity improvement and systems as well as data in the cloud. This white paper describes a lean form of on-demand data integration technology called data virtualization, and shows you how deploying data virtualization results in BI systems with simpler and more agile architectures that can confront the new challenges much easier.

open source data mining tools  BI, business intelligence, operational intelligence, Hadoop, NoSQL, self-service BI, data virtualization, big data, on-demand data integration, lean data integration, JBoss Data Virtualization Read More