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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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 semi structured data


About Big Data
There may not be a consensus with respect to just how big

semi structured data  sources of data from semi- or nonstructured social media sources, such as blogs and tweets, as well as data coming from sensors and even plain-text documents. Velocity. As with traditional types of solutions (e.g., the data warehouse), latency periods are being reduced. Information is often sensitive and needs to be used and moved according to certain timeframes to obtain the best possible value from it. Real-time or near real-time answers are common needs in modern organizations. Once it’s established

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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

ERP for Mill-based and Material Converting Environments

The ERP for Mill-based and Material Converting Environments knowledge base focuses on a range of industrial activities that add value to raw materials by processing them into a form suitable for further manufacturing or for immediate end-use. These activities include traditional mills that turn grain into flour or extract sucrose from sugar cane; the spinning and weaving mills of the textiles and carpets sectors; the rolling plants of steel, aluminum, and other metals semi-fabricators; to the continuous outputs of paper and board mills. 

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Documents related to » semi structured data

A Semi-open Source Vendor Discusses Market Trends


A response to trends in the open source software market comes this time from relative newcomer provider xTuple. This vendor’s footprint isn’t entirely in the open source door, however, with OpenMFG, its commercially licensed solution with an open source infrastructure.

semi structured data  aerospace, automotive parts, etc.); semiconductor and electronics (imaging sensors, magnetic encoders, storage, backup hardware, etc.); and consumer goods or retail manufacturers (dental, beauty epoxies, post-surgical garments, etc.). One particular functionality that makes xTuple applicable to various, seemingly unrelated industries is breeder BOM (also known as inverted BOM, or reverse BOM elsewhere in the industry), which manages coproducts and byproducts. While this need is obvious in food industries Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

semi structured data  and transformed into a semi-structured (XML, for example) or structured format. Cleansing and transforming unstructured data improves operational efficiency and can add significant value to existing decision-making applications. Examples of applications here include: Customer and market intelligence-Internet Web pages Customer sentiment and complaint analysis-Web logs (blogs) and customer support center call records Product safety and quality analysis-service center records Product master data management- 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 perhaps that SAP Ventures owns a piece of privately held Endeca. In the world of home appliances, SAP would be analogous to a tried-and-true refrigerator, but with the most advanced features in the market, such as a built-in

semi structured data  Endeca’s Secret Sauce The  semi-structured model  helps overcome the drawbacks 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 (perha Read More

Vitria OI 4: Data for Today and for the Future


Vitria is a long-time player in the provisioning of software solutions for analyzing information in real time. Founded in 1994 by two entrepreneurs—Drs. JoMei Chang and Dale Skeen, Vitria’s current chief executive officer (CEO) and chief technology officer (CTO), respectively, Vitria has evolved its operational intelligence and business process management (BPM) applications into mature and stable

semi structured data  Possibility of analyzing structured, semi-structured, and loosely structured data Platform Availability of cloud, multi-tier, and clustering architectures Automatic load partitioning and assignment New fault-tolerance features for N+K resiliency for more robust information security and transmission Operational  intelligence Ability for performing real-time process intelligence Ability for performing BPM across multiple dimensions The first two bullets address two major trends in the information Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

semi structured data  data warehouse model,data warehouse software,enterprise data warehouse,olap database,olap tools,data warehouse concepts,data warehouse schema,data warehouse system,data warehouse tools,data warehouse training,olap data warehouse,building a data warehouse,building the data warehouse,business intelligence olap,data warehouse data mart Read More

The Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

semi structured data  various forms—structured, unstructured, or semistructured. Data can be seen from both technical and business perspectives. Data can be seen from a user-centric perspective—to promote awareness of data security across your organization. Now let’s look at some guidelines you should consider when launching an information security governance program and a general plan to follow from an information security perspective: Identify and define. Identify. The first step in this process involves scoping the Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

semi structured data  product data,product data analyst,product data base,product data feed,product data file,product data information,product data mastering,product data services,product data solutions,product data specialist Read More

Informatica PowerCenter 5 Enables Enterprise Data Integration


Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

semi structured data  data integration,data cleansing software,free etl tools,data profiling tool,data profiler,data warehouse software,etl comparison,data quality tools,data mapping software,data extraction tools,talend etl,free etl,etl software,data warehousing software,saas integration Read More

New Data Protection Strategies


One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets.

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

semi structured data  data visualization, data visualization tools, business intelligence, business analytics, big data analytics Read More

Data Quality: Cost or Profit?


Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

semi structured data  Quality: Cost or Profit? Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can Read More

Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security


Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace.

semi structured data   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.

semi structured data  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

2012 Business Data Loss Survey results


This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

semi structured data  data protection,data backup,2012 data statistics,data loss,business data backup Read More