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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 Read More

Core PLM for Discrete Industries
The foundation of product lifecycle management (PLM) for the discrete manufacturing industries is product data management (PDM). It covers design and product-related aspects of PLM including manage...
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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

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

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

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

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

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

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

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

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

semi structured data  IBM,data protection,disaster recovery,disaster recovery plan,data protection manager,disaster recovery planning,backup disaster recovery,data disaster recovery,data protection system,disaster recovery software,continuous data protection,disaster recovery services,data protection services,disaster recovery systems,data disaster recovery plan Read More
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

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

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

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

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

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

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